eMLR - model fitting

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Last updated: 2021-08-01

Checks: 7 0

Knit directory: emlr_mod_v_XXX/

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R Markdown file: up-to-date

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Environment: empty

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Seed: set.seed(20200707)

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Session information: recorded

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File paths: relative

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Repository version: 767a670

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Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

---

These are the previous versions of the repository in which changes were made to the R Markdown (analysis/eMLR_model_fitting.Rmd) and HTML (docs/eMLR_model_fitting.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File	Version	Author	Date	Message
html	af832ef	Donghe-Zhu	2021-07-31	Build site.
html	016f9ed	Donghe-Zhu	2021-07-31	Build site.
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html	422d5fd	Donghe-Zhu	2021-07-29	Build site.
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html	ec68363	Donghe-Zhu	2021-07-28	Build site.
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html	419cb72	Donghe-Zhu	2021-07-22	Build site.
html	9447d10	Donghe-Zhu	2021-07-22	Build site.
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html	f59f1b3	Donghe-Zhu	2021-07-05	Build site.
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html	1920ad9	Donghe-Zhu	2021-07-04	Build site.
html	0b02791	Donghe-Zhu	2021-06-25	change random subset files
html	caf62d8	Donghe-Zhu	2021-06-25	Build site.
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html	bb413c8	Donghe-Zhu	2021-06-25	Build site.
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html	d517836	Donghe-Zhu	2021-06-24	0
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html	61cae2b	Donghe-Zhu	2021-06-20	1
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html	65c89c8	Donghe-Zhu	2021-06-06	Build site.
html	9baa3b2	Donghe-Zhu	2021-06-06	debug
html	b7d99cf	Donghe-Zhu	2021-06-06	Build site.
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html	e377833	Donghe-Zhu	2021-05-26	Build site.
Rmd	896faa0	Donghe-Zhu	2021-05-18	final
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---

1 Required data

Required are:

• cleaned and prepared GLODAP-based synthetic model subsetting file

GLODAP <-
  read_csv(paste(path_version_data,
                 "GLODAPv2.2020_MLR_fitting_ready.csv",
                 sep = ""))

2 Predictor combinations

Find all possible combinations of following considered predictor variables:

• sal, temp, aou, nitrate

# the following code is a workaround to find all predictor combinations
# using the olsrr package and fit all models for one era, slab, and basin

i_basin <- unique(GLODAP$basin)[1]
i_era   <- unique(GLODAP$era)[1]

# subset one basin and era for fitting
GLODAP_basin_era <- GLODAP %>%
  filter(basin == i_basin, era == i_era)

i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[1]
print(i_gamma_slab)

# subset one gamma slab
GLODAP_basin_era_slab <- GLODAP_basin_era %>%
  filter(gamma_slab == i_gamma_slab)

# fit the full linear model, i.e. all predictor combinations
lm_full <- lm(paste(
  params_local$MLR_target,
  paste(params_local$MLR_predictors, collapse = " + "),
  sep = " ~ "
),
data = GLODAP_basin_era_slab)

# fit linear models for all possible predictor combinations
# unfortunately, this functions does not provide model coefficients (yet)
lm_all <- ols_step_all_possible(lm_full)

# convert to tibble
lm_all <- as_tibble(lm_all)

# extract relevant columns and format model formula
lm_all <- lm_all %>% 
  select(n, predictors) %>%
  mutate(lm_coeff = str_replace_all(predictors, " ", " + "),
         lm_coeff = paste(params_local$MLR_target, "~", lm_coeff))

# remove certain predictor combinations
lm_rm_si <- lm_all %>%
  filter(str_detect(lm_coeff, "silicate_star")) %>%
  mutate(lm_coeff_filter = str_remove(lm_coeff, "silicate_star")) %>%
  filter(str_detect(lm_coeff_filter, "silicate") &
           str_detect(lm_coeff_filter, "nitrate")) %>%
  select(-lm_coeff_filter)

lm_rm_ph <- lm_all %>%
  filter(str_detect(lm_coeff, "phosphate_star")) %>%
  mutate(lm_coeff_filter = str_remove(lm_coeff, "phosphate_star")) %>%
  filter(str_detect(lm_coeff_filter, "phosphate") &
           str_detect(lm_coeff_filter, "oxygen")) %>%
  select(-lm_coeff_filter)

lm_rm <- bind_rows(lm_rm_ph, lm_rm_si) %>%
  unique()

lm_all <- anti_join(lm_all, lm_rm)

# remove temp sal predictor combination
# lm_all <- lm_all %>%
# # filter(!(
# #   str_detect(lm_coeff, "temp") &
# #     str_detect(lm_coeff, "phosphate_star")
# # )) %>%
# mutate(lm_coeff_filter = str_remove(lm_coeff, "phosphate_star")) %>%
# filter(!(str_detect(lm_coeff_filter, "nitrate") &
#            str_detect(lm_coeff_filter, "phosphate")
# )) %>%
# filter(!(
#   str_detect(lm_coeff_filter, "temp") &
#     str_detect(lm_coeff_filter, "sal")
# )) %>%
# # filter(!(
# #   str_detect(lm_coeff_filter, "oxygen") &
# #     str_detect(lm_coeff_filter, "aou")
# # )) %>%
# select(-lm_coeff_filter)

# remove helper objects
rm(
  i_gamma_slab,
  i_era,
  i_basin,
  GLODAP_basin_era,
  GLODAP_basin_era_slab,
  lm_full,
  lm_rm_ph,
  lm_rm_si,
  lm_rm_o2,
  lm_rm
)

# lm_full <- lm(paste(
#   params_local$MLR_target,
#   paste(params_local$MLR_predictors, collapse = " + "),
#   sep = " ~ "
# ),
# data = GLODAP_basin_era_slab)
# 
# lm_full <-
#   loess(
#     cstar_tref ~ sal + temp + aou + phosphate,
#     span = 0.1,
#     degree = 1,
#     data = GLODAP_basin_era_slab
#   )

3 Apply predictor threshold

Select combinations with a total number of predictors in the range:

• Minimum: 2
  
• Maximum: 5

lm_all <- lm_all %>% 
  filter(n >= params_local$MLR_predictors_min,
         n <= params_local$MLR_predictors_max)

This results in a total number of MLR models of:

• 11

4 Fit all models

Individual linear regression models were fitted for the chosen target variable:

• cstar_tref

as a function of each predictor combination. Fitting was performed separately within each basin, era, and slab. Model diagnostics, such as the root mean squared error (RMSE), were calculated for each fitted model.

# loop across all basins, era, gamma slabs, and MLRs
# fit all MLR models
for (i_basin in unique(GLODAP$basin)) {
  for (i_era in unique(GLODAP$era)) {
    #i_basin <- unique(GLODAP$basin)[1]
    #i_era   <- unique(GLODAP$era)[1]
    print(i_basin)
    print(i_era)
    
    GLODAP_basin_era <- GLODAP %>%
      filter(basin == i_basin, era == i_era)
    
    for (i_gamma_slab in unique(GLODAP_basin_era$gamma_slab)) {
      #i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[1]
      print(i_gamma_slab)
      
      GLODAP_basin_era_slab <- GLODAP_basin_era %>%
        filter(gamma_slab == i_gamma_slab)
      
      # number of observations used for each fitting model
      i_nr_obs = nrow(GLODAP_basin_era_slab)
      
      for (i_predictors in unique(lm_all$predictors)) {
        #i_predictors <- unique(lm_all$predictors)[100]
        
        # extract one model definition
        i_lm <- lm_all %>%
          filter(predictors == i_predictors) %>%
          select(lm_coeff) %>%
          pull()
        
        # extract number of predictors
        i_n_predictors <- lm_all %>%
          filter(predictors == i_predictors) %>%
          select(n) %>%
          pull()
        
        if (i_nr_obs > i_n_predictors) {
          # fit model
          if (params_local$MLR_type == "rlm") {
            i_lm_fit <- MASS::rlm(as.formula(i_lm),
                                  data = GLODAP_basin_era_slab)
          }
          
          if (params_local$MLR_type == "lm") {
            i_lm_fit <- lm(as.formula(i_lm),
                           data = GLODAP_basin_era_slab)
          }
          
          # find max predictor correlation
          i_cor_max <- GLODAP_basin_era_slab %>%
            select(!!!syms(str_split(i_predictors, " ",
                                     simplify = TRUE))) %>%
            correlate(quiet = TRUE) %>%
            select(-term) %>%
            abs() %>%
            max(na.rm = TRUE)
          
          # calculate root mean squared error
          i_rmse <- sqrt(c(crossprod(i_lm_fit$residuals)) /
                           length(i_lm_fit$residuals))
          
          # calculate maximum residual
          i_resid_max <- max(abs(i_lm_fit$residuals))
          
          # calculate Akaike information criterion aic
          i_aic <- AIC(i_lm_fit)
          
          # calculate max VIF
          if (is.na(max(i_lm_fit$coefficients))) {
            i_vif_max <- as.double("NA")
          } else{
            i_vif_max <- max(vif(i_lm_fit))
          }
          
          # collect model coefficients and diagnostics
          coefficients <- tidy(i_lm_fit)
          
          coefficients <- coefficients %>%
            mutate(
              basin = i_basin,
              era = i_era,
              gamma_slab = i_gamma_slab,
              model = i_lm,
              nr_obs = i_nr_obs,
              rmse = i_rmse,
              aic = i_aic,
              vif_max = i_vif_max,
              resid_max = i_resid_max,
              n_predictors = i_n_predictors,
              na_predictor = anyNA(coefficients$estimate),
              cor_max = i_cor_max
            )
          
          if (exists("lm_all_fitted")) {
            lm_all_fitted <- bind_rows(lm_all_fitted, coefficients)
          }
          
          if (!exists("lm_all_fitted")) {
            lm_all_fitted <- coefficients
          }
        }
      }
    }
  }
}

rm(
  i_lm_fit,
  coefficients,
  i_rmse,
  GLODAP_basin_era,
  GLODAP_basin_era_slab,
  i_lm,
  i_basin,
  i_era,
  i_gamma_slab,
  i_nr_obs,
  i_predictors,
  i_aic,
  i_vif_max,
  i_n_predictors,
  i_resid_max
)

5 Prepare coeffcients

Coefficients are prepared for the mapping of Cant and the chosen target variable.

5.1 Formatting

# lm_all_fitted <- lm_all_fitted_1

# lm_all_fitted <-
#   read_csv(paste(path_version_data,
#                   "lm_all_fitted.csv",
#                   sep = ""))

# select relevant columns
lm_all_fitted <- lm_all_fitted %>%
  select(
    basin,
    gamma_slab,
    era,
    model,
    nr_obs,
    n_predictors,
    term,
    estimate,
    rmse,
    aic,
    vif_max,
    resid_max,
    na_predictor,
    cor_max
  )

# set coefficient to zero if not fitted (=NA)
lm_all_fitted <- lm_all_fitted %>%
  mutate(estimate = if_else(is.na(estimate), 0, estimate))

# Prepare model coefficients for mapping of target variable
lm_all_fitted_wide <- lm_all_fitted %>%
  pivot_wider(
    values_from = estimate,
    names_from = term,
    names_prefix = "coeff_",
    values_fill = 0
  )

5.2 Predictor selection

Within each basin and slab, the following number of best linear regression models was selected:

• 10

The criterion used to select the best models was:

• rmse

The criterion was summed up for two adjacent eras, and the models with lowest summed values were selected.

Please note, that currently the lm() function produces NAs for some predictors. It is not yet entirely clear when this happens, but presumably it is caused by some form of collinearity between predictors, such that including another predictor does not help to explain the target variable any better. The issues also expresses as exactly identical rmse values of different models. As an interim solution, models with fitted NA predictors were not included.

# remove models with predictors fitted as NA
lm_all_fitted_wide <- lm_all_fitted_wide %>%
  filter(na_predictor == FALSE)

5.3 VIF threshold

To avoid multicollinearity among predictors, models were excluded with a VIF above:

• 1000

After removing models affected by multicollinearity, the targeted number of MLRs (10) was undercut in following fitting units:

# remove models with predictors fitted as NA
lm_all_fitted_wide <- lm_all_fitted_wide %>%
  filter(vif_max <= params_local$vif_max)

# lm_all_fitted_wide_check <- lm_all_fitted_wide %>%
#   group_by(era, basin, gamma_slab) %>% 
#   count() 
#   filter(n < params_local$MLR_number)

# calculate RMSE sum for adjacent eras
lm_all_fitted_wide_eras <- lm_all_fitted_wide %>%
  select(basin, gamma_slab, n_predictors, model, era, nr_obs, rmse, aic, vif_max, resid_max) %>%
  arrange(era) %>%
  group_by(basin, gamma_slab, model) %>%
  mutate(
    eras = paste(lag(era), era, sep = " --> "),
    rmse_sum = rmse + lag(rmse),
    rmse_lag = lag(rmse),
    aic_sum = aic + lag(aic),
    vif_max_sum = vif_max + lag(vif_max)
  ) %>%
  ungroup() %>%
  select(-c(era)) %>%
  drop_na() %>%
  filter(eras != "1982-1999 --> 2010-2019",
         eras != "1982-1999 --> 2008-2019")

# filter tripairs
lm_all_fitted_wide_eras <- lm_all_fitted_wide_eras %>%
  mutate(rmse = round(rmse, digits = 7), rmse_lag = round(rmse_lag, digits = 7)) %>%
  group_by(basin, gamma_slab, eras, rmse) %>%
  sample_n(1) %>%
  ungroup()

# calculate rank for each era
lm_all_fitted_wide_eras <- lm_all_fitted_wide_eras %>%
  group_by(eras, basin, gamma_slab) %>% 
  mutate(rank = rank(rmse, ties.method="first"),
         rank_sum = rank + rank(rmse_lag, ties.method="first")) %>%
  ungroup()

# subset models with lowest summed criterion
# chose which criterion is applied

if (params_local$MLR_criterion == "aic") {
  lm_best <- lm_all_fitted_wide_eras %>%
    group_by(basin, gamma_slab, eras) %>%
    slice_min(order_by = aic_sum,
              with_ties = FALSE,
              n = params_local$MLR_number) %>%
    ungroup() %>%
    arrange(basin, gamma_slab, eras, aic_sum)
} else if (params_local$MLR_criterion == "rmse") {
  lm_best <- lm_all_fitted_wide_eras %>%
    group_by(basin, gamma_slab, eras) %>%
    slice_min(order_by = rmse_sum,
              with_ties = FALSE,
              n = params_local$MLR_number) %>%
    ungroup() %>%
    arrange(basin, gamma_slab, eras, rmse_sum)
} else {
  lm_best <- lm_all_fitted_wide_eras %>%
    group_by(basin, gamma_slab, eras) %>%
    slice_min(order_by = rank_sum,
              with_ties = FALSE,
              n = params_local$MLR_number) %>%
    ungroup() %>%
    arrange(basin, gamma_slab, eras, rank_sum)
}

5.4 RMSE tables

5.4.1 per model

lm_best %>%
  kable() %>%
  add_header_above() %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "400px")

basin	gamma_slab	n_predictors	model	nr_obs	rmse	aic	vif_max	resid_max	eras	rmse_sum	rmse_lag	aic_sum	vif_max_sum	rank	rank_sum
Atlantic	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	250	7.6401130	1738.17546	55.198842	23.4873407	1982-1999 –> 2000-2009	14.9386133	7.2985003	4455.02175	136.453717	1	2
Atlantic	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	250	7.7024640	1740.23940	50.334169	22.0979465	1982-1999 –> 2000-2009	15.0520964	7.3496325	4460.62894	120.915534	2	4
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	250	8.3151381	1778.50813	51.964021	19.9807712	1982-1999 –> 2000-2009	15.6953117	7.3801736	4502.19027	123.132672	3	6
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	250	10.1241230	1876.92976	11.434564	23.7944811	1982-1999 –> 2000-2009	19.6692444	9.5451214	4804.85492	26.317477	4	9
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	250	10.2359447	1882.42203	11.166309	25.9296572	1982-1999 –> 2000-2009	19.7194776	9.4835329	4805.20741	25.465181	6	10
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + temp	250	10.2574023	1881.46908	9.779675	27.1908295	1982-1999 –> 2000-2009	19.8087661	9.5513638	4807.91333	21.558747	7	13
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + nitrate	250	10.3313826	1885.06233	1.001386	24.9725443	1982-1999 –> 2000-2009	19.9118911	9.5805085	4813.92567	2.072536	9	17
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + aou	250	10.3733493	1887.08924	1.000000	26.6967903	1982-1999 –> 2000-2009	19.9270118	9.5536625	4813.72456	2.076912	10	17
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + nitrate	250	10.1510576	1876.25822	1.007506	23.4236471	1982-1999 –> 2000-2009	20.1523614	10.0013038	4839.25149	2.171256	5	14
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + aou	250	10.3006015	1883.57041	1.012737	25.2961783	1982-1999 –> 2000-2009	20.3364457	10.0358442	4849.30111	2.174869	8	18
Atlantic	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	318	6.3482322	2089.88508	37.457740	22.2997307	2000-2009 –> 2010-2019	13.9883452	7.6401130	3828.06054	92.656581	1	2
Atlantic	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	318	6.4491887	2097.91987	33.806311	21.4454045	2000-2009 –> 2010-2019	14.1516527	7.7024640	3838.15927	84.140480	2	4
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	318	7.3638263	2182.26958	34.592724	21.3456144	2000-2009 –> 2010-2019	15.6789644	8.3151381	3960.77771	86.556746	3	6
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	318	8.5478516	2277.09737	13.551882	21.8677794	2000-2009 –> 2010-2019	18.6719746	10.1241230	4154.02713	24.986446	4	8
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + nitrate	318	8.5660760	2276.45191	1.008796	21.8639676	2000-2009 –> 2010-2019	18.7171336	10.1510576	4152.71013	2.016302	5	10
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	318	8.6653347	2285.77914	13.323761	23.1819302	2000-2009 –> 2010-2019	18.9012795	10.2359447	4168.20116	24.490070	6	12
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + temp	318	8.6824973	2285.03755	12.986800	23.6861566	2000-2009 –> 2010-2019	18.9398995	10.2574023	4166.50663	22.766475	7	14
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + aou	318	8.7000492	2286.32195	1.012555	23.2547087	2000-2009 –> 2010-2019	19.0006507	10.3006015	4169.89236	2.025292	8	16
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + nitrate	318	8.8679969	2298.48243	1.001466	22.9843246	2000-2009 –> 2010-2019	19.1993795	10.3313826	4183.54476	2.002852	9	18
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + aou	318	8.9291585	2302.85380	1.004936	23.3164916	2000-2009 –> 2010-2019	19.3025079	10.3733493	4189.94305	2.004936	10	20
Atlantic	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	931	5.1302665	5698.72702	100.039475	21.8695573	1982-1999 –> 2000-2009	10.6697958	5.5395293	14082.61474	204.225449	1	2
Atlantic	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	931	5.2268282	5731.44777	64.740503	22.6856146	1982-1999 –> 2000-2009	10.8501967	5.6233685	14153.50255	151.618227	2	4
Atlantic	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	931	6.2937940	6077.33185	55.845754	26.6927455	1982-1999 –> 2000-2009	12.7675634	6.4737694	14875.95980	127.929592	3	6
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + aou	931	8.5005253	6636.98180	13.430053	36.4726885	1982-1999 –> 2000-2009	16.5819963	8.0814711	16028.74410	28.258429	4	8
Atlantic	(26,26.5]	2	cstar_tref ~ sal + aou	931	8.5779336	6651.86101	1.015911	36.3598524	1982-1999 –> 2000-2009	16.6600337	8.0821000	16041.83141	2.118353	5	10
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	931	8.6604124	6671.67902	14.178491	36.2406376	1982-1999 –> 2000-2009	16.9459829	8.2855705	16130.13514	29.927011	6	13
Atlantic	(26,26.5]	2	cstar_tref ~ sal + nitrate	931	8.7268942	6683.91811	1.028114	35.9718994	1982-1999 –> 2000-2009	17.0150414	8.2881472	16141.20568	2.182874	7	15
Atlantic	(26,26.5]	2	cstar_tref ~ sal + temp	931	8.7857355	6696.43057	12.599938	34.7003069	1982-1999 –> 2000-2009	17.3115593	8.5258238	16229.32068	25.362029	8	18
Atlantic	(26,26.5]	2	cstar_tref ~ temp + aou	931	9.2956389	6801.47699	1.037276	34.2255661	1982-1999 –> 2000-2009	17.5276265	8.2319876	16240.58416	2.219020	9	15
Atlantic	(26,26.5]	2	cstar_tref ~ temp + nitrate	931	9.4004640	6822.35691	1.067450	33.6256460	1982-1999 –> 2000-2009	17.8118554	8.4113913	16319.11391	2.343155	10	19
Atlantic	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	1138	5.3872905	7074.38498	77.184436	29.3349136	2000-2009 –> 2010-2019	10.5175570	5.1302665	12773.11200	177.223911	1	2
Atlantic	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	1138	5.5015664	7120.15885	59.490084	25.8601580	2000-2009 –> 2010-2019	10.7283945	5.2268282	12851.60662	124.230587	2	4
Atlantic	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	1138	6.6485476	7551.15490	50.885655	25.3227378	2000-2009 –> 2010-2019	12.9423416	6.2937940	13628.48675	106.731409	3	6
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + aou	1138	8.5534836	8124.57084	16.336829	31.1934461	2000-2009 –> 2010-2019	17.0540088	8.5005253	14761.55264	29.766882	6	10
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	1138	8.4373415	8093.45481	17.411926	33.9126687	2000-2009 –> 2010-2019	17.0977539	8.6604124	14765.13383	31.590417	4	10
Atlantic	(26,26.5]	2	cstar_tref ~ sal + aou	1138	8.5535127	8122.57859	1.011564	31.1446273	2000-2009 –> 2010-2019	17.1314463	8.5779336	14774.43960	2.027475	7	12
Atlantic	(26,26.5]	2	cstar_tref ~ sal + nitrate	1138	8.4479836	8094.32375	1.030905	32.9064492	2000-2009 –> 2010-2019	17.1748778	8.7268942	14778.24186	2.059019	5	12
Atlantic	(26,26.5]	2	cstar_tref ~ sal + temp	1138	8.5878479	8131.69653	14.568592	29.5603373	2000-2009 –> 2010-2019	17.3735834	8.7857355	14828.12710	27.168530	8	16
Atlantic	(26,26.5]	2	cstar_tref ~ temp + nitrate	1138	8.6619996	8151.26428	1.079495	38.0294908	2000-2009 –> 2010-2019	18.0624636	9.4004640	14973.62119	2.146945	9	19
Atlantic	(26,26.5]	2	cstar_tref ~ temp + aou	1138	8.8711534	8205.56788	1.036997	35.7839889	2000-2009 –> 2010-2019	18.1667923	9.2956389	15007.04487	2.074272	10	19
Atlantic	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	1005	3.5261189	5397.06405	141.905014	10.4959891	1982-1999 –> 2000-2009	7.3377276	3.8116087	12913.59043	262.157822	1	2
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	1005	3.6196461	5447.68271	107.689280	10.7748715	1982-1999 –> 2000-2009	7.6130996	3.9934536	13089.06817	192.753555	2	5
Atlantic	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	1005	3.8643766	5579.18521	124.494132	13.6037093	1982-1999 –> 2000-2009	7.7480673	3.8836907	13144.70716	226.675115	3	5
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	1005	6.7133063	6689.29051	22.820446	27.7134317	1982-1999 –> 2000-2009	13.1946410	6.4813347	15648.85903	45.723532	5	9
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	1005	6.6221213	6661.80211	22.534969	26.8459926	1982-1999 –> 2000-2009	13.3116336	6.6895123	15707.42532	45.227133	4	9
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + temp	1005	6.7763214	6706.06957	21.933765	28.4777265	1982-1999 –> 2000-2009	13.8311124	7.0547910	15894.41059	44.461282	6	14
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + aou	1005	7.0904460	6797.15042	1.109867	24.0010951	1982-1999 –> 2000-2009	13.8602306	6.7697846	15873.24247	2.259364	8	14
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	1005	7.0061109	6773.09979	1.164639	23.0609390	1982-1999 –> 2000-2009	14.0266527	7.0205418	15948.19403	2.398738	7	14
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + aou	1005	7.7262347	6969.75595	1.085536	23.8090623	1982-1999 –> 2000-2009	14.8734635	7.1472288	16193.53127	2.218859	10	19
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + nitrate	1005	7.6854472	6959.11687	1.140913	24.9616993	1982-1999 –> 2000-2009	15.0983741	7.4129269	16282.24698	2.366406	9	19
Atlantic	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	1041	4.0042812	5854.72206	134.016430	17.2076972	2000-2009 –> 2010-2019	7.5304001	3.5261189	11251.78611	275.921444	1	2
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	1041	4.0404712	5871.45430	79.221760	18.1205132	2000-2009 –> 2010-2019	7.6601173	3.6196461	11319.13701	186.911040	2	4
Atlantic	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	1041	4.3102081	6006.00325	101.137504	20.8524098	2000-2009 –> 2010-2019	8.1745847	3.8643766	11585.18846	225.631636	3	6
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	1041	5.8825414	6653.51088	26.021535	28.8056873	2000-2009 –> 2010-2019	12.5046627	6.6221213	13315.31299	48.556504	4	8
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	1041	6.0243767	6703.11483	25.468026	30.0576077	2000-2009 –> 2010-2019	12.7376830	6.7133063	13392.40535	48.288472	5	10
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + temp	1041	6.3249483	6802.48289	25.166460	32.9806846	2000-2009 –> 2010-2019	13.1012697	6.7763214	13508.55246	47.100225	6	12
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	1041	6.5128329	6863.42857	1.050122	32.5049038	2000-2009 –> 2010-2019	13.5189437	7.0061109	13636.52835	2.214761	7	14
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + aou	1041	6.7486203	6937.47192	1.013364	32.9086246	2000-2009 –> 2010-2019	13.8390663	7.0904460	13734.62233	2.123231	8	16
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + nitrate	1041	7.2437223	7084.87153	1.066297	35.2489518	2000-2009 –> 2010-2019	14.9291695	7.6854472	14043.98839	2.207210	9	18
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + aou	1041	7.4614097	7146.51780	1.018307	35.5170973	2000-2009 –> 2010-2019	15.1876444	7.7262347	14116.27375	2.103842	10	20
Atlantic	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	1569	3.3190080	8229.18080	80.482967	31.8028448	1982-1999 –> 2000-2009	6.6258281	3.3068202	19354.61456	186.086579	1	2
Atlantic	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	1569	3.3530418	8259.19469	67.220946	33.5664702	1982-1999 –> 2000-2009	6.7777431	3.4247013	19531.49399	155.169256	2	4
Atlantic	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	1569	4.2104427	8973.71684	80.398692	21.6428120	1982-1999 –> 2000-2009	8.1388700	3.9284274	20829.22213	185.968524	3	6
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	1569	6.4008509	10288.10938	19.170528	41.0030288	1982-1999 –> 2000-2009	12.8427639	6.4419131	24245.60675	36.563440	4	8
Atlantic	(26.75,27]	2	cstar_tref ~ sal + nitrate	1569	6.6827509	10421.35336	1.445712	42.6420507	1982-1999 –> 2000-2009	13.3160978	6.6333469	24501.30746	3.024003	5	11
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + aou	1569	7.0986979	10612.83099	19.200424	42.3347019	1982-1999 –> 2000-2009	13.6782048	6.5795070	24660.14897	36.591008	7	12
Atlantic	(26.75,27]	2	cstar_tref ~ temp + nitrate	1569	7.0163451	10574.21391	1.419425	43.8263719	1982-1999 –> 2000-2009	13.8223794	6.8060343	24763.39353	2.903124	6	15
Atlantic	(26.75,27]	2	cstar_tref ~ sal + aou	1569	7.4515263	10763.04757	1.192503	45.4677335	1982-1999 –> 2000-2009	14.2163210	6.7647947	24926.39697	2.480193	8	16
Atlantic	(26.75,27]	2	cstar_tref ~ aou + nitrate	1569	7.6285661	10836.73098	21.490999	38.4030454	1982-1999 –> 2000-2009	14.4410136	6.8124475	25029.91345	48.404873	9	19
Atlantic	(26.75,27]	2	cstar_tref ~ temp + aou	1569	7.6292243	10837.00174	1.170789	45.9293050	1982-1999 –> 2000-2009	14.5116334	6.8824091	25073.60770	2.395946	10	21
Atlantic	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	1467	3.4638689	7820.32663	76.401886	22.5616218	2000-2009 –> 2010-2019	6.7828769	3.3190080	16049.50743	156.884853	1	2
Atlantic	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	1467	3.4681761	7821.97264	51.088386	22.6617780	2000-2009 –> 2010-2019	6.8212179	3.3530418	16081.16733	118.309331	2	4
Atlantic	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	1467	4.6845262	8704.03851	73.882164	19.2523695	2000-2009 –> 2010-2019	8.8949689	4.2104427	17677.75535	154.280856	3	6
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	1467	5.6280763	9242.43608	16.597276	21.8541666	2000-2009 –> 2010-2019	12.0289272	6.4008509	19530.54545	35.767804	4	8
Atlantic	(26.75,27]	2	cstar_tref ~ sal + nitrate	1467	6.3509865	9594.98783	1.155046	20.9701354	2000-2009 –> 2010-2019	13.0337374	6.6827509	20016.34119	2.600758	6	11
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + aou	1467	6.2750444	9561.69304	16.679166	24.9801820	2000-2009 –> 2010-2019	13.3737423	7.0986979	20174.52404	35.879590	5	12
Atlantic	(26.75,27]	2	cstar_tref ~ temp + nitrate	1467	6.9592229	9863.32464	1.145181	21.7636451	2000-2009 –> 2010-2019	13.9755680	7.0163451	20437.53854	2.564605	7	13
Atlantic	(26.75,27]	2	cstar_tref ~ sal + aou	1467	7.1714409	9951.45840	1.021221	21.1229924	2000-2009 –> 2010-2019	14.6229672	7.4515263	20714.50597	2.213723	8	16
Atlantic	(26.75,27]	2	cstar_tref ~ temp + aou	1467	7.5361460	10096.99748	1.014482	21.5886515	2000-2009 –> 2010-2019	15.1653703	7.6292243	20933.99922	2.185271	9	19
Atlantic	(26.75,27]	2	cstar_tref ~ aou + nitrate	1467	7.8686313	10223.66771	13.802554	21.0951842	2000-2009 –> 2010-2019	15.4971974	7.6285661	21060.39869	35.293553	10	19
Atlantic	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	1898	3.4284090	10075.32821	35.179230	37.6844730	1982-1999 –> 2000-2009	6.8121222	3.3837132	26373.79825	107.275683	1	2
Atlantic	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	1898	3.4631602	10111.61170	33.440892	39.2819422	1982-1999 –> 2000-2009	6.8798651	3.4167049	26467.98756	97.900089	2	4
Atlantic	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	1898	4.2132934	10855.86721	29.685965	24.2217081	1982-1999 –> 2000-2009	8.7854681	4.5721748	29010.80566	87.749869	3	6
Atlantic	(27,27.25]	2	cstar_tref ~ aou + nitrate	1898	5.7269497	12019.00552	3.868593	27.0691460	1982-1999 –> 2000-2009	11.4607811	5.7338314	31569.70665	10.368239	5	9
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	1898	5.7105789	12010.13894	20.224721	26.5997893	1982-1999 –> 2000-2009	12.1708896	6.4603107	32299.35777	40.080112	4	9
Atlantic	(27,27.25]	2	cstar_tref ~ temp + nitrate	1898	5.7728371	12049.29994	1.620244	26.2021732	1982-1999 –> 2000-2009	12.3055725	6.5327354	32405.34862	3.808561	7	13
Atlantic	(27,27.25]	2	cstar_tref ~ sal + nitrate	1898	5.7399808	12027.63314	1.685395	26.4570499	1982-1999 –> 2000-2009	12.3661806	6.6261998	32471.38790	4.091649	6	13
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + aou	1898	7.2226794	12901.84052	19.669966	47.5571727	1982-1999 –> 2000-2009	14.2703924	7.0477130	33728.35642	38.651921	8	16
Atlantic	(27,27.25]	2	cstar_tref ~ temp + aou	1898	7.2230053	12900.01179	1.032172	47.5544051	1982-1999 –> 2000-2009	14.2813457	7.0583404	33733.83058	2.272674	9	18
Atlantic	(27,27.25]	2	cstar_tref ~ sal + aou	1898	7.2845585	12932.22360	1.040002	47.0985775	1982-1999 –> 2000-2009	14.5176528	7.2330944	33917.03976	2.331880	10	20
Atlantic	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	1874	4.2827701	10782.02254	42.618406	30.0185336	2000-2009 –> 2010-2019	7.7111791	3.4284090	20857.35075	77.797635	1	2
Atlantic	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	1874	4.2832563	10780.44795	36.127885	30.0189729	2000-2009 –> 2010-2019	7.7464164	3.4631602	20892.05964	69.568777	2	4
Atlantic	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	1874	5.6547086	11821.54882	37.930423	22.1914364	2000-2009 –> 2010-2019	9.8680020	4.2132934	22677.41603	67.616388	3	6
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	1874	6.5689163	12383.22518	18.382202	24.2412798	2000-2009 –> 2010-2019	12.2794952	5.7105789	24393.36412	38.606923	4	8
Atlantic	(27,27.25]	2	cstar_tref ~ aou + nitrate	1874	6.8465500	12536.37741	3.716062	22.7846303	2000-2009 –> 2010-2019	12.5734997	5.7269497	24555.38293	7.584655	5	10
Atlantic	(27,27.25]	2	cstar_tref ~ sal + nitrate	1874	6.9253340	12579.25979	1.509013	21.4717438	2000-2009 –> 2010-2019	12.6653148	5.7399808	24606.89292	3.194408	6	12
Atlantic	(27,27.25]	2	cstar_tref ~ temp + nitrate	1874	6.9751260	12606.11088	1.423127	22.3603657	2000-2009 –> 2010-2019	12.7479631	5.7728371	24655.41082	3.043371	7	14
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + aou	1874	7.8431763	13047.72692	17.870787	33.3983923	2000-2009 –> 2010-2019	15.0658557	7.2226794	25949.56745	37.540753	8	16
Atlantic	(27,27.25]	2	cstar_tref ~ temp + aou	1874	8.0054989	13122.50385	1.003940	31.5785178	2000-2009 –> 2010-2019	15.2285041	7.2230053	26022.51564	2.036111	9	18
Atlantic	(27,27.25]	2	cstar_tref ~ sal + aou	1874	8.2997705	13257.80366	1.011797	30.5809621	2000-2009 –> 2010-2019	15.5843290	7.2845585	26190.02726	2.051798	10	20
Atlantic	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	2834	3.3147248	14846.93093	25.674332	21.5753151	1982-1999 –> 2000-2009	6.8352133	3.5204884	35229.64212	96.297520	1	2
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	2834	3.3645312	14929.46356	20.967206	22.8188165	1982-1999 –> 2000-2009	6.9039667	3.5394355	35351.01078	86.125193	2	4
Atlantic	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	2834	3.4098006	15005.21747	18.969186	16.0505537	1982-1999 –> 2000-2009	7.3692667	3.9594660	36279.94044	57.835578	3	6
Atlantic	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	2834	3.8879566	15747.02862	2.017967	14.9738793	1982-1999 –> 2000-2009	8.1200925	4.2321359	37526.42630	4.381241	7	11
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	2834	3.8007214	15620.40565	23.126656	15.5183682	1982-1999 –> 2000-2009	8.4205286	4.6198072	38068.61542	48.042125	4	9
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	2834	3.8073914	15628.34380	1.918046	15.7610969	1982-1999 –> 2000-2009	8.4273417	4.6199503	38074.78927	4.489112	6	12
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	2834	3.8007946	15618.51476	2.106858	15.4878235	1982-1999 –> 2000-2009	8.4596902	4.6588956	38128.82536	5.155695	5	12
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	2834	7.0307189	19106.78144	21.734212	40.3856320	1982-1999 –> 2000-2009	12.7003686	5.6696497	43112.91452	43.801195	8	16
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + aou	2834	7.1056349	19164.85743	1.006671	42.2633117	1982-1999 –> 2000-2009	12.8472703	5.7416355	43264.97886	2.085110	9	18
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + aou	2834	7.2503163	19279.10719	1.001432	36.7871982	1982-1999 –> 2000-2009	13.1345582	5.8842419	43565.88191	2.052016	10	20
Atlantic	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	2585	4.7890940	15445.89647	36.762730	48.4451834	2000-2009 –> 2010-2019	8.1038188	3.3147248	30292.82740	62.437062	1	2
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	2585	4.7911372	15446.10169	32.560794	47.4515887	2000-2009 –> 2010-2019	8.1556684	3.3645312	30375.56525	53.528000	2	4
Atlantic	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	2585	5.1845676	15854.11116	23.622045	25.2973907	2000-2009 –> 2010-2019	8.5943683	3.4098006	30859.32863	42.591231	3	6
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	2585	5.2945065	15962.59494	22.860904	25.7283703	2000-2009 –> 2010-2019	9.0952279	3.8007214	31583.00059	45.987560	4	8
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	2585	5.3555031	16019.81665	2.490382	27.0223438	2000-2009 –> 2010-2019	9.1562977	3.8007946	31638.33141	4.597240	5	10
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	2585	5.3770537	16040.57901	2.141064	26.6448745	2000-2009 –> 2010-2019	9.1844451	3.8073914	31668.92281	4.059111	7	13
Atlantic	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	2585	5.3749093	16038.51679	1.446013	25.4929743	2000-2009 –> 2010-2019	9.2628659	3.8879566	31785.54541	3.463980	6	13
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	2585	7.1664243	17527.74554	20.542450	59.5704474	2000-2009 –> 2010-2019	14.1971432	7.0307189	36634.52698	42.276662	8	16
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + aou	2585	7.3809331	17678.22559	1.004573	59.0974619	2000-2009 –> 2010-2019	14.4865680	7.1056349	36843.08301	2.011244	10	19
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + aou	2585	7.3214576	17636.39699	1.015862	59.2291014	2000-2009 –> 2010-2019	14.5717739	7.2503163	36915.50418	2.017294	9	19
Atlantic	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	3833	4.9034347	23078.03150	20.940672	21.1769719	1982-1999 –> 2000-2009	8.9093729	4.0059383	53761.82790	47.098166	1	2
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	3833	4.9129918	23090.95845	15.944498	19.9119340	1982-1999 –> 2000-2009	8.9189987	4.0060069	53772.94213	40.922728	3	5
Atlantic	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	3833	4.9124106	23090.05158	18.025524	19.7748791	1982-1999 –> 2000-2009	8.9909383	4.0785277	53968.09565	38.203868	2	7
Atlantic	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	3833	4.9138462	23090.29155	2.305267	19.6924820	1982-1999 –> 2000-2009	9.0660122	4.1521660	54161.88189	5.033342	4	11
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	3833	5.1211237	23409.02698	18.222999	20.8925904	1982-1999 –> 2000-2009	9.1371737	4.0160500	54118.37285	37.720931	5	8
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	3833	5.1214745	23407.55210	2.245797	21.3302639	1982-1999 –> 2000-2009	9.2000180	4.0785435	54283.63844	4.742770	6	12
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	3833	5.2122812	23542.28385	2.317724	26.3568752	1982-1999 –> 2000-2009	9.2297038	4.0174226	54253.36404	5.366757	7	11
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	3833	6.5017609	25238.89474	17.821860	36.2304816	1982-1999 –> 2000-2009	12.3690587	5.8672978	60090.99479	35.073403	8	16
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + aou	3833	6.6750432	25438.53077	1.046450	36.7334471	1982-1999 –> 2000-2009	12.6196299	5.9445867	60431.64344	2.195582	10	19
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + aou	3833	6.6219155	25377.27169	1.036151	34.8571443	1982-1999 –> 2000-2009	12.6684676	6.0465521	60556.23915	2.133218	9	19
Atlantic	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	3579	5.9002545	22874.17972	17.892456	21.3707079	2000-2009 –> 2010-2019	10.8036892	4.9034347	45952.21122	38.833128	1	2
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	3579	5.9379753	22917.79576	15.165865	21.4129213	2000-2009 –> 2010-2019	10.8509671	4.9129918	46008.75421	31.110363	2	5
Atlantic	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	3579	5.9390342	22919.07209	16.699706	22.3922015	2000-2009 –> 2010-2019	10.8514448	4.9124106	46009.12367	34.725230	3	5
Atlantic	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	3579	5.9437802	22922.78993	2.296038	21.9999725	2000-2009 –> 2010-2019	10.8576264	4.9138462	46013.08148	4.601305	4	8
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	3579	6.3957150	23449.34889	16.593080	35.2689335	2000-2009 –> 2010-2019	11.5168386	5.1211237	46858.37587	34.816079	5	10
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	3579	6.4610662	23520.11793	2.191154	26.3638146	2000-2009 –> 2010-2019	11.5825406	5.1214745	46927.67003	4.436951	7	13
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	3579	6.4213378	23475.96838	2.665016	39.4442813	2000-2009 –> 2010-2019	11.6336191	5.2122812	47018.25223	4.982740	6	13
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	3579	6.9673324	24062.10377	15.628475	33.1736492	2000-2009 –> 2010-2019	13.4690933	6.5017609	49300.99851	33.450335	8	16
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + aou	3579	6.9733209	24066.25341	1.032992	32.9687405	2000-2009 –> 2010-2019	13.5952363	6.6219155	49443.52510	2.069142	9	18
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + aou	3579	7.3362069	24429.38149	1.081044	36.4335385	2000-2009 –> 2010-2019	14.0112502	6.6750432	49867.91225	2.127494	10	20
Atlantic	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	2432	6.8982476	16307.40172	35.128679	37.2650023	1982-1999 –> 2000-2009	12.8242200	5.9259723	37888.62441	73.165782	1	2
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	2432	6.9123201	16315.31421	16.658118	34.7993603	1982-1999 –> 2000-2009	12.8383135	5.9259934	37894.56090	45.853926	2	4
Atlantic	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	2432	6.9179092	16319.24548	24.705320	33.5689940	1982-1999 –> 2000-2009	12.8549845	5.9370754	37911.09204	62.635831	3	6
Atlantic	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	2432	6.9185337	16317.68455	4.560687	33.3569944	1982-1999 –> 2000-2009	12.8820034	5.9634698	37937.44641	9.338944	4	8
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	2432	7.2197123	16526.94569	23.045289	30.6142639	1982-1999 –> 2000-2009	13.1852214	5.9655091	38151.01337	43.417758	8	13
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	2432	7.3137847	16587.91398	1.485610	35.1264119	1982-1999 –> 2000-2009	13.2907942	5.9770095	38222.97031	3.028222	9	15
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	2432	7.1143598	16455.44556	21.466792	41.5792198	1982-1999 –> 2000-2009	13.3626409	6.2482811	38391.84143	41.784700	5	13
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + aou	2432	7.1143700	16453.45257	1.031959	41.6788143	1982-1999 –> 2000-2009	13.3679931	6.2536231	38393.61176	2.071596	6	15
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	2432	7.5152775	16720.10323	1.396447	40.2243591	1982-1999 –> 2000-2009	13.4950450	5.9797674	38358.27071	3.004481	10	17
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + aou	2432	7.1619555	16485.87782	1.025273	49.1071596	1982-1999 –> 2000-2009	13.5015340	6.3395785	38518.10129	2.083259	7	17
Atlantic	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	2443	8.3241429	17299.14982	35.282414	22.2186592	2000-2009 –> 2010-2019	15.2223906	6.8982476	33606.55154	70.411093	1	2
Atlantic	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	2443	8.3980492	17340.33896	34.335989	36.4943186	2000-2009 –> 2010-2019	15.3159584	6.9179092	33659.58444	59.041308	2	5
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	2443	8.4154334	17350.44264	23.812532	27.7722677	2000-2009 –> 2010-2019	15.3277535	6.9123201	33665.75685	40.470650	3	5
Atlantic	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	2443	8.4156152	17348.54818	6.367646	28.8413859	2000-2009 –> 2010-2019	15.3341488	6.9185337	33666.23273	10.928333	4	8
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	2443	8.4604689	17376.52053	19.490085	21.4075715	2000-2009 –> 2010-2019	15.5748287	7.1143598	33831.96610	40.956877	5	10
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + aou	2443	8.5056758	17400.55844	1.224768	21.5300025	2000-2009 –> 2010-2019	15.6200458	7.1143700	33854.01102	2.256727	7	13
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + aou	2443	8.4726897	17381.57307	1.228272	20.9528201	2000-2009 –> 2010-2019	15.6346452	7.1619555	33867.45088	2.253545	6	13
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	2443	8.8549006	17599.15820	20.241756	43.4043825	2000-2009 –> 2010-2019	16.0746129	7.2197123	34126.10389	43.287045	8	16
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	2443	9.0102747	17682.14781	2.054929	69.2922821	2000-2009 –> 2010-2019	16.3240594	7.3137847	34270.06178	3.540539	9	18
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	2443	9.4986655	17940.05899	1.970843	83.6173397	2000-2009 –> 2010-2019	17.0139430	7.5152775	34660.16222	3.367290	10	20
Atlantic	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	7870	7.6043124	54278.07455	31.725360	35.9507683	1982-1999 –> 2000-2009	12.9385143	5.3342019	115069.05349	70.943988	1	2
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	7870	7.6123469	54292.69616	12.298936	35.6071097	1982-1999 –> 2000-2009	12.9613805	5.3490336	115136.23603	33.485535	2	4
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	7870	7.7278454	54529.71810	11.255446	29.5946841	1982-1999 –> 2000-2009	13.3950522	5.6672068	116508.64400	18.216993	8	11
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	7870	8.0315142	55134.38480	1.237326	38.9475819	1982-1999 –> 2000-2009	13.8650087	5.8334945	117679.58563	2.498173	10	14
Atlantic	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	7870	7.6144440	54297.03182	22.240149	34.6448073	1982-1999 –> 2000-2009	13.9773329	6.3628889	118551.15513	61.412027	3	8
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	7870	7.6768529	54425.51285	10.607737	42.8112306	1982-1999 –> 2000-2009	14.3032315	6.6263787	119476.95360	17.567885	5	11
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	7870	7.8464668	54767.48951	1.306441	40.9771235	1982-1999 –> 2000-2009	14.5235885	6.6771217	119966.83145	2.444408	9	16
Atlantic	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	7870	7.6145189	54295.18660	5.638164	34.4610260	1982-1999 –> 2000-2009	14.8962735	7.2817546	121197.88558	11.020018	4	12
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + aou	7870	7.7145426	54500.59983	1.021403	50.2508435	1982-1999 –> 2000-2009	15.0239709	7.3094283	121477.83537	2.030179	7	16
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + aou	7870	7.6799643	54429.89095	1.019003	44.6097060	1982-1999 –> 2000-2009	15.0982901	7.4183258	121697.71742	2.022271	6	16
Atlantic	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	6186	9.6299312	45588.15438	42.787404	205.2765352	2000-2009 –> 2010-2019	17.2342435	7.6043124	99866.22892	74.512763	1	2
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	6186	9.6647709	45630.83376	27.356471	199.5062957	2000-2009 –> 2010-2019	17.2771178	7.6123469	99923.52992	39.655408	2	4
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	6186	9.6690147	45636.26513	7.483865	189.6923448	2000-2009 –> 2010-2019	17.3458676	7.6768529	100061.77798	18.091603	3	8
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + aou	6186	9.8134787	45817.74688	1.212546	152.3168205	2000-2009 –> 2010-2019	17.5280213	7.7145426	100318.34671	2.233949	4	11
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	6186	9.9119785	45943.30793	7.443361	239.7931357	2000-2009 –> 2010-2019	17.6398238	7.7278454	100473.02603	18.698807	5	13
Atlantic	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	6186	10.0276258	46086.82186	42.732855	113.6658637	2000-2009 –> 2010-2019	17.6420698	7.6144440	100383.85368	64.973004	7	10
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + aou	6186	10.0743299	46142.31111	1.150311	95.1338247	2000-2009 –> 2010-2019	17.7542941	7.6799643	100572.20206	2.169313	8	14
Atlantic	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	6186	10.2160641	46315.15792	10.221281	61.3366797	2000-2009 –> 2010-2019	17.8305830	7.6145189	100610.34453	15.859445	9	13
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	6186	9.9395292	45975.64868	1.632591	254.4811353	2000-2009 –> 2010-2019	17.9710434	8.0315142	101110.03348	2.869917	6	16
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	6186	10.2505817	46356.88940	1.555866	150.7453831	2000-2009 –> 2010-2019	18.0970485	7.8464668	101124.37891	2.862307	10	19
Atlantic	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	6329	7.6287530	43693.02291	67.189705	51.2698022	1982-1999 –> 2000-2009	12.0036330	4.3748801	95788.58195	213.981738	1	2
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	6329	8.0699556	44402.70108	17.246548	46.5089862	1982-1999 –> 2000-2009	12.5040326	4.4340771	96738.07941	69.767872	5	8
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	6329	8.0594666	44386.23809	21.062026	28.5406951	1982-1999 –> 2000-2009	12.7679937	4.7085270	97802.13751	26.645053	3	7
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	6329	9.0035142	45788.33424	28.895977	22.5317623	1982-1999 –> 2000-2009	13.4000261	4.3965119	97970.63652	34.847952	8	10
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	6329	9.1262297	45957.69423	1.261249	21.5523390	1982-1999 –> 2000-2009	13.8486505	4.7224208	99424.60569	2.701977	10	15
Atlantic	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	6329	7.7861200	43949.47730	31.131180	48.4296109	1982-1999 –> 2000-2009	13.8539592	6.0678392	101928.64153	126.942841	2	9
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + aou	6329	8.1045526	44454.85167	1.017378	37.6938679	1982-1999 –> 2000-2009	13.9951181	5.8905655	101898.54290	2.065855	6	12
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + aou	6329	8.0621109	44388.39035	1.066034	28.2519944	1982-1999 –> 2000-2009	14.1981409	6.1360300	102566.62224	2.141888	4	13
Atlantic	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	6329	8.7116396	45369.19051	5.779488	30.5953724	1982-1999 –> 2000-2009	14.8433631	6.1317234	103534.79020	12.395017	7	15
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	6329	9.1210712	45950.53742	1.533676	21.4789294	1982-1999 –> 2000-2009	15.6997225	6.5786513	105381.94449	3.114958	9	19
Atlantic	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	4623	7.8740436	32211.28987	55.702669	81.3322841	2000-2009 –> 2010-2019	15.5027965	7.6287530	75904.31278	122.892373	1	2
Atlantic	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	4623	8.3090661	32706.49812	37.848916	63.4958694	2000-2009 –> 2010-2019	16.0951861	7.7861200	76655.97542	68.980095	2	4
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	4623	9.0047059	33449.87742	20.079772	56.6553412	2000-2009 –> 2010-2019	17.0746615	8.0699556	77852.57850	37.326320	3	8
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	4623	9.3079762	33756.14531	11.745939	39.5135547	2000-2009 –> 2010-2019	17.3674428	8.0594666	78142.38340	32.807965	4	7
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + aou	4623	9.3099207	33756.07662	1.230724	39.9642532	2000-2009 –> 2010-2019	17.3720315	8.0621109	78144.46697	2.296758	5	9
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + aou	4623	9.3316829	33777.66426	1.077121	37.6957932	2000-2009 –> 2010-2019	17.4362355	8.1045526	78232.51593	2.094498	6	12
Atlantic	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	4623	9.6673540	34104.41107	9.421637	63.0867170	2000-2009 –> 2010-2019	18.3789936	8.7116396	79473.60158	15.201125	7	14
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	4623	10.4956176	34866.46150	16.076270	32.2063356	2000-2009 –> 2010-2019	19.4991318	9.0035142	80654.79574	44.972247	8	16
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	4623	10.5213437	34887.09690	1.787988	36.2915011	2000-2009 –> 2010-2019	19.6424149	9.1210712	80837.63432	3.321664	9	18
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	4623	10.5270352	34892.09714	1.302111	32.8129820	2000-2009 –> 2010-2019	19.6532649	9.1262297	80849.79137	2.563361	10	20
Atlantic	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	2657	2.9438012	13289.77410	67.185463	20.9935645	1982-1999 –> 2000-2009	4.8107658	1.8669645	30612.20848	133.828850	1	2
Atlantic	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	2657	3.0080833	13402.56411	29.032242	22.3406709	1982-1999 –> 2000-2009	4.8866648	1.8785815	30775.55108	70.362349	2	5
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	2657	3.0348643	13449.66526	18.702680	21.2916902	1982-1999 –> 2000-2009	4.9019962	1.8671319	30770.85886	43.393825	3	5
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	2657	3.5336360	14258.24701	34.364886	28.9392959	1982-1999 –> 2000-2009	5.4631555	1.9295195	31857.89439	72.206208	4	9
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	2657	3.7770652	14610.26538	3.607021	30.1721130	1982-1999 –> 2000-2009	5.7710923	1.9940271	32486.51632	7.463169	5	12
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	2657	4.0976089	15043.12417	2.615672	35.4155775	1982-1999 –> 2000-2009	6.0698580	1.9722491	32826.33842	5.661417	6	12
Atlantic	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	2657	4.5269594	15572.64774	3.338404	43.5289255	1982-1999 –> 2000-2009	6.4467204	1.9197610	33127.33929	5.940942	7	11
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	2657	4.7776207	15861.03071	44.379161	46.5824041	1982-1999 –> 2000-2009	6.9386923	2.1610716	34420.83688	86.154890	8	16
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + aou	2657	5.1874816	16296.40307	1.155387	49.5969624	1982-1999 –> 2000-2009	7.3891035	2.2016219	35011.70444	2.269421	9	18
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + aou	2657	5.2998334	16410.26641	1.340152	49.4253363	1982-1999 –> 2000-2009	7.6409380	2.3411046	35645.99059	2.551872	10	20
Atlantic	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	2675	2.3805160	12243.46854	53.299272	31.9283653	2000-2009 –> 2010-2019	5.3243172	2.9438012	25533.24264	120.484735	1	2
Atlantic	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	2675	2.3952033	12274.37558	39.235140	31.9215323	2000-2009 –> 2010-2019	5.4032867	3.0080833	25676.93968	68.267382	2	4
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	2675	2.4502534	12395.94531	21.643851	35.2222365	2000-2009 –> 2010-2019	5.4851177	3.0348643	25845.61057	40.346531	3	6
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	2675	2.5691792	12649.50883	26.173590	39.9380556	2000-2009 –> 2010-2019	6.1028152	3.5336360	26907.75584	60.538476	4	8
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	2675	2.5901280	12690.95528	5.070791	40.2924757	2000-2009 –> 2010-2019	6.3671933	3.7770652	27301.22066	8.677812	5	10
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	2675	2.7345011	12981.14833	3.663311	44.6916044	2000-2009 –> 2010-2019	6.8321100	4.0976089	28024.27250	6.278983	6	12
Atlantic	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	2675	2.9633826	13411.19415	4.995259	53.0778589	2000-2009 –> 2010-2019	7.4903421	4.5269594	28983.84189	8.333663	7	14
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	2675	3.0629754	13590.04053	32.454573	54.7118616	2000-2009 –> 2010-2019	7.8405961	4.7776207	29451.07124	76.833734	8	16
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + aou	2675	3.2233499	13861.07431	1.479062	57.7260729	2000-2009 –> 2010-2019	8.4108315	5.1874816	30157.47738	2.634449	9	18
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + aou	2675	3.2739315	13944.37594	1.861247	57.1535456	2000-2009 –> 2010-2019	8.5737649	5.2998334	30354.64235	3.201399	10	20
Atlantic	(28.1,28.15]	4	cstar_tref ~ sal + temp + aou + nitrate	2691	1.3790503	9378.47548	43.441995	7.6235753	1982-1999 –> 2000-2009	2.6965040	1.3174537	24086.38829	100.646924	1	2
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + aou + nitrate	2691	1.3823273	9389.24940	11.536342	7.5734516	1982-1999 –> 2000-2009	2.7001650	1.3178377	24097.68931	46.306951	2	4
Atlantic	(28.1,28.15]	3	cstar_tref ~ temp + aou + nitrate	2691	1.8676266	11008.69264	11.100217	10.7571992	1982-1999 –> 2000-2009	3.3029576	1.4353310	26457.74950	40.271427	3	6
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + nitrate	2691	2.9551233	13478.34145	42.249731	19.0470543	1982-1999 –> 2000-2009	4.6934471	1.7383238	30588.31018	94.965431	4	9
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + nitrate	2691	3.1183587	13765.71238	2.280756	16.9026016	1982-1999 –> 2000-2009	4.8789201	1.7605614	30983.91464	6.505748	5	12
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + nitrate	2691	3.4173042	14258.40865	1.769861	18.4774768	1982-1999 –> 2000-2009	5.1753300	1.7580258	31464.11209	5.298211	6	12
Atlantic	(28.1,28.15]	2	cstar_tref ~ aou + nitrate	2691	4.4765430	15711.54379	3.007935	29.5846759	1982-1999 –> 2000-2009	6.1315905	1.6550475	32393.79006	5.486601	7	11
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + aou	2691	6.0581776	17341.91054	41.598072	40.3080211	1982-1999 –> 2000-2009	8.3006527	2.2424752	36660.28133	88.880753	8	16
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + aou	2691	6.0583452	17340.05949	1.050546	40.3594977	1982-1999 –> 2000-2009	8.3101456	2.2518004	36692.41769	2.202308	9	18
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + aou	2691	6.0663793	17347.19192	1.138178	40.6314029	1982-1999 –> 2000-2009	8.3232417	2.2568624	36719.02269	2.337186	10	20
Atlantic	(28.1,28.15]	4	cstar_tref ~ sal + temp + aou + nitrate	2931	1.4225613	10395.93231	42.313172	14.6381469	2000-2009 –> 2010-2019	2.8016116	1.3790503	19774.40778	85.755167	1	2
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + aou + nitrate	2931	1.4225766	10393.99533	25.524789	14.6433263	2000-2009 –> 2010-2019	2.8049039	1.3823273	19783.24473	37.061131	2	4
Atlantic	(28.1,28.15]	3	cstar_tref ~ temp + aou + nitrate	2931	1.6528785	11273.57988	23.520039	22.6153625	2000-2009 –> 2010-2019	3.5205050	1.8676266	22282.27252	34.620257	3	6
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + nitrate	2931	1.7185016	11501.81360	42.265266	25.8768699	2000-2009 –> 2010-2019	4.6736248	2.9551233	24980.15504	84.514996	4	8
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + nitrate	2931	1.7650694	11656.54767	6.505467	27.5294567	2000-2009 –> 2010-2019	4.8834281	3.1183587	25422.26006	8.786223	5	10
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + nitrate	2931	1.9282373	12174.84355	4.197934	34.5141830	2000-2009 –> 2010-2019	5.3455415	3.4173042	26433.25219	5.967795	6	12
Atlantic	(28.1,28.15]	2	cstar_tref ~ aou + nitrate	2931	2.1830475	12902.40920	4.365208	47.5000992	2000-2009 –> 2010-2019	6.6595905	4.4765430	28613.95300	7.373143	7	14
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + aou	2931	2.5453395	13804.47347	37.966302	55.3501644	2000-2009 –> 2010-2019	8.6035171	6.0581776	31146.38402	79.564373	8	16
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + aou	2931	2.5513005	13816.18573	1.564866	55.6905348	2000-2009 –> 2010-2019	8.6096457	6.0583452	31156.24522	2.615412	9	18
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + aou	2931	2.5679309	13854.27276	1.894604	55.8441077	2000-2009 –> 2010-2019	8.6343102	6.0663793	31201.46467	3.032782	10	20
Atlantic	(28.15,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	1875	0.6120562	3492.02736	35.520663	4.2065885	1982-1999 –> 2000-2009	1.1868785	0.5748223	7283.41402	56.656305	1	2
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + aou + nitrate	1875	0.6220346	3550.67117	29.269051	4.3265336	1982-1999 –> 2000-2009	1.2006537	0.5786191	7368.81408	40.686165	2	4
Atlantic	(28.15,28.2]	3	cstar_tref ~ temp + aou + nitrate	1875	0.7977666	4483.74760	10.085090	4.6532314	1982-1999 –> 2000-2009	1.4705513	0.6727846	8960.50162	15.679393	3	6
Atlantic	(28.15,28.2]	2	cstar_tref ~ aou + nitrate	1875	0.9251518	5037.27889	2.940899	5.8524722	1982-1999 –> 2000-2009	1.6885862	0.7634345	10064.15701	4.531741	4	8
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + nitrate	1875	0.9955706	5314.37243	11.453030	7.1775318	1982-1999 –> 2000-2009	1.8844888	0.8889182	11007.96371	21.164695	5	10
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + nitrate	1875	0.9987356	5324.27495	1.362179	6.9415283	1982-1999 –> 2000-2009	1.8939937	0.8952582	11046.90913	2.405432	6	12
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + nitrate	1875	1.0019686	5336.39451	1.026946	7.0435370	1982-1999 –> 2000-2009	1.9176257	0.9156571	11157.43891	2.056339	7	14
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + aou	1875	2.5138084	8787.76532	7.547952	20.4032435	1982-1999 –> 2000-2009	4.1724290	1.6586206	17205.83698	17.729771	8	16
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + aou	1875	2.7071006	9063.56259	1.002061	18.7445976	1982-1999 –> 2000-2009	4.4019200	1.6948194	17573.93901	2.553070	9	18
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + aou	1875	4.0312634	10556.81884	1.142084	19.7303950	1982-1999 –> 2000-2009	6.0270636	1.9958002	19781.22730	2.594420	10	20
Atlantic	(28.15,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	1484	0.7151470	3228.33659	15.216992	3.3899798	2000-2009 –> 2010-2019	1.3272031	0.6120562	6720.36394	50.737655	1	2
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + aou + nitrate	1484	0.7152082	3226.59069	10.327095	3.4043915	2000-2009 –> 2010-2019	1.3372428	0.6220346	6777.26186	39.596147	2	4
Atlantic	(28.15,28.2]	3	cstar_tref ~ temp + aou + nitrate	1484	0.8310690	3672.20368	5.677037	3.5898438	2000-2009 –> 2010-2019	1.6288357	0.7977666	8155.95128	15.762127	3	6
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + nitrate	1484	0.8485472	3733.97615	9.115742	4.5713834	2000-2009 –> 2010-2019	1.8441178	0.9955706	9048.34858	20.568772	4	9
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + nitrate	1484	0.8537996	3750.29125	1.191497	4.6576687	2000-2009 –> 2010-2019	1.8525352	0.9987356	9074.56621	2.553676	5	11
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + nitrate	1484	0.8660724	3792.65046	1.044722	4.2389870	2000-2009 –> 2010-2019	1.8680410	1.0019686	9129.04497	2.071668	6	13
Atlantic	(28.15,28.2]	2	cstar_tref ~ aou + nitrate	1484	1.0461599	4353.34411	2.249552	5.7614373	2000-2009 –> 2010-2019	1.9713116	0.9251518	9390.62300	5.190451	7	11
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + aou	1484	1.9536605	6209.09344	7.380302	15.0244916	2000-2009 –> 2010-2019	4.4674689	2.5138084	14996.85876	14.928253	8	16
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + aou	1484	2.0561661	6358.87204	1.056749	17.4940432	2000-2009 –> 2010-2019	4.7632667	2.7071006	15422.43462	2.058810	9	18
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + aou	1484	2.3935735	6809.84270	1.142022	24.0258921	2000-2009 –> 2010-2019	6.4248369	4.0312634	17366.66153	2.284106	10	20
Atlantic	(28.2, Inf]	4	cstar_tref ~ sal + temp + aou + nitrate	3027	0.8657807	7729.72943	122.993267	6.8922132	1982-1999 –> 2000-2009	1.3143308	0.4485501	11706.64501	202.978668	1	2
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + nitrate	3027	1.1085493	9224.13225	3.314655	8.4951488	1982-1999 –> 2000-2009	1.6235934	0.5150441	14087.05131	5.850495	2	5
Atlantic	(28.2, Inf]	3	cstar_tref ~ temp + aou + nitrate	3027	1.1694845	9548.08641	4.176443	8.9718001	1982-1999 –> 2000-2009	1.6538308	0.4843463	14016.23621	7.130428	3	5
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + nitrate	3027	1.1878834	9640.58938	1.001419	9.1277389	1982-1999 –> 2000-2009	1.7570408	0.5691575	15143.29642	2.001421	4	8
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + aou + nitrate	3027	1.4214140	10729.15621	73.057881	10.8424250	1982-1999 –> 2000-2009	2.0389857	0.6175716	16758.30484	93.822120	5	10
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + nitrate	3027	1.4214425	10727.27721	2.831983	10.8445247	1982-1999 –> 2000-2009	2.0655160	0.6440736	17024.34870	4.343465	6	12
Atlantic	(28.2, Inf]	2	cstar_tref ~ aou + nitrate	3027	1.4220461	10729.84753	4.077727	10.8594994	1982-1999 –> 2000-2009	2.1831600	0.7611139	18099.53511	6.795174	7	14
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + aou	3027	1.8919459	12460.31979	1.343863	14.1272072	1982-1999 –> 2000-2009	2.8546104	0.9626645	21341.14586	2.774344	8	16
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + aou	3027	1.8933125	12462.69118	1.219448	14.4840406	1982-1999 –> 2000-2009	3.0304857	1.1371732	22411.72895	2.219869	9	18
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + aou	3027	5.0732654	18429.85705	1.001885	34.3654930	1982-1999 –> 2000-2009	8.6567417	3.5834763	35752.28374	2.031839	10	20
Atlantic	(28.2, Inf]	4	cstar_tref ~ sal + temp + aou + nitrate	1525	0.2733717	384.14780	39.357615	3.6049010	2000-2009 –> 2010-2019	1.1391524	0.8657807	8113.87723	162.350882	1	2
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + nitrate	1525	0.2778437	431.63760	1.938000	3.4465566	2000-2009 –> 2010-2019	1.3863930	1.1085493	9655.76986	5.252655	4	6
Atlantic	(28.2, Inf]	3	cstar_tref ~ temp + aou + nitrate	1525	0.2745928	395.74163	3.356635	3.5597216	2000-2009 –> 2010-2019	1.4440773	1.1694845	9943.82804	7.533078	2	5
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + nitrate	1525	0.2868635	527.07858	1.085674	3.5144241	2000-2009 –> 2010-2019	1.4747468	1.1878834	10167.66795	2.087093	5	9
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + aou + nitrate	1525	0.2776693	429.72303	13.703646	3.6160989	2000-2009 –> 2010-2019	1.6990834	1.4214140	11158.87924	86.761527	3	8
Atlantic	(28.2, Inf]	2	cstar_tref ~ aou + nitrate	1525	0.3154832	817.13091	3.040309	3.7080420	2000-2009 –> 2010-2019	1.7375293	1.4220461	11546.97844	7.118036	6	13
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + nitrate	1525	0.3189382	850.35061	1.221534	4.1018303	2000-2009 –> 2010-2019	1.7403806	1.4214425	11577.62782	4.053517	7	13
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + aou	1525	0.8080057	3687.54475	1.839337	7.4630683	2000-2009 –> 2010-2019	2.6999516	1.8919459	16147.86454	3.183200	8	16
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + aou	1525	1.2531521	5024.03174	1.009092	13.7396643	2000-2009 –> 2010-2019	3.1464646	1.8933125	17486.72292	2.228540	9	18
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + aou	1525	2.7023328	7367.81445	1.017141	34.8928626	2000-2009 –> 2010-2019	7.7755981	5.0732654	25797.67150	2.019026	10	20
Indo-Pacific	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	4291	10.1813494	32104.35541	34.338228	45.0609885	1982-1999 –> 2000-2009	20.1478566	9.9665072	55310.29193	77.971591	1	2
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	4291	11.8633161	33414.48659	33.171094	60.6415954	1982-1999 –> 2000-2009	22.8345709	10.9712548	57217.57339	75.789171	2	4
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	4291	14.9624817	35406.32494	26.456518	55.3106128	1982-1999 –> 2000-2009	28.6430468	13.6805651	60586.12317	65.225127	4	7
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ aou + nitrate	4291	14.9638656	35405.11866	15.788353	55.7478781	1982-1999 –> 2000-2009	29.0450684	14.0812028	60762.97398	39.751233	5	9
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	4291	14.5137309	35144.99715	2.760825	58.2599214	1982-1999 –> 2000-2009	30.4431868	15.9294559	61274.17999	6.324268	3	8
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	4291	15.2556358	35572.84276	3.025394	68.7697068	1982-1999 –> 2000-2009	32.2381132	16.9824774	62101.33311	6.753197	6	13
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + aou	4291	16.0471189	36004.92314	1.014133	64.5190811	1982-1999 –> 2000-2009	32.9125510	16.8654322	62488.27160	2.014581	8	14
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ temp + aou	4291	16.6384071	36315.45752	1.150224	55.8490938	1982-1999 –> 2000-2009	33.8653332	17.2269261	62931.09859	2.197264	9	17
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + temp	4291	15.7249136	35830.85433	2.284562	82.0053244	1982-1999 –> 2000-2009	33.9550554	18.2301418	62799.58326	5.285797	7	17
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + nitrate	4291	16.8074222	36402.19476	1.080498	65.6276490	1982-1999 –> 2000-2009	34.7965597	17.9891375	63287.90675	2.091756	10	19
Indo-Pacific	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	5555	9.8671532	41209.54554	35.855122	57.2247699	2000-2009 –> 2010-2019	20.0485025	10.1813494	73313.90095	70.193350	1	2
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	5555	11.3917133	42803.77266	35.522328	70.3687302	2000-2009 –> 2010-2019	23.2550294	11.8633161	76218.25926	68.693422	2	4
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	5555	14.9329343	45811.06011	2.684609	96.4145888	2000-2009 –> 2010-2019	29.4466652	14.5137309	80956.05726	5.445434	5	8
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	5555	14.8102612	45719.41524	26.809362	100.6542594	2000-2009 –> 2010-2019	29.7727429	14.9624817	81125.74018	53.265880	3	7
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ aou + nitrate	5555	14.8483840	45745.97651	18.216793	108.4281828	2000-2009 –> 2010-2019	29.8122495	14.9638656	81151.09517	34.005146	4	9
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	5555	15.5046702	46228.48675	3.021041	89.1204261	2000-2009 –> 2010-2019	30.7603060	15.2556358	81801.32952	6.046436	6	12
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + temp	5555	15.6756150	46348.30832	1.981977	86.9432047	2000-2009 –> 2010-2019	31.4005286	15.7249136	82179.16265	4.266539	7	14
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + aou	5555	16.1927370	46708.89988	1.003262	118.0600290	2000-2009 –> 2010-2019	32.2398558	16.0471189	82713.82302	2.017396	8	16
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ temp + aou	5555	16.4101775	46857.09522	1.193829	81.9829298	2000-2009 –> 2010-2019	33.0485846	16.6384071	83172.55274	2.344053	9	18
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + nitrate	5555	16.9497861	47216.54250	1.036584	118.1466983	2000-2009 –> 2010-2019	33.7572082	16.8074222	83618.73726	2.117082	10	20
Indo-Pacific	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	3503	8.8377586	25219.39059	25.888819	34.7486943	1982-1999 –> 2000-2009	17.1825398	8.3447813	50270.33613	46.610273	1	2
Indo-Pacific	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	3503	10.7307511	26577.11694	25.851170	44.4740615	1982-1999 –> 2000-2009	19.7039643	8.9732132	52139.54259	46.501991	2	4
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	3503	11.8519586	27273.37031	23.142110	59.1572181	1982-1999 –> 2000-2009	21.5915904	9.7396317	53415.41339	42.235703	3	6
Indo-Pacific	(26,26.5]	2	cstar_tref ~ aou + nitrate	3503	11.9760930	27344.36775	11.517566	62.4347829	1982-1999 –> 2000-2009	22.4049813	10.4288883	53967.96851	24.346003	4	8
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + aou	3503	16.6788664	29666.96526	10.473087	65.5333147	1982-1999 –> 2000-2009	34.7587579	18.0798915	60183.72665	21.473356	5	10
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + aou	3503	17.0379289	29814.18983	1.196448	62.6758130	1982-1999 –> 2000-2009	35.1261538	18.0882249	60332.21012	2.196462	6	12
Indo-Pacific	(26,26.5]	2	cstar_tref ~ temp + aou	3503	17.9484983	30178.95354	1.215931	66.2592041	1982-1999 –> 2000-2009	36.1826207	18.2341225	60753.78697	2.219262	7	14
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	3503	18.1336079	30252.83901	10.757871	82.8163535	1982-1999 –> 2000-2009	38.8543115	20.7207036	61733.74754	22.042257	8	16
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + nitrate	3503	18.4712254	30380.07962	1.502056	80.7083907	1982-1999 –> 2000-2009	39.2006405	20.7294151	61861.96077	2.529530	9	18
Indo-Pacific	(26,26.5]	2	cstar_tref ~ temp + nitrate	3503	19.3005417	30687.77631	1.567432	84.2711715	1982-1999 –> 2000-2009	40.2297251	20.9291833	62237.48364	2.621700	11	21
Indo-Pacific	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	3222	10.5632501	24346.60308	21.211552	41.0144312	2000-2009 –> 2010-2019	19.4010086	8.8377586	49565.99367	47.100371	1	2
Indo-Pacific	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	3222	12.3610370	25357.39590	21.207455	56.5579390	2000-2009 –> 2010-2019	23.0917881	10.7307511	51934.51283	47.058624	2	4
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	3222	13.3054049	25831.80955	18.582099	72.9363949	2000-2009 –> 2010-2019	25.1573635	11.8519586	53105.17986	41.724210	3	6
Indo-Pacific	(26,26.5]	2	cstar_tref ~ aou + nitrate	3222	13.3975026	25874.26012	9.991879	75.8271764	2000-2009 –> 2010-2019	25.3735956	11.9760930	53218.62787	21.509445	4	8
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + aou	3222	18.2636657	27872.90318	8.622955	72.4490898	2000-2009 –> 2010-2019	34.9425321	16.6788664	57539.86845	19.096042	5	10
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + aou	3222	18.5147982	27958.90702	1.002244	70.5369363	2000-2009 –> 2010-2019	35.5527271	17.0379289	57773.09685	2.198692	6	12
Indo-Pacific	(26,26.5]	2	cstar_tref ~ temp + aou	3222	19.2916065	28223.75406	1.012700	71.2316591	2000-2009 –> 2010-2019	37.2401047	17.9484983	58402.70760	2.228631	8	15
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	3222	19.1889172	28191.36101	8.959010	86.6207737	2000-2009 –> 2010-2019	37.3225251	18.1336079	58444.20003	19.716881	7	15
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + nitrate	3222	19.4961503	28291.71842	1.072350	84.2588289	2000-2009 –> 2010-2019	37.9673757	18.4712254	58671.79804	2.574406	10	19
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + temp	3222	19.4066048	28262.05305	8.295277	90.9574487	2000-2009 –> 2010-2019	38.1863944	18.7797896	58758.20198	18.597612	9	19
Indo-Pacific	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	3262	8.6866516	23372.65695	31.926504	36.5417024	1982-1999 –> 2000-2009	16.8601052	8.1734536	45461.03116	59.673624	1	2
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	3262	9.7879562	24149.39502	21.331875	43.9136008	1982-1999 –> 2000-2009	18.3686787	8.5807225	46540.75514	36.651657	2	4
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	3262	9.9162412	24234.34578	19.741524	49.4520367	1982-1999 –> 2000-2009	18.7912103	8.8749691	46837.17727	34.024469	3	6
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ aou + nitrate	3262	9.9212698	24235.65332	10.718749	50.2210548	1982-1999 –> 2000-2009	19.3133035	9.3920337	47191.64932	20.195388	4	8
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	3262	15.6899640	27227.86577	29.901967	68.3536731	1982-1999 –> 2000-2009	33.7991899	18.1092260	54303.80408	55.147970	5	10
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + aou	3262	15.7246948	27240.29115	1.244194	67.1410612	1982-1999 –> 2000-2009	33.8958352	18.1711404	54335.63650	2.249945	6	13
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ temp + aou	3262	16.0167915	27360.36697	1.217079	66.5086051	1982-1999 –> 2000-2009	34.1260461	18.1092546	54434.31521	2.221381	7	13
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	3262	16.7116000	27639.41155	29.601547	79.6189865	1982-1999 –> 2000-2009	36.9064207	20.1948207	55399.02697	54.805485	8	16
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	3262	16.7202883	27640.80245	1.583320	78.9001201	1982-1999 –> 2000-2009	37.0386847	20.3183964	55436.68042	2.655475	9	19
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ temp + nitrate	3262	16.9003478	27710.68332	1.555032	77.3058463	1982-1999 –> 2000-2009	37.1017778	20.2014300	55470.35107	2.628786	11	20
Indo-Pacific	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	2648	11.6621601	20535.52499	22.745220	42.4897799	2000-2009 –> 2010-2019	20.3488117	8.6866516	43908.18194	54.671724	1	2
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	2648	12.1641737	20756.72825	11.913745	43.9770070	2000-2009 –> 2010-2019	21.9521299	9.7879562	44906.12327	33.245620	2	4
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	2648	12.2200782	20781.01204	11.036744	43.5773506	2000-2009 –> 2010-2019	22.1363195	9.9162412	45015.35782	30.778269	3	6
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ aou + nitrate	2648	12.2220750	20779.87734	7.337109	43.4560828	2000-2009 –> 2010-2019	22.1433449	9.9212698	45015.53067	18.055858	4	8
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	2648	18.6012754	23006.12535	20.609012	68.1563595	2000-2009 –> 2010-2019	34.2912394	15.6899640	50233.99112	50.510979	5	10
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + aou	2648	18.6198193	23009.40238	1.000002	69.1935746	2000-2009 –> 2010-2019	34.3445142	15.7246948	50249.69353	2.244196	6	12
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ temp + aou	2648	18.6485918	23017.57976	1.000175	66.6663127	2000-2009 –> 2010-2019	34.6653833	16.0167915	50377.94673	2.217254	7	14
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	2648	19.4109914	23231.78431	20.992115	78.3834975	2000-2009 –> 2010-2019	36.1225914	16.7116000	50871.19586	50.593662	8	16
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	2648	19.4230601	23233.07606	1.048538	79.1991865	2000-2009 –> 2010-2019	36.1433484	16.7202883	50873.87851	2.631859	9	18
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + temp	2648	19.4424353	23238.35638	20.550399	78.7936613	2000-2009 –> 2010-2019	36.3391383	16.8967030	50947.63256	49.621747	10	20
Indo-Pacific	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	4020	8.6418878	28759.49907	24.506449	31.8233895	1982-1999 –> 2000-2009	17.2982337	8.6563460	56909.99986	56.113955	1	2
Indo-Pacific	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	4020	9.1557564	29221.90352	17.423850	32.2769174	1982-1999 –> 2000-2009	17.9424668	8.7867103	57487.98295	30.627619	2	4
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	4020	9.2928319	29341.38224	14.378101	29.9945506	1982-1999 –> 2000-2009	18.3593575	9.0665256	57854.05082	25.929276	3	6
Indo-Pacific	(26.75,27]	2	cstar_tref ~ aou + nitrate	4020	9.3330537	29374.10636	9.370838	29.0353431	1982-1999 –> 2000-2009	19.5155934	10.1825397	58797.90216	16.657221	4	8
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + aou	4020	13.2430114	32189.36436	17.424376	69.2876313	1982-1999 –> 2000-2009	29.2719671	16.0289558	65184.14027	42.242782	5	10
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + aou	4020	13.2649939	32200.69917	1.087485	70.1178235	1982-1999 –> 2000-2009	29.5734856	16.3084917	65329.47124	2.087544	6	12
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + aou	4020	13.4490861	32311.51148	1.070922	72.4701265	1982-1999 –> 2000-2009	29.9796234	16.5305373	65546.65926	2.072868	7	14
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	4020	13.7255158	32477.08859	18.672589	76.3312500	1982-1999 –> 2000-2009	31.4668395	17.7413237	66270.26168	45.623751	8	16
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + nitrate	4020	13.7409707	32484.13654	1.301058	76.9977241	1982-1999 –> 2000-2009	31.6321435	17.8911728	66341.46945	2.370678	9	18
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + nitrate	4020	13.8771725	32563.43742	1.226210	78.7848297	1982-1999 –> 2000-2009	31.9637531	18.0865806	66506.21719	2.261228	11	21
Indo-Pacific	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	3855	10.7979022	29296.81902	19.114919	30.9141888	2000-2009 –> 2010-2019	19.4397900	8.6418878	58056.31809	43.621368	1	2
Indo-Pacific	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	3855	11.1776768	29561.32886	10.104613	28.9826786	2000-2009 –> 2010-2019	20.3334333	9.1557564	58783.23239	27.528463	2	4
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	3855	11.2743677	29627.73630	8.340254	30.2605526	2000-2009 –> 2010-2019	20.5671996	9.2928319	58969.11854	22.718355	3	6
Indo-Pacific	(26.75,27]	2	cstar_tref ~ aou + nitrate	3855	11.2945858	29639.55009	5.832628	30.8078389	2000-2009 –> 2010-2019	20.6276395	9.3330537	59013.65645	15.203466	4	8
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + aou	3855	15.0799879	31870.08769	13.629745	81.4821367	2000-2009 –> 2010-2019	28.3229993	13.2430114	64059.45205	31.054121	5	10
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + aou	3855	15.1232108	31890.15482	1.000899	80.4876657	2000-2009 –> 2010-2019	28.3882047	13.2649939	64090.85399	2.088384	6	12
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + aou	3855	15.3541685	32007.00987	1.006198	79.0278376	2000-2009 –> 2010-2019	28.8032546	13.4490861	64318.52134	2.077120	7	14
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	3855	15.3687181	32016.31241	14.926832	85.8401234	2000-2009 –> 2010-2019	29.0942339	13.7255158	64493.40100	33.599421	8	16
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + nitrate	3855	15.3753646	32017.64600	1.062111	85.2389042	2000-2009 –> 2010-2019	29.1163353	13.7409707	64501.78254	2.363168	9	18
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + temp	3855	15.3755332	32017.73055	13.185955	86.1695664	2000-2009 –> 2010-2019	29.1406130	13.7650798	64515.96124	30.243529	10	20
Indo-Pacific	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	5165	5.9086271	33019.98650	31.240097	22.0720265	1982-1999 –> 2000-2009	11.7375334	5.8289063	65021.48118	47.674599	1	2
Indo-Pacific	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	5165	6.0662540	33289.95244	26.890334	23.5322246	1982-1999 –> 2000-2009	12.1554951	6.0892411	65728.74728	37.509681	2	4
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	5165	6.8176629	34496.24283	18.537179	28.7211203	1982-1999 –> 2000-2009	13.9974810	7.1798181	68591.44019	27.802506	3	6
Indo-Pacific	(27,27.25]	2	cstar_tref ~ aou + nitrate	5165	7.7095967	35764.30761	12.957111	33.6888760	1982-1999 –> 2000-2009	17.7922489	10.0826522	73271.26310	19.596448	4	8
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + aou	5165	11.0354878	39471.16581	5.870487	85.2574528	1982-1999 –> 2000-2009	27.5273688	16.4918811	81927.21073	18.311783	5	10
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + aou	5165	11.2660884	39682.79996	1.000824	84.5030471	1982-1999 –> 2000-2009	28.2167769	16.9506885	82412.72915	2.022320	6	12
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + aou	5165	11.5183501	39911.55001	1.000001	85.2216119	1982-1999 –> 2000-2009	28.5656726	17.0473224	82698.63314	2.048091	7	14
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	5165	11.6940919	40069.97016	6.134287	93.3218055	1982-1999 –> 2000-2009	30.3456697	18.6515779	83763.28590	19.511613	8	16
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + nitrate	5165	11.9313278	40275.43563	1.054562	92.2654171	1982-1999 –> 2000-2009	30.8111397	18.8798119	84089.03266	2.064486	9	18
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + nitrate	5165	12.2299026	40530.75664	1.023508	92.8053774	1982-1999 –> 2000-2009	31.2693182	19.0394156	84428.98960	2.023576	11	21
Indo-Pacific	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	4817	6.7826947	32125.13749	18.925325	23.7515585	2000-2009 –> 2010-2019	12.6913218	5.9086271	65145.12400	50.165422	1	2
Indo-Pacific	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	4817	7.0524640	32498.88836	15.616037	22.3199043	2000-2009 –> 2010-2019	13.1187179	6.0662540	65788.84080	42.506371	2	4
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	4817	7.7629252	33423.58053	10.986976	23.7416721	2000-2009 –> 2010-2019	14.5805880	6.8176629	67919.82336	29.524155	3	6
Indo-Pacific	(27,27.25]	2	cstar_tref ~ aou + nitrate	4817	8.5280977	34327.24494	7.958695	33.4872070	2000-2009 –> 2010-2019	16.2376944	7.7095967	70091.55256	20.915806	4	8
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + aou	4817	12.3911595	37928.67072	6.436286	96.2548869	2000-2009 –> 2010-2019	23.4266473	11.0354878	77399.83654	12.306773	5	10
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + aou	4817	12.6707208	38141.61112	1.000324	95.7799497	2000-2009 –> 2010-2019	23.9368092	11.2660884	77824.41108	2.001148	6	12
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + aou	4817	12.9781075	38372.53823	1.007531	96.2160674	2000-2009 –> 2010-2019	24.4964576	11.5183501	78284.08824	2.007531	8	15
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	4817	12.9469774	38351.40173	7.057587	103.1762804	2000-2009 –> 2010-2019	24.6410692	11.6940919	78421.37189	13.191875	7	15
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + nitrate	4817	13.1436221	38494.62735	1.056554	101.6073687	2000-2009 –> 2010-2019	25.0749499	11.9313278	78770.06298	2.111116	10	19
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + temp	4817	13.0121645	38397.78657	6.239597	101.8748008	2000-2009 –> 2010-2019	25.1396285	12.1274640	78841.65393	12.080200	9	19
Indo-Pacific	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	6886	3.7202370	37647.10111	42.433782	15.2224873	1982-1999 –> 2000-2009	7.6330156	3.9127786	71992.48719	52.394764	1	2
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	6886	3.7265582	37668.48207	40.136167	14.8244289	1982-1999 –> 2000-2009	7.7484044	4.0218461	72351.02522	49.635700	2	4
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	6886	5.6427612	43382.32570	22.049444	27.1635952	1982-1999 –> 2000-2009	11.9368426	6.2940814	83589.77711	29.965724	3	6
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	6886	7.2369206	46807.10589	16.494353	32.6251126	1982-1999 –> 2000-2009	17.1355028	9.8985822	92598.07361	22.687348	4	8
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	6886	9.1689469	50067.92807	2.598793	76.9342020	1982-1999 –> 2000-2009	24.7773772	15.6084303	101478.95243	8.527156	5	10
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + aou	6886	9.4690643	50509.49202	1.134368	80.6288414	1982-1999 –> 2000-2009	25.2736966	15.8046323	102072.61656	2.261454	6	12
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + aou	6886	9.5385359	50610.16399	1.064444	78.8652926	1982-1999 –> 2000-2009	25.4831938	15.9446579	102282.10149	2.176950	7	14
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	6886	10.3260205	51704.65496	2.660314	89.8293147	1982-1999 –> 2000-2009	29.2365193	18.9104989	105483.03287	8.755673	8	16
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	6886	10.6309159	52103.41160	1.003521	90.5736462	1982-1999 –> 2000-2009	29.7978944	19.1669785	106045.97600	2.011581	9	18
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	6886	10.8638871	52401.95867	1.056387	94.5368074	1982-1999 –> 2000-2009	30.1668277	19.3029406	106431.72030	2.084290	10	20
Indo-Pacific	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	6263	4.3877728	36309.34556	19.719845	19.2688329	2000-2009 –> 2010-2019	8.1080098	3.7202370	73956.44668	62.153627	1	2
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	6263	4.4047563	36355.73557	18.292474	19.7097209	2000-2009 –> 2010-2019	8.1313146	3.7265582	74024.21764	58.428642	2	4
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	6263	6.1382899	40512.62951	11.749441	25.6808669	2000-2009 –> 2010-2019	11.7810511	5.6427612	83894.95521	33.798885	3	6
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	6263	7.6890898	43332.18912	9.188196	30.0691313	2000-2009 –> 2010-2019	14.9260104	7.2369206	90139.29500	25.682549	4	8
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	6263	10.3516141	47058.67052	2.908505	82.8382122	2000-2009 –> 2010-2019	19.5205610	9.1689469	97126.59859	5.507298	5	10
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + aou	6263	10.6327718	47392.34789	1.043851	87.2862184	2000-2009 –> 2010-2019	20.1018361	9.4690643	97901.83992	2.178218	6	12
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + aou	6263	10.6569715	47420.82408	1.025201	85.8198111	2000-2009 –> 2010-2019	20.1955073	9.5385359	98030.98807	2.089644	7	14
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	6263	11.7750577	48672.53386	2.986099	97.6714547	2000-2009 –> 2010-2019	22.1010781	10.3260205	100377.18882	5.646413	8	16
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	6263	12.0497848	48959.42430	1.006389	99.6658721	2000-2009 –> 2010-2019	22.6807007	10.6309159	101062.83591	2.009910	9	18
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	6263	12.2566769	49172.66740	1.002945	102.9104900	2000-2009 –> 2010-2019	23.1205639	10.8638871	101574.62608	2.059333	10	20
Indo-Pacific	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	7603	3.3553578	39996.13057	121.676609	16.7317297	1982-1999 –> 2000-2009	7.2129601	3.8576023	79072.96201	161.634029	1	2
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	7603	3.6413208	41237.79972	120.022045	18.8860644	1982-1999 –> 2000-2009	7.5953898	3.9540690	80661.08938	159.736073	2	4
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	7603	4.2108595	43447.54055	72.689773	30.6857057	1982-1999 –> 2000-2009	9.1133829	4.9025234	85904.11912	101.518766	3	6
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	7603	4.8085014	45463.66078	59.397240	40.0461713	1982-1999 –> 2000-2009	11.2881185	6.4796172	91853.12102	81.336511	7	11
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	7603	4.5130753	44501.49899	1.493668	52.7811567	1982-1999 –> 2000-2009	11.6693349	7.1562596	92294.25072	4.433048	4	9
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + aou	7603	4.5943790	44770.99892	1.112686	51.2182094	1982-1999 –> 2000-2009	11.7509363	7.1565574	92562.33757	2.207509	5	11
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + aou	7603	4.6483415	44948.55782	1.150957	53.3499278	1982-1999 –> 2000-2009	11.9230797	7.2747382	92970.96824	2.339705	6	13
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	7603	5.1895010	46625.14999	1.446729	64.8636899	1982-1999 –> 2000-2009	13.8798916	8.6903906	97158.10472	4.246677	8	16
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	7603	5.1896690	46623.64225	1.076775	64.7755336	1982-1999 –> 2000-2009	13.9732885	8.7836194	97305.13886	2.116934	9	18
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	7603	5.2774386	46878.66126	1.082360	65.1695251	1982-1999 –> 2000-2009	14.0930146	8.8155759	97611.39233	2.159110	10	20
Indo-Pacific	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	7518	3.2824903	39218.98500	88.411570	20.9727342	2000-2009 –> 2010-2019	6.6378481	3.3553578	79215.11557	210.088179	1	2
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	7518	3.3650337	39590.41316	88.177044	21.5538316	2000-2009 –> 2010-2019	7.0063545	3.6413208	80828.21288	208.199089	2	4
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	7518	4.5324787	44068.59978	47.385729	28.7673044	2000-2009 –> 2010-2019	8.7433382	4.2108595	87516.14033	120.075501	3	6
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	7518	5.0122791	45581.54879	1.751081	53.5361290	2000-2009 –> 2010-2019	9.5253544	4.5130753	90083.04778	3.244749	4	8
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + aou	7518	5.0799848	45781.29485	1.059995	52.3606475	2000-2009 –> 2010-2019	9.6743637	4.5943790	90552.29377	2.172681	5	10
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + aou	7518	5.1010240	45843.43920	1.150541	54.1019000	2000-2009 –> 2010-2019	9.7493655	4.6483415	90791.99702	2.301498	6	12
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	7518	5.1887362	46099.78589	38.966336	38.3068914	2000-2009 –> 2010-2019	9.9972376	4.8085014	91563.44667	98.363577	7	14
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	7518	5.7571126	47664.71633	1.668551	65.3257758	2000-2009 –> 2010-2019	10.9466136	5.1895010	94289.86632	3.115279	8	16
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	7518	5.7586168	47666.64457	1.031092	65.5632052	2000-2009 –> 2010-2019	10.9482859	5.1896690	94290.28682	2.107866	9	18
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	7518	5.8408781	47879.91279	1.066118	65.8820420	2000-2009 –> 2010-2019	11.1183168	5.2774386	94758.57405	2.148479	10	20
Indo-Pacific	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	3643	1.4861175	13236.85925	106.608780	7.9312509	1982-1999 –> 2000-2009	3.1663567	1.6802391	26120.22277	198.732219	1	2
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	3643	1.4967088	13286.60114	105.320141	7.9928037	1982-1999 –> 2000-2009	3.1975819	1.7008731	26249.03392	194.443183	2	4
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	3643	1.7943555	14608.11636	2.955909	7.7673073	1982-1999 –> 2000-2009	3.7375202	1.9431647	28455.10581	9.983768	3	6
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + aou	3643	1.8202587	14710.54453	1.039732	7.4825562	1982-1999 –> 2000-2009	3.8201152	1.9998565	28746.54112	2.080250	4	8
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	3643	2.1661271	15980.03310	104.405590	17.4994895	1982-1999 –> 2000-2009	4.1964144	2.0302872	30118.33631	195.960648	5	10
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + aou	3643	2.3163290	16466.50658	1.004972	13.6801285	1982-1999 –> 2000-2009	4.5453779	2.2290490	31223.15765	2.015572	6	12
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	3643	2.3568778	16594.94910	2.938019	10.0090832	1982-1999 –> 2000-2009	4.8704438	2.5135660	32151.48664	9.940099	7	14
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	3643	2.3875017	16687.00945	1.025737	10.3817270	1982-1999 –> 2000-2009	4.9743933	2.5868916	32432.53462	2.043214	8	16
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	3643	2.7333918	17672.77428	91.137940	22.8685621	1982-1999 –> 2000-2009	5.3608880	2.6274962	33521.74455	154.307219	10	19
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	3643	2.7046455	17595.74368	1.001103	10.6166689	1982-1999 –> 2000-2009	5.4083201	2.7036746	33634.54510	2.002171	9	19
Indo-Pacific	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	3950	1.5989124	14929.27112	151.354876	8.9094861	2000-2009 –> 2010-2019	3.0850299	1.4861175	28166.13038	257.963656	1	2
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	3950	1.6017616	14941.33634	144.556599	8.8829942	2000-2009 –> 2010-2019	3.0984705	1.4967088	28227.93749	249.876740	2	4
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	3950	1.8107159	15910.02059	3.789398	8.5870136	2000-2009 –> 2010-2019	3.6050715	1.7943555	30518.13695	6.745307	3	6
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + aou	3950	1.8362456	16018.62646	1.083011	8.4717111	2000-2009 –> 2010-2019	3.6565043	1.8202587	30729.17099	2.122743	4	8
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	3950	2.0399846	16851.85807	150.829677	20.0526765	2000-2009 –> 2010-2019	4.2061117	2.1661271	32831.89117	255.235267	5	10
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + aou	3950	2.1975905	17437.77067	1.006957	13.1269621	2000-2009 –> 2010-2019	4.5139195	2.3163290	33904.27725	2.011929	7	13
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	3950	2.1868513	17401.07021	3.778789	8.5804146	2000-2009 –> 2010-2019	4.5437291	2.3568778	33996.01930	6.716808	6	13
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	3950	2.2270546	17542.98579	1.062056	8.3442801	2000-2009 –> 2010-2019	4.6145563	2.3875017	34229.99524	2.087793	8	16
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	3950	2.4854016	18410.04501	1.001802	7.6765815	2000-2009 –> 2010-2019	5.1900471	2.7046455	36005.78869	2.002906	9	18
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	3950	2.6020939	18772.51448	120.416548	20.0094067	2000-2009 –> 2010-2019	5.3354857	2.7333918	36445.28876	211.554488	10	20
Indo-Pacific	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	4823	1.0936827	14562.88603	67.045219	8.4785838	1982-1999 –> 2000-2009	2.3366022	1.2429195	28441.75302	130.233688	1	2
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	4823	1.1015161	14629.72888	65.976589	8.6346681	1982-1999 –> 2000-2009	2.3511845	1.2496684	28552.48389	128.588986	2	4
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	4823	2.1168988	20931.11968	57.866256	12.9862769	1982-1999 –> 2000-2009	4.0762587	1.9593600	38664.96861	113.175780	5	8
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	4823	2.0899242	20807.41566	2.772346	11.3843394	1982-1999 –> 2000-2009	4.1612067	2.0712825	39011.99623	7.005171	3	7
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + aou	4823	2.0983398	20844.17974	1.016324	11.7546789	1982-1999 –> 2000-2009	4.2016090	2.1032693	39176.62396	2.048858	4	9
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + aou	4823	2.4309463	22263.43576	1.023165	12.0055402	1982-1999 –> 2000-2009	4.7424572	2.3115109	41395.89705	2.023388	6	12
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	4823	2.7591078	23484.87748	36.700418	17.3993774	1982-1999 –> 2000-2009	5.2931901	2.5340824	43396.35546	68.795584	7	14
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	4823	2.8215161	23702.62978	2.817250	14.4349804	1982-1999 –> 2000-2009	5.6429897	2.8214735	44526.45001	6.961567	8	16
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	4823	2.8283929	23724.11077	1.000290	14.7698862	1982-1999 –> 2000-2009	5.6744485	2.8460557	44619.44108	2.003361	9	18
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	4823	2.9355644	24082.85602	1.065029	14.7592469	1982-1999 –> 2000-2009	5.8231564	2.8875920	45100.96500	2.081965	10	20
Indo-Pacific	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	5595	1.0854935	16807.89056	84.286768	6.9539858	2000-2009 –> 2010-2019	2.1791761	1.0936827	31370.77660	151.331987	1	2
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	5595	1.0854995	16805.95220	83.589734	6.9626564	2000-2009 –> 2010-2019	2.1870156	1.1015161	31435.68108	149.566323	2	4
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	5595	1.6531088	21512.66093	3.030690	6.3851312	2000-2009 –> 2010-2019	3.7430329	2.0899242	42320.07660	5.803036	3	6
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + aou	5595	1.6635849	21581.35069	1.093445	6.3863825	2000-2009 –> 2010-2019	3.7619247	2.0983398	42425.53042	2.109769	4	8
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	5595	2.0349545	23838.12047	69.090063	9.8805421	2000-2009 –> 2010-2019	4.1518533	2.1168988	44769.24015	126.956318	5	10
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + aou	5595	2.1308104	24351.18377	1.002569	7.4370097	2000-2009 –> 2010-2019	4.5617567	2.4309463	46614.61953	2.025734	6	12
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	5595	2.2549166	24986.65636	2.869347	7.9340124	2000-2009 –> 2010-2019	5.0764327	2.8215161	48689.28614	5.686598	7	15
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	5595	2.2624195	25021.82762	1.039306	7.9014517	2000-2009 –> 2010-2019	5.0908123	2.8283929	48745.93839	2.039596	8	17
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	5595	2.5673452	26436.66380	44.709959	12.5977325	2000-2009 –> 2010-2019	5.3264529	2.7591078	49921.54128	81.410378	10	17
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	5595	2.4459179	25894.48711	1.019638	7.7505704	2000-2009 –> 2010-2019	5.3814823	2.9355644	49977.34313	2.084666	9	19
Indo-Pacific	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	8638	1.0521302	25403.49473	93.025637	6.5115716	1982-1999 –> 2000-2009	2.1975888	1.1454586	50630.32602	185.412084	1	2
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	8638	1.2183710	27935.84621	92.544301	8.9029073	1982-1999 –> 2000-2009	2.4464852	1.2281142	54290.66313	183.534946	2	4
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	8638	1.3430046	29618.43645	57.325952	6.7156345	1982-1999 –> 2000-2009	2.6701606	1.3271560	57231.09672	118.042346	3	6
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	8638	1.7292840	33985.77593	5.708081	9.3410841	1982-1999 –> 2000-2009	3.4133820	1.6840980	65461.43138	10.587107	4	8
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + aou	8638	1.7298028	33988.95776	1.010853	9.2650453	1982-1999 –> 2000-2009	3.4144388	1.6846360	65467.79340	2.029864	5	10
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + aou	8638	1.7731662	34416.70048	1.106769	9.5576286	1982-1999 –> 2000-2009	3.4692221	1.6960559	66005.10443	2.158622	6	13
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	8638	1.9756060	36284.38166	17.647541	10.1774180	1982-1999 –> 2000-2009	3.6702579	1.6946520	67859.35510	37.236943	7	13
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	8638	2.1181200	37489.71920	5.333329	9.9559903	1982-1999 –> 2000-2009	4.1930480	2.0749280	72350.01172	10.180952	8	16
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	8638	2.1725779	37926.28025	1.010186	10.2923183	1982-1999 –> 2000-2009	4.2604397	2.0878617	72885.35119	2.010693	9	18
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	8638	2.1754839	37949.37253	1.097183	10.8125621	1982-1999 –> 2000-2009	4.3200912	2.1446073	73343.34554	2.209107	10	20
Indo-Pacific	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	9866	0.8416921	24609.86303	112.509598	6.7734711	2000-2009 –> 2010-2019	1.8938224	1.0521302	50013.35775	205.535235	1	2
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	9866	1.0519828	29008.44915	111.206867	7.5638934	2000-2009 –> 2010-2019	2.2703538	1.2183710	56944.29536	203.751168	2	4
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	9866	1.1085175	30041.35542	70.927477	7.6283986	2000-2009 –> 2010-2019	2.4515221	1.3430046	59659.79187	128.253428	3	6
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	9866	1.2332114	32144.75029	3.837476	5.2480088	2000-2009 –> 2010-2019	2.9624954	1.7292840	66130.52622	9.545557	4	8
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + aou	9866	1.2583439	32540.84000	1.038173	5.7216429	2000-2009 –> 2010-2019	2.9881467	1.7298028	66529.79776	2.049026	5	10
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + aou	9866	1.3173676	33445.33493	1.142639	5.8507317	2000-2009 –> 2010-2019	3.0905338	1.7731662	67862.03541	2.249407	6	12
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	9866	1.6719798	38148.90923	29.646577	10.5287367	2000-2009 –> 2010-2019	3.6475858	1.9756060	74433.29090	47.294118	10	17
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	9866	1.5935527	37202.93507	3.584084	6.3097792	2000-2009 –> 2010-2019	3.7116727	2.1181200	74692.65426	8.917413	7	15
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	9866	1.6056432	37350.07852	1.118918	6.6477706	2000-2009 –> 2010-2019	3.7811271	2.1754839	75299.45105	2.216101	8	18
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	9866	1.6666816	38086.28275	1.042869	5.9855059	2000-2009 –> 2010-2019	3.8392595	2.1725779	76012.56300	2.053055	9	18
Indo-Pacific	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	5759	0.7588013	13176.18951	91.333465	6.6803477	1982-1999 –> 2000-2009	1.6250673	0.8662660	27385.66651	190.568987	1	2
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	5759	0.7593926	13183.16142	77.021089	6.8928484	1982-1999 –> 2000-2009	1.6269192	0.8675266	27406.82661	162.365084	2	4
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	5759	1.1113125	17568.96428	86.057214	8.4053776	1982-1999 –> 2000-2009	2.1235626	1.0122501	33510.12729	169.115562	3	6
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	5759	1.4898971	20943.64157	12.865714	9.1748696	1982-1999 –> 2000-2009	2.6014162	1.1115192	37924.22611	26.123910	7	11
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	5759	1.3866149	20118.16994	16.444992	5.8028915	1982-1999 –> 2000-2009	2.6128652	1.2262504	38194.28800	26.062229	4	9
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + aou	5759	1.4069612	20283.94990	1.014687	6.3666461	1982-1999 –> 2000-2009	2.6524952	1.2455341	38531.76463	2.016413	5	12
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + aou	5759	1.4354606	20514.92744	1.396574	6.3249410	1982-1999 –> 2000-2009	2.6646930	1.2292323	38616.08309	2.687411	6	12
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	5759	1.5554469	21441.55915	14.550034	5.2213869	1982-1999 –> 2000-2009	2.9638921	1.4084452	41059.74185	23.212063	8	16
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	5759	1.6339100	22006.39441	1.098496	6.1453279	1982-1999 –> 2000-2009	3.0447573	1.4108473	41641.54609	2.159310	9	18
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	5759	1.6534413	22143.26105	1.019144	6.6692133	1982-1999 –> 2000-2009	3.1363608	1.4829195	42333.03502	2.066331	10	20
Indo-Pacific	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	8070	0.6834862	16771.60893	68.099453	6.2320911	2000-2009 –> 2010-2019	1.4422875	0.7588013	29947.79844	159.432918	1	2
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	8070	0.7064700	17303.42818	63.856688	6.1782961	2000-2009 –> 2010-2019	1.4658626	0.7593926	30486.58961	140.877777	2	4
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	8070	0.9066179	21329.39534	64.637680	8.0748350	2000-2009 –> 2010-2019	2.0179304	1.1113125	38898.35962	150.694894	3	6
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	8070	1.1919371	25745.52547	9.464729	5.6146912	2000-2009 –> 2010-2019	2.5785519	1.3866149	45863.69541	25.909721	4	8
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + aou	8070	1.1927117	25754.01129	1.006000	5.6054547	2000-2009 –> 2010-2019	2.5996729	1.4069612	46037.96120	2.020687	5	10
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + aou	8070	1.2082456	25962.86161	1.393173	6.3505113	2000-2009 –> 2010-2019	2.6437062	1.4354606	46477.78906	2.789747	6	12
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	8070	1.3438322	27679.44797	18.706417	11.2829946	2000-2009 –> 2010-2019	2.8337293	1.4898971	48623.08954	31.572131	7	14
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	8070	1.4147167	28511.10731	8.446649	4.6078909	2000-2009 –> 2010-2019	2.9701636	1.5554469	49952.66646	22.996683	8	16
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	8070	1.4515099	28923.50139	1.148008	5.7376266	2000-2009 –> 2010-2019	3.0854198	1.6339100	50929.89580	2.246505	10	19
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	8070	1.4415666	28812.55698	1.077987	4.5597910	2000-2009 –> 2010-2019	3.0950079	1.6534413	50955.81803	2.097131	9	19
Indo-Pacific	(28.1,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	8973	0.9009246	23603.89750	37.434444	14.2026441	1982-1999 –> 2000-2009	1.6867608	0.7858363	47412.47419	73.220648	1	2
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + aou + nitrate	8973	0.9274736	24123.09934	34.914300	13.5215572	1982-1999 –> 2000-2009	1.7237322	0.7962586	48195.84859	68.322517	2	4
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ temp + aou + nitrate	8973	1.4569807	32228.54009	23.215948	9.6771841	1982-1999 –> 2000-2009	2.5262683	1.0692876	62257.32120	46.923212	5	8
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ aou + nitrate	8973	1.5057850	32817.82601	8.051891	9.3843076	1982-1999 –> 2000-2009	2.6091675	1.1033825	63478.70489	17.329351	9	13
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + aou	8973	1.3658252	31069.09471	6.894435	5.4413647	1982-1999 –> 2000-2009	2.7098250	1.3439997	65717.21334	12.240804	3	8
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + aou	8973	1.3860720	31331.17004	1.496979	6.0963816	1982-1999 –> 2000-2009	2.7503254	1.3642534	66279.45547	3.067294	4	11
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + aou	8973	1.4863618	32584.83462	3.422223	8.0411197	1982-1999 –> 2000-2009	2.8312396	1.3448777	67244.14612	5.936728	8	14
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + nitrate	8973	1.4680811	32364.74868	6.431794	5.3059163	1982-1999 –> 2000-2009	2.9891573	1.5210761	69513.22876	11.469362	6	14
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + nitrate	8973	1.5666315	33528.72853	1.833376	6.6541152	1982-1999 –> 2000-2009	3.0881995	1.5215681	70681.74105	3.413446	11	20
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + temp	8973	1.4861642	32582.44758	2.756787	5.7060425	1982-1999 –> 2000-2009	3.1272606	1.6410965	71263.19945	6.040819	7	18
Indo-Pacific	(28.1,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	10751	0.9575838	29590.07550	36.925829	9.3264011	2000-2009 –> 2010-2019	1.8585084	0.9009246	53193.97300	74.360274	1	2
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + aou + nitrate	10751	0.9966317	30447.46824	36.508130	8.5444175	2000-2009 –> 2010-2019	1.9241053	0.9274736	54570.56758	71.422429	2	4
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + aou	10751	1.3100744	36327.36108	4.949650	5.3084551	2000-2009 –> 2010-2019	2.6758996	1.3658252	67396.45580	11.844084	3	6
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + aou	10751	1.3187486	36467.26036	1.334469	5.6079437	2000-2009 –> 2010-2019	2.7048206	1.3860720	67798.43041	2.831448	4	8
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ temp + aou + nitrate	10751	1.4261539	38152.82327	18.003845	11.2710931	2000-2009 –> 2010-2019	2.8831346	1.4569807	70381.36336	41.219793	5	10
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + nitrate	10751	1.4329876	38255.60791	4.994047	4.9684428	2000-2009 –> 2010-2019	2.9010687	1.4680811	70620.35658	11.425840	7	13
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + aou	10751	1.4294590	38200.59670	3.406293	10.7625438	2000-2009 –> 2010-2019	2.9158209	1.4863618	70785.43132	6.828516	6	14
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ aou + nitrate	10751	1.4437559	38414.58195	9.458234	11.3713793	2000-2009 –> 2010-2019	2.9495408	1.5057850	71232.40796	17.510125	8	17
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + temp	10751	1.4845146	39013.19573	1.872894	5.7832251	2000-2009 –> 2010-2019	2.9706788	1.4861642	71595.64330	4.629681	9	16
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + nitrate	10751	1.4855961	39028.85434	1.062345	6.4367926	2000-2009 –> 2010-2019	3.0496876	1.5640915	72528.46285	2.161724	10	20
Indo-Pacific	(28.2,28.3]	4	cstar_tref ~ sal + temp + aou + nitrate	1590	0.6871110	3330.89970	34.246104	5.3843265	1982-1999 –> 2000-2009	1.0967340	0.4096230	5345.40306	83.070088	1	2
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ temp + aou + nitrate	1590	0.6886304	3335.92378	28.882477	4.8841260	1982-1999 –> 2000-2009	1.1350244	0.4463940	5675.43698	73.913994	3	5
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + nitrate	1590	0.6872663	3329.61836	11.944268	5.4244038	1982-1999 –> 2000-2009	1.2534883	0.5662219	6573.66267	18.364118	2	7
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + nitrate	1590	0.6895506	3338.17001	1.258977	4.8226050	1982-1999 –> 2000-2009	1.2602428	0.5706923	6610.12894	2.687764	4	10
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + aou + nitrate	1590	0.7302787	3522.65841	27.964443	7.0861090	1982-1999 –> 2000-2009	1.2868065	0.5565277	6701.01090	54.170465	5	8
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ aou + nitrate	1590	0.7678931	3680.37155	5.874589	5.0709561	1982-1999 –> 2000-2009	1.3249588	0.5570657	6860.39916	13.714204	7	11
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + aou	1590	0.8127148	3862.77181	14.077063	5.2332171	1982-1999 –> 2000-2009	1.4388564	0.6261417	7489.46246	20.856645	8	15
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + aou	1590	0.8166083	3875.97001	2.220123	4.3570254	1982-1999 –> 2000-2009	1.4510687	0.6344604	7550.86694	4.807097	9	17
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + nitrate	1590	0.7423633	3572.85016	1.939435	7.9145276	1982-1999 –> 2000-2009	1.7866035	1.0442401	9143.16548	3.668720	6	16
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + temp	1590	1.2274312	5171.88146	5.332061	8.2978042	1982-1999 –> 2000-2009	1.9025988	0.6751675	9083.33372	10.572812	11	20
Indo-Pacific	(28.2,28.3]	4	cstar_tref ~ sal + temp + aou + nitrate	1726	0.4760277	2347.82784	47.759111	5.0102743	2000-2009 –> 2010-2019	1.1631387	0.6871110	5678.72754	82.005215	1	2
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + aou + nitrate	1726	0.4870727	2425.00776	44.250961	4.6006668	2000-2009 –> 2010-2019	1.2173515	0.7302787	5947.66616	72.215404	2	7
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + nitrate	1726	0.5490118	2838.23470	24.853786	4.4175914	2000-2009 –> 2010-2019	1.2362781	0.6872663	6167.85306	36.798054	5	7
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + nitrate	1726	0.5790762	3020.27530	2.882215	3.5454061	2000-2009 –> 2010-2019	1.3214396	0.7423633	6593.12546	4.821651	6	12
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ temp + aou + nitrate	1726	0.6612023	3480.09915	35.918010	1.8910371	2000-2009 –> 2010-2019	1.3498327	0.6886304	6816.02292	64.800487	7	10
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + aou	1726	0.5387623	2773.18025	33.037514	4.6825582	2000-2009 –> 2010-2019	1.3514771	0.8127148	6635.95207	47.114577	3	11
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + nitrate	1726	0.6632370	3488.70562	1.498204	2.0459535	2000-2009 –> 2010-2019	1.3527876	0.6895506	6826.87563	2.757181	8	12
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ aou + nitrate	1726	0.7092891	3720.44116	6.681542	1.9749457	2000-2009 –> 2010-2019	1.4771822	0.7678931	7400.81270	12.556132	10	17
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + aou	1726	0.7049384	3699.20158	3.006127	2.0900519	2000-2009 –> 2010-2019	1.5215466	0.8166083	7575.17159	5.226250	9	18
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + aou	1726	0.5426864	2796.23188	11.405791	4.9443332	2000-2009 –> 2010-2019	1.5730734	1.0303870	7411.64793	16.537421	4	14
Indo-Pacific	(28.3, Inf]	4	cstar_tref ~ sal + temp + aou + nitrate	146	0.0069487	-1024.67710	555.778249	0.0314096	1982-1999 –> 2000-2009	0.4376718	0.4307231	-732.42580	1004.428027	1	2
Indo-Pacific	(28.3, Inf]	3	cstar_tref ~ temp + aou + nitrate	146	0.0089880	-951.53467	363.588467	0.0355387	1982-1999 –> 2000-2009	0.4799767	0.4709887	-617.85024	717.030522	2	4
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ aou + nitrate	146	0.0156182	-792.19021	245.471543	0.0408818	1982-1999 –> 2000-2009	0.5210352	0.5054169	-426.21869	395.661016	3	6
Indo-Pacific	(28.3, Inf]	3	cstar_tref ~ sal + temp + nitrate	146	0.0302398	-597.26047	69.622651	0.1328666	1982-1999 –> 2000-2009	0.5474410	0.5172012	-218.08746	224.378852	4	8
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + nitrate	146	0.0360938	-547.58750	37.608555	0.2017388	1982-1999 –> 2000-2009	0.5557764	0.5196826	-168.08838	40.912122	6	11
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ temp + nitrate	146	0.0334714	-569.61245	40.638993	0.1052548	1982-1999 –> 2000-2009	0.6655081	0.6320366	-94.98897	139.686084	5	13
Indo-Pacific	(28.3, Inf]	3	cstar_tref ~ sal + temp + aou	146	0.1304169	-170.47944	84.730069	0.4631627	1982-1999 –> 2000-2009	0.7022942	0.5718773	257.53288	317.537131	7	13
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + aou	146	0.1310829	-170.99224	64.962319	0.4966638	1982-1999 –> 2000-2009	0.7652300	0.6341471	305.25137	68.892830	8	17
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + temp	146	0.2658733	35.50735	55.226957	0.5959301	1982-1999 –> 2000-2009	0.8387970	0.5729237	462.40816	59.171280	10	17
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ temp + aou	146	0.1412824	-149.11228	57.807037	0.4093617	1982-1999 –> 2000-2009	0.9351529	0.7938704	436.30603	289.411780	9	19
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + nitrate	32	0.0376344	-111.09755	140.703146	0.1180601	2000-2009 –> 2010-2019	0.0737281	0.0360938	-658.68506	178.311700	1	2
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + aou	32	0.0642740	-76.84234	104.311268	0.1834091	2000-2009 –> 2010-2019	0.1953569	0.1310829	-247.83458	169.273587	2	4
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + temp	32	0.0842261	-59.53995	99.983874	0.2288189	2000-2009 –> 2010-2019	0.3500994	0.2658733	-24.03261	155.210831	3	6

5.4.2 per fitting unit

lm_best %>%
  select(-n_predictors) %>%
  group_by(basin, gamma_slab, eras) %>% 
  summarise(rmse_sum_mean = mean(rmse_sum),
            ais_sum_mean = mean(aic_sum)) %>% 
  ungroup() %>% 
  kable() %>%
  add_header_above() %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "400px")

basin	gamma_slab	eras	rmse_sum_mean	ais_sum_mean
Atlantic	(-Inf,26]	1982-1999 –> 2000-2009	18.5211220	4715.20195
Atlantic	(-Inf,26]	2000-2009 –> 2010-2019	17.6551788	4081.18227
Atlantic	(26,26.5]	1982-1999 –> 2000-2009	15.4141651	15624.30122
Atlantic	(26,26.5]	2000-2009 –> 2010-2019	15.6249219	14314.13665
Atlantic	(26.5,26.75]	1982-1999 –> 2000-2009	12.0895002	15069.52755
Atlantic	(26.5,26.75]	2000-2009 –> 2010-2019	11.9183541	12990.37952
Atlantic	(26.75,27]	1982-1999 –> 2000-2009	11.8370855	23291.57055
Atlantic	(26.75,27]	2000-2009 –> 2010-2019	12.0196573	19267.62832
Atlantic	(27,27.25]	1982-1999 –> 2000-2009	11.3850270	31197.76192
Atlantic	(27,27.25]	2000-2009 –> 2010-2019	12.1470559	24079.99876
Atlantic	(27.25,27.5]	1982-1999 –> 2000-2009	9.3218297	38860.30250
Atlantic	(27.25,27.5]	2000-2009 –> 2010-2019	10.4808177	32859.66357
Atlantic	(27.5,27.75]	1982-1999 –> 2000-2009	10.1109374	55939.90003
Atlantic	(27.5,27.75]	2000-2009 –> 2010-2019	11.9172306	47339.99046
Atlantic	(27.75,27.85]	1982-1999 –> 2000-2009	13.1602750	38166.75326
Atlantic	(27.75,27.85]	2000-2009 –> 2010-2019	15.7442386	33920.78815
Atlantic	(27.85,27.95]	1982-1999 –> 2000-2009	14.0982643	118676.18977
Atlantic	(27.85,27.95]	2000-2009 –> 2010-2019	17.6320113	100444.37222
Atlantic	(27.95,28.05]	1982-1999 –> 2000-2009	13.7114640	100303.45825
Atlantic	(27.95,28.05]	2000-2009 –> 2010-2019	17.8022159	78674.80560
Atlantic	(28.05,28.1]	1982-1999 –> 2000-2009	6.0318987	32753.52387
Atlantic	(28.05,28.1]	2000-2009 –> 2010-2019	6.7830375	27823.60747
Atlantic	(28.1,28.15]	1982-1999 –> 2000-2009	5.4512954	31014.36758
Atlantic	(28.1,28.15]	2000-2009 –> 2010-2019	5.6536679	26079.36392
Atlantic	(28.15,28.2]	1982-1999 –> 2000-2009	2.5844190	12145.02018
Atlantic	(28.15,28.2]	2000-2009 –> 2010-2019	2.7484860	10608.21148
Atlantic	(28.2, Inf]	1982-1999 –> 2000-2009	2.7178295	18634.05762
Atlantic	(28.2, Inf]	2000-2009 –> 2010-2019	2.4243377	13159.68875
Indo-Pacific	(-Inf,26]	1982-1999 –> 2000-2009	29.8881342	60875.93358
Indo-Pacific	(-Inf,26]	2000-2009 –> 2010-2019	29.3541673	80625.06580
Indo-Pacific	(26,26.5]	1982-1999 –> 2000-2009	30.5235285	57689.61763
Indo-Pacific	(26,26.5]	2000-2009 –> 2010-2019	31.4235415	55741.41872
Indo-Pacific	(26.5,26.75]	1982-1999 –> 2000-2009	28.6201252	51541.04271
Indo-Pacific	(26.5,26.75]	2000-2009 –> 2010-2019	29.8486821	48239.95320
Indo-Pacific	(26.75,27]	1982-1999 –> 2000-2009	25.7003464	62622.81549
Indo-Pacific	(26.75,27]	2000-2009 –> 2010-2019	25.3833703	62080.22976
Indo-Pacific	(27,27.25]	1982-1999 –> 2000-2009	23.2418704	77193.28129
Indo-Pacific	(27,27.25]	2000-2009 –> 2010-2019	20.3343884	73848.67654
Indo-Pacific	(27.25,27.5]	1982-1999 –> 2000-2009	20.9189274	94432.57628
Indo-Pacific	(27.25,27.5]	2000-2009 –> 2010-2019	17.0666633	91808.89919
Indo-Pacific	(27.5,27.75]	1982-1999 –> 2000-2009	11.2499397	90739.34840
Indo-Pacific	(27.5,27.75]	2000-2009 –> 2010-2019	9.4347078	89388.89812
Indo-Pacific	(27.75,27.85]	1982-1999 –> 2000-2009	4.3277412	30265.27085
Indo-Pacific	(27.75,27.85]	2000-2009 –> 2010-2019	4.1848925	32505.46362
Indo-Pacific	(27.85,27.95]	1982-1999 –> 2000-2009	4.4303103	39288.69343
Indo-Pacific	(27.85,27.95]	2000-2009 –> 2010-2019	4.1459940	43627.00333
Indo-Pacific	(27.95,28.05]	1982-1999 –> 2000-2009	3.4055114	64552.44786
Indo-Pacific	(27.95,28.05]	2000-2009 –> 2010-2019	3.0636519	66757.77636
Indo-Pacific	(28.05,28.1]	1982-1999 –> 2000-2009	2.5052029	36660.33052
Indo-Pacific	(28.05,28.1]	2000-2009 –> 2010-2019	2.4732332	43817.36632
Indo-Pacific	(28.1,28.2]	1982-1999 –> 2000-2009	2.6041936	63204.33331
Indo-Pacific	(28.1,28.2]	2000-2009 –> 2010-2019	2.6833265	67010.30922
Indo-Pacific	(28.2,28.3]	1982-1999 –> 2000-2009	1.3936382	7103.28703
Indo-Pacific	(28.2,28.3]	2000-2009 –> 2010-2019	1.3564108	6705.38551
Indo-Pacific	(28.3, Inf]	1982-1999 –> 2000-2009	0.6448883	-79.61611
Indo-Pacific	(28.3, Inf]	2000-2009 –> 2010-2019	0.2063948	-310.18408

5.5 Target variable coefficients

A data frame to map the target variable is prepared.

# create table with two era belonging to one eras
eras_forward <- lm_all_fitted_wide %>%
  arrange(era) %>% 
  group_by(basin, gamma_slab, model) %>% 
  mutate(eras = paste(era, lead(era), sep = " --> ")) %>% 
  ungroup() %>% 
  select(era, eras) %>% 
  unique()

eras_backward <- lm_all_fitted_wide %>%
  arrange(era) %>% 
  group_by(basin, gamma_slab, model) %>% 
  mutate(eras = paste(lag(era), era, sep = " --> ")) %>% 
  ungroup() %>% 
  select(era, eras) %>% 
  unique()

eras_era <- full_join(eras_backward, eras_forward) %>% 
  filter(str_detect(eras, "NA") == FALSE)

# extend best model selection from eras to era
lm_best_target <- full_join(
  lm_best %>% select(basin, gamma_slab, model, eras),
  eras_era)

lm_best_target <- left_join(lm_best_target, lm_all_fitted_wide)

rm(eras_era, eras_forward, eras_backward,
   lm_all_fitted)

5.6 Plot selected model residuals

# plot model diagnostics, if activated
if (params_local$plot_all_figures == "y") {
  # mutate predictors column
  lm_best_plot <- lm_best_target %>%
    select(basin, gamma_slab, model, eras, era) %>%
    mutate(
      predictors = str_remove(model, paste(params_local$MLR_target, "~ ")),
      predictors = str_replace_all(predictors, "\\+ ", "")
    )
  
  # loop across all basins, era, gamma slabs, and MLRs
  # fit all MLR models
  for (i_basin in unique(GLODAP$basin)) {
    for (i_era in unique(GLODAP$era)) {
      #i_basin <- unique(GLODAP$basin)[1]
      #i_era   <- unique(GLODAP$era)[2]
      print(i_basin)
      print(i_era)
      
      GLODAP_basin_era <- GLODAP %>%
        filter(basin == i_basin, era == i_era)
      
      for (i_gamma_slab in unique(GLODAP_basin_era$gamma_slab)) {
        #i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[1]
        print(i_gamma_slab)
        
        GLODAP_basin_era_slab <- GLODAP_basin_era %>%
          filter(gamma_slab == i_gamma_slab)
        
        lm_best_basin_era_slab <- lm_best_plot %>%
          filter(basin == i_basin, era == i_era, gamma_slab == i_gamma_slab)
        
        for (i_eras in unique(lm_best_basin_era_slab$eras)) {
          #i_eras <- unique(lm_best_basin_era_slab$eras)[1]
          print(i_eras)
          
          lm_best_basin_era_slab_eras <- lm_best_basin_era_slab %>%
            filter(eras == i_eras)
          
          for (i_predictors in unique(lm_best_basin_era_slab_eras$predictors)) {
            #i_predictors <- unique(lm_best_basin_era_slab$predictors)[1]
            print(i_predictors)
            # extract one model definition
            i_lm <- lm_all %>%
              filter(predictors == i_predictors) %>%
              select(lm_coeff) %>%
              pull()
            
             # fit model
          if (params_local$MLR_type == "rlm") {
            i_lm_fit <- MASS::rlm(as.formula(i_lm),
                                  data = GLODAP_basin_era_slab)
          }
          
          if (params_local$MLR_type == "lm") {
            i_lm_fit <- lm(as.formula(i_lm),
                           data = GLODAP_basin_era_slab)
          }
            
            # plot model diagnostics vs predictors
            
            p_model_predictors <- ggnostic(
              i_lm_fit,
              columnsY = c(params_local$MLR_target, ".fitted", ".resid"),
              title = paste(
                "era:",
                i_era,
                "| eras:",
                i_eras,
                "| basin:",
                i_basin,
                "| gamma slab:",
                i_gamma_slab,
                "| predictors:",
                i_predictors
              )
            )
            
            ggsave(
              plot = p_model_predictors,
              path = paste(path_version_figures, "eMLR_diagnostics/", sep = ""),
              filename = paste(
                "MLR_residuals",
                i_era,
                i_eras,
                i_basin,
                i_gamma_slab,
                i_predictors,
                "predictors.png",
                sep = "_"
              ),
              width = 14,
              height = 8
            )

            rm(p_model_predictors)
            
            
            # plot model diagnostics vs location
            
            GLODAP_basin_era_slab <- GLODAP_basin_era_slab %>%
              mutate(fitted = i_lm_fit$fitted.values,
                     residuals = i_lm_fit$residuals)
            
            GLODAP_basin_era_slab_long <- GLODAP_basin_era_slab %>% 
              pivot_longer(cols = c(params_local$MLR_target , fitted, residuals),
                           names_to = "estimate",
                           values_to = "value"
              ) %>% 
              pivot_longer(cols = c(lat, lon, depth),
                           names_to = "coordinate_type",
                           values_to = "coordinate_value"
              )

             p_model_coordinate <- GLODAP_basin_era_slab_long %>%
              ggplot(aes(coordinate_value, value)) +
              geom_bin2d() +
              scale_fill_viridis_c() +
              labs(
                title = paste(
                  "era:",
                  i_era,
                  "| eras:",
                  i_eras,
                  "| basin:",
                  i_basin,
                  "| gamma slab:",
                  i_gamma_slab,
                  "| predictors:",
                  i_predictors
                )
              ) +
              facet_grid(estimate~coordinate_type,
                         scales = "free")

            ggsave(
              plot = p_model_coordinate,
              path = paste(path_version_figures, "eMLR_diagnostics", sep = ""),
              filename = paste(
                "Location_MLR_residuals",
                i_era,
                i_eras,
                i_basin,
                i_gamma_slab,
                i_predictors,
                "predictors.png",
                sep = "_"
              ),
              width = 14,
              height = 8
            )

            rm(p_model_coordinate)
            
          }
          
        }
        
      }
    }
  }
  
  rm(
    lm_best_plot,
    lm_best_basin_era_slab,
    i_rmse,
    GLODAP_basin_era,
    GLODAP_basin_era_slab,
    i_lm,
    lm_all_fitted,
    i_basin,
    i_era,
    i_gamma_slab,
    i_predictors,
    lm_all,
    i_aic,
    i_n_predictors,
    i_resid_max
  )
  
}

Individual residual plots of the MLR models for each basin, era, eras and neutral density (gamma) slab are available at:

/nfs/kryo/work/jenmueller/emlr_cant/model/v_XXX/figures/eMLR_diagnostics/

5.7 Cant coeffcients

A data frame of coefficient offsets is prepared to facilitate the direct mapping of Cant.

# pivot long format
lm_best_long <- lm_best_target %>%
  pivot_longer(cols = starts_with("coeff_"),
               names_to = "term",
               values_to = "estimate",
               names_prefix = "coeff_")

# subtract coefficients of adjacent era
lm_best_long <- lm_best_long %>%
  arrange(era) %>%
  group_by(basin, gamma_slab, eras, model, term) %>%
  mutate(delta_coeff = estimate - lag(estimate)) %>%
  ungroup() %>%
  arrange(basin, gamma_slab, model, term, eras) %>%
  drop_na() %>%
  select(-c(era,estimate))

# pivot back to wide format
lm_best_cant <- lm_best_long %>%
  pivot_wider(values_from = delta_coeff,
              names_from = term,
              names_prefix = "delta_coeff_",
              values_fill = 0)

5.8 Write files

lm_best_target %>%
  select(
    basin,
    gamma_slab,
    model,
    eras,
    era,
    starts_with("coeff_")
  ) %>%
  write_csv(paste(path_version_data,
                  "lm_best_target.csv",
                  sep = ""))

lm_best_cant %>%
  select(
    basin,
    gamma_slab,
    model,
    eras,
    starts_with("delta_coeff_")
  ) %>%
  write_csv(paste(path_version_data,
                  "lm_best_cant.csv",
                  sep = ""))

lm_best %>%
  write_csv(paste(path_version_data,
                  "lm_best.csv",
                  sep = ""))

6 Model diagnotics

6.1 Selection criterion vs predictors

The selection criterion (rmse) was plotted against the number of predictors (limited to 2 - 5).

6.1.1 All models

if (params_local$MLR_criterion != "rank") {
lm_all_fitted_wide %>%
  ggplot(aes(as.factor(n_predictors),
             !!sym(params_local$MLR_criterion),
             col = basin)) +
  geom_hline(yintercept = 10) +
  geom_boxplot() +
  facet_grid(gamma_slab~era) +
  scale_color_brewer(palette = "Set1") +
  labs(x="Number of predictors")
}

6.1.2 Best models

if (params_local$MLR_criterion != "rank") {
lm_best_target %>%
  ggplot(aes("",
             !!sym(params_local$MLR_criterion),
             col = basin)) +
  geom_hline(yintercept = 10) +
  geom_boxplot() +
  facet_grid(gamma_slab~era) +
  scale_color_brewer(palette = "Set1") +
  labs(x="Number of predictors pooled")
}

6.2 RMSE correlation between eras

RMSE was plotted to compare the agreement for one model applied to two adjacent eras (ie check whether the same predictor combination performs equal in both eras).

6.2.1 All models

# find max rmse to scale axis
max_rmse <-
  max(c(lm_all_fitted_wide_eras$rmse,
        lm_all_fitted_wide_eras$rmse_sum - lm_all_fitted_wide_eras$rmse))

lm_all_fitted_wide_eras %>%
  ggplot(aes(rmse, rmse_sum - rmse, col = gamma_slab)) +
  geom_point() +
  scale_color_viridis_d() +
  coord_equal(xlim = c(0,max_rmse),
              ylim = c(0,max_rmse)) +
  facet_grid(eras ~ basin)

Past versions of rmse_correlation_across_eras_all_models-1.png

Version	Author	Date
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
50f0a16	Donghe-Zhu	2021-07-31
1682579	Donghe-Zhu	2021-07-31
9fa8832	Donghe-Zhu	2021-07-31
4abf542	Donghe-Zhu	2021-07-31
a2483f0	Donghe-Zhu	2021-07-31
3300527	Donghe-Zhu	2021-07-31
afeb6fd	Donghe-Zhu	2021-07-31
cb3ef32	Donghe-Zhu	2021-07-31
6528618	Donghe-Zhu	2021-07-31
f50925e	Donghe-Zhu	2021-07-31
f4de2f3	Donghe-Zhu	2021-07-30
43bc7b4	Donghe-Zhu	2021-07-30
f8c34a8	Donghe-Zhu	2021-07-30
4f897c4	Donghe-Zhu	2021-07-30
0f6e960	Donghe-Zhu	2021-07-30
fe067ea	Donghe-Zhu	2021-07-30
fbca39a	Donghe-Zhu	2021-07-30
f945f95	Donghe-Zhu	2021-07-30
a3006cd	Donghe-Zhu	2021-07-30
a55ffdc	Donghe-Zhu	2021-07-30
d5e4458	Donghe-Zhu	2021-07-30
10a97ef	Donghe-Zhu	2021-07-30
1c501fd	Donghe-Zhu	2021-07-30
68bce3f	Donghe-Zhu	2021-07-30
400c457	Donghe-Zhu	2021-07-29
3ba7852	Donghe-Zhu	2021-07-29
ec68363	Donghe-Zhu	2021-07-28
d3018f6	Donghe-Zhu	2021-07-28
b8ba2c4	Donghe-Zhu	2021-07-28
a4ddd84	Donghe-Zhu	2021-07-27
7ef49ab	Donghe-Zhu	2021-07-27
da818c0	Donghe-Zhu	2021-07-27
8623898	Donghe-Zhu	2021-07-27
f84b77c	Donghe-Zhu	2021-07-27
70ad9a5	Donghe-Zhu	2021-07-27
0d0b48d	Donghe-Zhu	2021-07-27
d0d97c6	Donghe-Zhu	2021-07-27
829510d	Donghe-Zhu	2021-07-27
780627d	Donghe-Zhu	2021-07-27
e9838c9	Donghe-Zhu	2021-07-27
2777f33	Donghe-Zhu	2021-07-27
d19760f	Donghe-Zhu	2021-07-27
cac5680	Donghe-Zhu	2021-07-23
7bb279a	Donghe-Zhu	2021-07-23
d52eac4	Donghe-Zhu	2021-07-23
dcf34b1	Donghe-Zhu	2021-07-23
419cb72	Donghe-Zhu	2021-07-22
9447d10	Donghe-Zhu	2021-07-22
639c9a0	Donghe-Zhu	2021-07-22
25bb96f	Donghe-Zhu	2021-07-22
cdc98a3	Donghe-Zhu	2021-07-22
e4805a1	Donghe-Zhu	2021-07-22
7957fd1	Donghe-Zhu	2021-07-21
b94be4e	Donghe-Zhu	2021-07-21
9950e70	Donghe-Zhu	2021-07-21
698b6f0	Donghe-Zhu	2021-07-20
d84a1cb	Donghe-Zhu	2021-07-20
4dce223	Donghe-Zhu	2021-07-20
6f28c0c	Donghe-Zhu	2021-07-20
db1e7b7	Donghe-Zhu	2021-07-19
ff0575d	Donghe-Zhu	2021-07-19
5d60eac	Donghe-Zhu	2021-07-19
57d0420	Donghe-Zhu	2021-07-16
c1be8f6	Donghe-Zhu	2021-07-16
26a7c15	Donghe-Zhu	2021-07-16
046902b	Donghe-Zhu	2021-07-16
3d4ac14	Donghe-Zhu	2021-07-15
be6fff9	Donghe-Zhu	2021-07-15
b473472	Donghe-Zhu	2021-07-15
363270a	Donghe-Zhu	2021-07-15
8b75a03	Donghe-Zhu	2021-07-15
a01e135	Donghe-Zhu	2021-07-07
bc83ef2	Donghe-Zhu	2021-07-07
75e7b07	Donghe-Zhu	2021-07-06
697aa6d	Donghe-Zhu	2021-07-06
d52e2de	Donghe-Zhu	2021-07-06
f2bde6b	Donghe-Zhu	2021-07-06
1133f28	Donghe-Zhu	2021-07-06
fe3a1cd	Donghe-Zhu	2021-07-06
d9cdf15	Donghe-Zhu	2021-07-06
ee4cd2d	Donghe-Zhu	2021-07-06
93821c1	Donghe-Zhu	2021-07-05
d44db8e	Donghe-Zhu	2021-07-05
20b3436	Donghe-Zhu	2021-07-05
d982ea5	Donghe-Zhu	2021-07-05
7397e53	Donghe-Zhu	2021-07-05
f2e4805	Donghe-Zhu	2021-07-05
e2d011a	Donghe-Zhu	2021-07-05
85e0349	Donghe-Zhu	2021-07-05
6ee0146	Donghe-Zhu	2021-07-05
a482a6b	Donghe-Zhu	2021-07-05
f59f1b3	Donghe-Zhu	2021-07-05
116bcab	Donghe-Zhu	2021-07-04
cb1c8dc	Donghe-Zhu	2021-07-04
c9bdd83	Donghe-Zhu	2021-07-04
1920ad9	Donghe-Zhu	2021-07-04
0b02791	Donghe-Zhu	2021-06-25
caf62d8	Donghe-Zhu	2021-06-25
90a9da5	Donghe-Zhu	2021-06-25
bb413c8	Donghe-Zhu	2021-06-25
e7a5266	Donghe-Zhu	2021-06-24
7c57720	Donghe-Zhu	2021-06-24
b5b95a9	Donghe-Zhu	2021-06-24
472aad4	Donghe-Zhu	2021-06-24
d517836	Donghe-Zhu	2021-06-24
9221bfe	Donghe-Zhu	2021-06-24
bff5fbf	Donghe-Zhu	2021-06-23
256a616	Donghe-Zhu	2021-06-23
00072e2	Donghe-Zhu	2021-06-23
7431530	Donghe-Zhu	2021-06-20
d20c383	Donghe-Zhu	2021-06-18
b0874a2	Donghe-Zhu	2021-06-17
72c2f2e	Donghe-Zhu	2021-06-15
d97dcb6	Donghe-Zhu	2021-06-08
25dda1d	Donghe-Zhu	2021-06-08
bd2bcc3	Donghe-Zhu	2021-06-08
e9b27d7	Donghe-Zhu	2021-06-07
7ae0d4b	Donghe-Zhu	2021-06-07
325391f	Donghe-Zhu	2021-06-07
ed89970	Donghe-Zhu	2021-06-07
df37958	Donghe-Zhu	2021-06-07
812bf63	Donghe-Zhu	2021-06-06
65c89c8	Donghe-Zhu	2021-06-06
9baa3b2	Donghe-Zhu	2021-06-06
b7d99cf	Donghe-Zhu	2021-06-06
5d8fa90	Donghe-Zhu	2021-06-06
dbe2a95	Donghe-Zhu	2021-05-28
d50b039	Donghe-Zhu	2021-05-28
441ebe5	Donghe-Zhu	2021-05-28
6262ad3	Donghe-Zhu	2021-05-28
a61aa77	Donghe-Zhu	2021-05-28
b8dbce4	Donghe-Zhu	2021-05-28
94a833e	Donghe-Zhu	2021-05-27
5e0bd64	Donghe-Zhu	2021-05-27
af1eadd	Donghe-Zhu	2021-05-27
9179bfe	Donghe-Zhu	2021-05-27
28cbe5e	Donghe-Zhu	2021-05-27
a618f02	Donghe-Zhu	2021-05-27
4623e38	Donghe-Zhu	2021-05-27
b81bb49	Donghe-Zhu	2021-05-27
951e188	Donghe-Zhu	2021-05-27
e377833	Donghe-Zhu	2021-05-26
2705a04	Donghe-Zhu	2021-03-28
cd5f759	Donghe-Zhu	2021-03-28
75dda4d	Donghe-Zhu	2021-03-27
0b19f6e	Donghe-Zhu	2021-03-27
e2704ca	Donghe-Zhu	2021-03-27
3061a0b	Donghe-Zhu	2021-03-27
b883157	Donghe-Zhu	2021-03-27
d19654d	Donghe-Zhu	2021-03-26
6c53dbf	Donghe-Zhu	2021-03-25
1914a11	Donghe-Zhu	2021-03-24
8be810e	Donghe-Zhu	2021-03-23
bf19764	Donghe-Zhu	2021-03-22
3ec9d3d	Donghe-Zhu	2021-03-22
134ace1	Donghe-Zhu	2021-03-22
f6d70a4	Donghe-Zhu	2021-03-22
183443b	Donghe-Zhu	2021-03-21
2e6976b	Donghe-Zhu	2021-03-21
51a42bd	Donghe-Zhu	2021-03-16
f745381	Donghe-Zhu	2021-03-16
aecbf75	Donghe-Zhu	2021-03-14
1b2a0c2	Donghe-Zhu	2021-03-14
6733e48	Donghe-Zhu	2021-03-12
ba71e6a	Donghe-Zhu	2021-03-12
9dbf5bd	Donghe-Zhu	2021-03-11
a49df30	Donghe-Zhu	2021-03-11
b3348a5	Donghe-Zhu	2021-03-11
1c24ff7	Donghe-Zhu	2021-03-10
94ce5a8	Donghe-Zhu	2021-03-10
db33928	Donghe-Zhu	2021-03-10
3d1f470	Donghe-Zhu	2021-03-10
9b7bc66	Donghe-Zhu	2021-03-10
5365f80	Donghe-Zhu	2021-03-10
2b6c392	Donghe-Zhu	2021-03-10
9f58753	Donghe-Zhu	2021-03-10
9d5a62c	Donghe-Zhu	2021-03-10
5d1e70b	Donghe-Zhu	2021-03-10
2093979	Donghe-Zhu	2021-03-10
b865899	Donghe-Zhu	2021-03-10
cc2a956	Donghe-Zhu	2021-03-10
dba33c8	Donghe-Zhu	2021-03-09
17f1c4a	Donghe-Zhu	2021-03-09
c024d1a	Donghe-Zhu	2021-03-09
02f7242	Donghe-Zhu	2021-03-09
1691156	Donghe-Zhu	2021-03-08
c0ceaf8	Donghe-Zhu	2021-03-08
058e0a1	Donghe-Zhu	2021-03-08
112dea0	Donghe-Zhu	2021-03-08
1843412	Donghe-Zhu	2021-03-08
3fbbfa4	Donghe-Zhu	2021-03-07
627c8fb	Donghe-Zhu	2021-03-07
9ef3222	Donghe-Zhu	2021-03-05
8c1e978	Donghe-Zhu	2021-03-05
865f68c	Donghe-Zhu	2021-03-05
ee69bc1	Donghe-Zhu	2021-03-05
a79291f	Donghe-Zhu	2021-03-05
e8c6f30	Donghe-Zhu	2021-03-04
59288fe	Donghe-Zhu	2021-03-04
731abc8	Donghe-Zhu	2021-03-04
e2a5a33	Donghe-Zhu	2021-03-04
c7892c1	Donghe-Zhu	2021-03-04
924430b	Donghe-Zhu	2021-03-03
0d0bca1	Donghe-Zhu	2021-03-03
cb63c16	Donghe-Zhu	2021-03-03
ffda45a	Donghe-Zhu	2021-03-03
691ba81	Donghe-Zhu	2021-03-03
c5e45a2	Donghe-Zhu	2021-03-03
89c3e58	Donghe-Zhu	2021-03-03
c911669	Donghe-Zhu	2021-03-03
13666ca	Donghe-Zhu	2021-03-01
c6e60fe	Donghe-Zhu	2021-03-01
7a388f7	Donghe-Zhu	2021-03-01
799e913	Donghe-Zhu	2021-03-01
66ff99f	Donghe-Zhu	2021-03-01
ac9bb7a	Donghe-Zhu	2021-02-28
efdc047	Donghe-Zhu	2021-02-28
e9a7418	Donghe-Zhu	2021-02-28
287123c	Donghe-Zhu	2021-02-27
54d5b5b	Donghe-Zhu	2021-02-27
330f064	Donghe-Zhu	2021-02-27
adbc9bc	Donghe-Zhu	2021-02-27
5937141	Donghe-Zhu	2021-02-27
4414bbf	Donghe-Zhu	2021-02-27
a265efb	Donghe-Zhu	2021-02-27
19edd1e	Donghe-Zhu	2021-02-27
f20483f	Donghe-Zhu	2021-02-26
6a2c7b3	Donghe-Zhu	2021-02-25
02b976d	Donghe-Zhu	2021-02-24
354c224	Donghe-Zhu	2021-02-24
1a0a88a	Donghe-Zhu	2021-02-24
57f701e	Donghe-Zhu	2021-02-24
06f3149	Donghe-Zhu	2021-02-16
e3bba84	Donghe-Zhu	2021-02-15
5dce4b1	Donghe-Zhu	2021-02-15
4469a0c	Donghe-Zhu	2021-02-13
5ae6a69	Donghe-Zhu	2021-02-10
05385dc	Donghe-Zhu	2021-02-10
f791ae4	Donghe-Zhu	2021-02-09
f71ae34	Donghe-Zhu	2021-02-09
c011832	Donghe-Zhu	2021-02-09
a145fa7	Donghe-Zhu	2021-02-09
c344e42	Donghe-Zhu	2021-02-08
2f095d7	Donghe-Zhu	2021-02-07
1fad5f1	Donghe-Zhu	2021-02-07
ca03c39	Donghe-Zhu	2021-02-07
cd7c52c	Donghe-Zhu	2021-02-04
bcf84f4	Donghe-Zhu	2021-02-02
61666de	Donghe-Zhu	2021-01-31
865b582	Donghe-Zhu	2021-01-31
3e68089	Donghe-Zhu	2021-01-31
ecf335c	Donghe-Zhu	2021-01-31
a618965	Donghe-Zhu	2021-01-31
59e006e	Donghe-Zhu	2021-01-31
a1c8f87	Donghe-Zhu	2021-01-31
ae5c18f	Donghe-Zhu	2021-01-31
b50fe52	Donghe-Zhu	2021-01-31
ac99ae5	jens-daniel-mueller	2021-01-29
b5bdcaf	Donghe-Zhu	2021-01-29
442010d	Donghe-Zhu	2021-01-29
372adf5	Donghe-Zhu	2021-01-29
af8788e	Donghe-Zhu	2021-01-29
21c91c9	Donghe-Zhu	2021-01-29
eded038	Donghe-Zhu	2021-01-29
541d4dd	Donghe-Zhu	2021-01-29
6a75576	Donghe-Zhu	2021-01-28
16fba40	Donghe-Zhu	2021-01-28
12bc567	Donghe-Zhu	2021-01-27
ceed31b	Donghe-Zhu	2021-01-27
342402d	Donghe-Zhu	2021-01-27
5bad5c2	Donghe-Zhu	2021-01-27
61efb56	Donghe-Zhu	2021-01-25
48f638e	Donghe-Zhu	2021-01-25
c1cec47	Donghe-Zhu	2021-01-25
05ffb0c	Donghe-Zhu	2021-01-25
8b97165	Donghe-Zhu	2021-01-25
c569946	Donghe-Zhu	2021-01-24
a2f0d56	Donghe-Zhu	2021-01-23
28509fc	Donghe-Zhu	2021-01-23
4c28e4a	Donghe-Zhu	2021-01-22
24cc264	jens-daniel-mueller	2021-01-22
7891955	Donghe-Zhu	2021-01-21
d4cf1cb	Donghe-Zhu	2021-01-21
1f3e5b6	jens-daniel-mueller	2021-01-20
0e7bdf1	jens-daniel-mueller	2021-01-15
4571843	jens-daniel-mueller	2021-01-14
b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
7cdea0c	jens-daniel-mueller	2021-01-06
fa85b93	jens-daniel-mueller	2021-01-06
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
fb8a752	Donghe-Zhu	2020-12-23
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

rm(max_rmse)

6.2.2 Best models

# find max rmse to scale axis
max_rmse <-
  max(c(lm_best$rmse,
        lm_best$rmse_sum - lm_best$rmse))

lm_best %>%
  ggplot(aes(rmse, rmse_sum - rmse, col = gamma_slab)) +
  geom_point() +
  scale_color_viridis_d() +
  coord_equal(xlim = c(0,max_rmse),
              ylim = c(0,max_rmse)) +
  facet_grid(eras ~ basin)

Past versions of rmse_correlation_across_eras_best_models-1.png

Version	Author	Date
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
50f0a16	Donghe-Zhu	2021-07-31
1682579	Donghe-Zhu	2021-07-31
9fa8832	Donghe-Zhu	2021-07-31
4abf542	Donghe-Zhu	2021-07-31
a2483f0	Donghe-Zhu	2021-07-31
3300527	Donghe-Zhu	2021-07-31
afeb6fd	Donghe-Zhu	2021-07-31
cb3ef32	Donghe-Zhu	2021-07-31
6528618	Donghe-Zhu	2021-07-31
f50925e	Donghe-Zhu	2021-07-31
f4de2f3	Donghe-Zhu	2021-07-30
43bc7b4	Donghe-Zhu	2021-07-30
f8c34a8	Donghe-Zhu	2021-07-30
4f897c4	Donghe-Zhu	2021-07-30
0f6e960	Donghe-Zhu	2021-07-30
fe067ea	Donghe-Zhu	2021-07-30
fbca39a	Donghe-Zhu	2021-07-30
f945f95	Donghe-Zhu	2021-07-30
a3006cd	Donghe-Zhu	2021-07-30
a55ffdc	Donghe-Zhu	2021-07-30
d5e4458	Donghe-Zhu	2021-07-30
10a97ef	Donghe-Zhu	2021-07-30
1c501fd	Donghe-Zhu	2021-07-30
68bce3f	Donghe-Zhu	2021-07-30
400c457	Donghe-Zhu	2021-07-29
3ba7852	Donghe-Zhu	2021-07-29
ec68363	Donghe-Zhu	2021-07-28
d3018f6	Donghe-Zhu	2021-07-28
b8ba2c4	Donghe-Zhu	2021-07-28
a4ddd84	Donghe-Zhu	2021-07-27
7ef49ab	Donghe-Zhu	2021-07-27
da818c0	Donghe-Zhu	2021-07-27
8623898	Donghe-Zhu	2021-07-27
f84b77c	Donghe-Zhu	2021-07-27
70ad9a5	Donghe-Zhu	2021-07-27
0d0b48d	Donghe-Zhu	2021-07-27
d0d97c6	Donghe-Zhu	2021-07-27
829510d	Donghe-Zhu	2021-07-27
780627d	Donghe-Zhu	2021-07-27
e9838c9	Donghe-Zhu	2021-07-27
2777f33	Donghe-Zhu	2021-07-27
d19760f	Donghe-Zhu	2021-07-27
cac5680	Donghe-Zhu	2021-07-23
7bb279a	Donghe-Zhu	2021-07-23
d52eac4	Donghe-Zhu	2021-07-23
dcf34b1	Donghe-Zhu	2021-07-23
419cb72	Donghe-Zhu	2021-07-22
9447d10	Donghe-Zhu	2021-07-22
639c9a0	Donghe-Zhu	2021-07-22
25bb96f	Donghe-Zhu	2021-07-22
cdc98a3	Donghe-Zhu	2021-07-22
e4805a1	Donghe-Zhu	2021-07-22
7957fd1	Donghe-Zhu	2021-07-21
b94be4e	Donghe-Zhu	2021-07-21
9950e70	Donghe-Zhu	2021-07-21
698b6f0	Donghe-Zhu	2021-07-20
d84a1cb	Donghe-Zhu	2021-07-20
4dce223	Donghe-Zhu	2021-07-20
6f28c0c	Donghe-Zhu	2021-07-20
db1e7b7	Donghe-Zhu	2021-07-19
ff0575d	Donghe-Zhu	2021-07-19
5d60eac	Donghe-Zhu	2021-07-19
57d0420	Donghe-Zhu	2021-07-16
c1be8f6	Donghe-Zhu	2021-07-16
26a7c15	Donghe-Zhu	2021-07-16
046902b	Donghe-Zhu	2021-07-16
3d4ac14	Donghe-Zhu	2021-07-15
be6fff9	Donghe-Zhu	2021-07-15
b473472	Donghe-Zhu	2021-07-15
363270a	Donghe-Zhu	2021-07-15
8b75a03	Donghe-Zhu	2021-07-15
a01e135	Donghe-Zhu	2021-07-07
bc83ef2	Donghe-Zhu	2021-07-07
75e7b07	Donghe-Zhu	2021-07-06
697aa6d	Donghe-Zhu	2021-07-06
d52e2de	Donghe-Zhu	2021-07-06
f2bde6b	Donghe-Zhu	2021-07-06
1133f28	Donghe-Zhu	2021-07-06
fe3a1cd	Donghe-Zhu	2021-07-06
d9cdf15	Donghe-Zhu	2021-07-06
ee4cd2d	Donghe-Zhu	2021-07-06
93821c1	Donghe-Zhu	2021-07-05
d44db8e	Donghe-Zhu	2021-07-05
20b3436	Donghe-Zhu	2021-07-05
d982ea5	Donghe-Zhu	2021-07-05
7397e53	Donghe-Zhu	2021-07-05
f2e4805	Donghe-Zhu	2021-07-05
e2d011a	Donghe-Zhu	2021-07-05
85e0349	Donghe-Zhu	2021-07-05
6ee0146	Donghe-Zhu	2021-07-05
a482a6b	Donghe-Zhu	2021-07-05
f59f1b3	Donghe-Zhu	2021-07-05
116bcab	Donghe-Zhu	2021-07-04
cb1c8dc	Donghe-Zhu	2021-07-04
c9bdd83	Donghe-Zhu	2021-07-04
1920ad9	Donghe-Zhu	2021-07-04
0b02791	Donghe-Zhu	2021-06-25
caf62d8	Donghe-Zhu	2021-06-25
90a9da5	Donghe-Zhu	2021-06-25
bb413c8	Donghe-Zhu	2021-06-25
e7a5266	Donghe-Zhu	2021-06-24
7c57720	Donghe-Zhu	2021-06-24
b5b95a9	Donghe-Zhu	2021-06-24
472aad4	Donghe-Zhu	2021-06-24
d517836	Donghe-Zhu	2021-06-24
9221bfe	Donghe-Zhu	2021-06-24
bff5fbf	Donghe-Zhu	2021-06-23
256a616	Donghe-Zhu	2021-06-23
00072e2	Donghe-Zhu	2021-06-23
7431530	Donghe-Zhu	2021-06-20
d20c383	Donghe-Zhu	2021-06-18
b0874a2	Donghe-Zhu	2021-06-17
72c2f2e	Donghe-Zhu	2021-06-15
d97dcb6	Donghe-Zhu	2021-06-08
25dda1d	Donghe-Zhu	2021-06-08
bd2bcc3	Donghe-Zhu	2021-06-08
e9b27d7	Donghe-Zhu	2021-06-07
7ae0d4b	Donghe-Zhu	2021-06-07
325391f	Donghe-Zhu	2021-06-07
ed89970	Donghe-Zhu	2021-06-07
df37958	Donghe-Zhu	2021-06-07
812bf63	Donghe-Zhu	2021-06-06
65c89c8	Donghe-Zhu	2021-06-06
9baa3b2	Donghe-Zhu	2021-06-06
b7d99cf	Donghe-Zhu	2021-06-06
5d8fa90	Donghe-Zhu	2021-06-06
dbe2a95	Donghe-Zhu	2021-05-28
d50b039	Donghe-Zhu	2021-05-28
441ebe5	Donghe-Zhu	2021-05-28
6262ad3	Donghe-Zhu	2021-05-28
a61aa77	Donghe-Zhu	2021-05-28
b8dbce4	Donghe-Zhu	2021-05-28
94a833e	Donghe-Zhu	2021-05-27
5e0bd64	Donghe-Zhu	2021-05-27
af1eadd	Donghe-Zhu	2021-05-27
9179bfe	Donghe-Zhu	2021-05-27
28cbe5e	Donghe-Zhu	2021-05-27
a618f02	Donghe-Zhu	2021-05-27
4623e38	Donghe-Zhu	2021-05-27
b81bb49	Donghe-Zhu	2021-05-27
951e188	Donghe-Zhu	2021-05-27
e377833	Donghe-Zhu	2021-05-26
2705a04	Donghe-Zhu	2021-03-28
cd5f759	Donghe-Zhu	2021-03-28
75dda4d	Donghe-Zhu	2021-03-27
0b19f6e	Donghe-Zhu	2021-03-27
e2704ca	Donghe-Zhu	2021-03-27
3061a0b	Donghe-Zhu	2021-03-27
b883157	Donghe-Zhu	2021-03-27
d19654d	Donghe-Zhu	2021-03-26
6c53dbf	Donghe-Zhu	2021-03-25
1914a11	Donghe-Zhu	2021-03-24
8be810e	Donghe-Zhu	2021-03-23
bf19764	Donghe-Zhu	2021-03-22
3ec9d3d	Donghe-Zhu	2021-03-22
134ace1	Donghe-Zhu	2021-03-22
f6d70a4	Donghe-Zhu	2021-03-22
183443b	Donghe-Zhu	2021-03-21
2e6976b	Donghe-Zhu	2021-03-21
51a42bd	Donghe-Zhu	2021-03-16
f745381	Donghe-Zhu	2021-03-16
aecbf75	Donghe-Zhu	2021-03-14
1b2a0c2	Donghe-Zhu	2021-03-14
6733e48	Donghe-Zhu	2021-03-12
ba71e6a	Donghe-Zhu	2021-03-12
9dbf5bd	Donghe-Zhu	2021-03-11
a49df30	Donghe-Zhu	2021-03-11
b3348a5	Donghe-Zhu	2021-03-11
1c24ff7	Donghe-Zhu	2021-03-10
94ce5a8	Donghe-Zhu	2021-03-10
db33928	Donghe-Zhu	2021-03-10
3d1f470	Donghe-Zhu	2021-03-10
9b7bc66	Donghe-Zhu	2021-03-10
4168b43	Donghe-Zhu	2021-03-10
5365f80	Donghe-Zhu	2021-03-10
2b6c392	Donghe-Zhu	2021-03-10
9f58753	Donghe-Zhu	2021-03-10
fd528ed	Donghe-Zhu	2021-03-10
9d5a62c	Donghe-Zhu	2021-03-10
5d1e70b	Donghe-Zhu	2021-03-10
2093979	Donghe-Zhu	2021-03-10
b865899	Donghe-Zhu	2021-03-10
cc2a956	Donghe-Zhu	2021-03-10
60689fb	Donghe-Zhu	2021-03-10
dba33c8	Donghe-Zhu	2021-03-09
17f1c4a	Donghe-Zhu	2021-03-09
c024d1a	Donghe-Zhu	2021-03-09
02f7242	Donghe-Zhu	2021-03-09
6f50bc6	Donghe-Zhu	2021-03-09
1691156	Donghe-Zhu	2021-03-08
c0ceaf8	Donghe-Zhu	2021-03-08
058e0a1	Donghe-Zhu	2021-03-08
112dea0	Donghe-Zhu	2021-03-08
1843412	Donghe-Zhu	2021-03-08
3fbbfa4	Donghe-Zhu	2021-03-07
627c8fb	Donghe-Zhu	2021-03-07
9ef3222	Donghe-Zhu	2021-03-05
8c1e978	Donghe-Zhu	2021-03-05
865f68c	Donghe-Zhu	2021-03-05
ee69bc1	Donghe-Zhu	2021-03-05
a79291f	Donghe-Zhu	2021-03-05
e8c6f30	Donghe-Zhu	2021-03-04
59288fe	Donghe-Zhu	2021-03-04
731abc8	Donghe-Zhu	2021-03-04
e2a5a33	Donghe-Zhu	2021-03-04
c7892c1	Donghe-Zhu	2021-03-04
924430b	Donghe-Zhu	2021-03-03
0d0bca1	Donghe-Zhu	2021-03-03
cb63c16	Donghe-Zhu	2021-03-03
ffda45a	Donghe-Zhu	2021-03-03
691ba81	Donghe-Zhu	2021-03-03
c5e45a2	Donghe-Zhu	2021-03-03
89c3e58	Donghe-Zhu	2021-03-03
c407a50	Donghe-Zhu	2021-03-03
c911669	Donghe-Zhu	2021-03-03
b71c719	Donghe-Zhu	2021-03-01
13666ca	Donghe-Zhu	2021-03-01
c6e60fe	Donghe-Zhu	2021-03-01
7a388f7	Donghe-Zhu	2021-03-01
799e913	Donghe-Zhu	2021-03-01
66ff99f	Donghe-Zhu	2021-03-01
ac9bb7a	Donghe-Zhu	2021-02-28
efdc047	Donghe-Zhu	2021-02-28
e9a7418	Donghe-Zhu	2021-02-28
e152917	Donghe-Zhu	2021-02-28
287123c	Donghe-Zhu	2021-02-27
54d5b5b	Donghe-Zhu	2021-02-27
330f064	Donghe-Zhu	2021-02-27
adbc9bc	Donghe-Zhu	2021-02-27
5937141	Donghe-Zhu	2021-02-27
4414bbf	Donghe-Zhu	2021-02-27
a265efb	Donghe-Zhu	2021-02-27
19edd1e	Donghe-Zhu	2021-02-27
f20483f	Donghe-Zhu	2021-02-26
6a2c7b3	Donghe-Zhu	2021-02-25
354c224	Donghe-Zhu	2021-02-24
1a0a88a	Donghe-Zhu	2021-02-24
57f701e	Donghe-Zhu	2021-02-24
06f3149	Donghe-Zhu	2021-02-16
401eab3	Donghe-Zhu	2021-02-15
e3bba84	Donghe-Zhu	2021-02-15
5dce4b1	Donghe-Zhu	2021-02-15
4469a0c	Donghe-Zhu	2021-02-13
5ae6a69	Donghe-Zhu	2021-02-10
05385dc	Donghe-Zhu	2021-02-10
f791ae4	Donghe-Zhu	2021-02-09
f71ae34	Donghe-Zhu	2021-02-09
c011832	Donghe-Zhu	2021-02-09
a145fa7	Donghe-Zhu	2021-02-09
c344e42	Donghe-Zhu	2021-02-08
2f095d7	Donghe-Zhu	2021-02-07
1fad5f1	Donghe-Zhu	2021-02-07
ca03c39	Donghe-Zhu	2021-02-07
e2ffc14	Donghe-Zhu	2021-02-05
cd7c52c	Donghe-Zhu	2021-02-04
bcf84f4	Donghe-Zhu	2021-02-02
a518739	Donghe-Zhu	2021-02-01
61666de	Donghe-Zhu	2021-01-31
865b582	Donghe-Zhu	2021-01-31
3e68089	Donghe-Zhu	2021-01-31
ecf335c	Donghe-Zhu	2021-01-31
a618965	Donghe-Zhu	2021-01-31
59e006e	Donghe-Zhu	2021-01-31
a1c8f87	Donghe-Zhu	2021-01-31
ae5c18f	Donghe-Zhu	2021-01-31
b50fe52	Donghe-Zhu	2021-01-31
ac99ae5	jens-daniel-mueller	2021-01-29
b5bdcaf	Donghe-Zhu	2021-01-29
442010d	Donghe-Zhu	2021-01-29
372adf5	Donghe-Zhu	2021-01-29
af8788e	Donghe-Zhu	2021-01-29
21c91c9	Donghe-Zhu	2021-01-29
eded038	Donghe-Zhu	2021-01-29
541d4dd	Donghe-Zhu	2021-01-29
6a75576	Donghe-Zhu	2021-01-28
16fba40	Donghe-Zhu	2021-01-28
12bc567	Donghe-Zhu	2021-01-27
ceed31b	Donghe-Zhu	2021-01-27
342402d	Donghe-Zhu	2021-01-27
5bad5c2	Donghe-Zhu	2021-01-27
61efb56	Donghe-Zhu	2021-01-25
48f638e	Donghe-Zhu	2021-01-25
c1cec47	Donghe-Zhu	2021-01-25
05ffb0c	Donghe-Zhu	2021-01-25
8b97165	Donghe-Zhu	2021-01-25
c569946	Donghe-Zhu	2021-01-24
a2f0d56	Donghe-Zhu	2021-01-23
28509fc	Donghe-Zhu	2021-01-23
4c28e4a	Donghe-Zhu	2021-01-22
24cc264	jens-daniel-mueller	2021-01-22
7891955	Donghe-Zhu	2021-01-21
d4cf1cb	Donghe-Zhu	2021-01-21
1f3e5b6	jens-daniel-mueller	2021-01-20
0e7bdf1	jens-daniel-mueller	2021-01-15
4571843	jens-daniel-mueller	2021-01-14
b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
7cdea0c	jens-daniel-mueller	2021-01-06
fa85b93	jens-daniel-mueller	2021-01-06
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
fb8a752	Donghe-Zhu	2020-12-23
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

rm(max_rmse)

6.3 Predictor counts

The number of models where a particular predictor was included were counted for each basin, density slab and compared eras

# calculate cases of predictor used
lm_all_stats <- lm_best_long %>% 
  filter(term != "(Intercept)",
         delta_coeff != 0) %>% 
  group_by(basin, eras, gamma_slab) %>% 
  count(term) %>% 
  ungroup() %>% 
  pivot_wider(values_from = n,
              names_from = term,
              values_fill = 0)

# print table
lm_all_stats %>%
  gt(rowname_col = "gamma_slab",
     groupname_col = c("basin", "eras")) %>% 
  summary_rows(
    groups = TRUE,
    fns = list(total = "sum")
  )

	aou	nitrate	sal	temp
Atlantic - 1982-1999 --> 2000-2009
(-Inf,26]	6	6	7	7
(26,26.5]	6	6	7	7
(26.5,26.75]	6	6	7	7
(26.75,27]	7	7	6	6
(27,27.25]	7	7	6	6
(27.25,27.5]	7	7	6	6
(27.5,27.75]	7	7	6	6
(27.75,27.85]	7	7	6	6
(27.85,27.95]	7	7	6	6
(27.95,28.05]	7	7	6	6
(28.05,28.1]	7	7	6	6
(28.1,28.15]	7	7	6	6
(28.15,28.2]	7	7	6	6
(28.2, Inf]	7	7	6	6
total	95.00	95.00	87.00	87.00
Atlantic - 2000-2009 --> 2010-2019
(-Inf,26]	6	6	7	7
(26,26.5]	6	6	7	7
(26.5,26.75]	6	6	7	7
(26.75,27]	7	7	6	6
(27,27.25]	7	7	6	6
(27.25,27.5]	7	7	6	6
(27.5,27.75]	7	7	6	6
(27.75,27.85]	7	7	6	6
(27.85,27.95]	7	7	6	6
(27.95,28.05]	7	7	6	6
(28.05,28.1]	7	7	6	6
(28.1,28.15]	7	7	6	6
(28.15,28.2]	7	7	6	6
(28.2, Inf]	7	7	6	6
total	95.00	95.00	87.00	87.00
Indo-Pacific - 1982-1999 --> 2000-2009
(-Inf,26]	7	6	7	6
(26,26.5]	7	7	6	6
(26.5,26.75]	7	7	6	6
(26.75,27]	7	7	6	6
(27,27.25]	7	7	6	6
(27.25,27.5]	7	7	6	6
(27.5,27.75]	7	7	6	6
(27.75,27.85]	7	7	6	6
(27.85,27.95]	7	7	6	6
(27.95,28.05]	7	7	6	6
(28.05,28.1]	7	7	6	6
(28.1,28.2]	7	6	6	7
(28.2,28.3]	6	7	6	7
(28.3, Inf]	6	6	6	7
total	96.00	95.00	85.00	87.00
Indo-Pacific - 2000-2009 --> 2010-2019
(-Inf,26]	7	6	7	6
(26,26.5]	7	6	7	6
(26.5,26.75]	7	6	7	6
(26.75,27]	7	6	6	7
(27,27.25]	7	6	6	7
(27.25,27.5]	7	7	6	6
(27.5,27.75]	7	7	6	6
(27.75,27.85]	7	7	6	6
(27.85,27.95]	7	7	6	6
(27.95,28.05]	7	7	6	6
(28.05,28.1]	7	7	6	6
(28.1,28.2]	7	6	7	6
(28.2,28.3]	7	7	6	6
(28.3, Inf]	1	1	3	1
total	92.00	86.00	85.00	81.00

6.4 RMSE alternatives

AIC is an alternative criterion to RMSE to judge model quality, but not (yet) taken into account.

lm_all_fitted_wide_eras %>% 
  ggplot(aes(rmse, aic, col = gamma_slab)) +
  geom_point() +
  scale_color_viridis_d() +
  facet_grid(eras~basin)

Past versions of aic_vs_rmse_all_models-1.png

Version	Author	Date
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
50f0a16	Donghe-Zhu	2021-07-31
1682579	Donghe-Zhu	2021-07-31
9fa8832	Donghe-Zhu	2021-07-31
4abf542	Donghe-Zhu	2021-07-31
a2483f0	Donghe-Zhu	2021-07-31
3300527	Donghe-Zhu	2021-07-31
afeb6fd	Donghe-Zhu	2021-07-31
cb3ef32	Donghe-Zhu	2021-07-31
6528618	Donghe-Zhu	2021-07-31
f50925e	Donghe-Zhu	2021-07-31
f4de2f3	Donghe-Zhu	2021-07-30
43bc7b4	Donghe-Zhu	2021-07-30
f8c34a8	Donghe-Zhu	2021-07-30
4f897c4	Donghe-Zhu	2021-07-30
0f6e960	Donghe-Zhu	2021-07-30
fe067ea	Donghe-Zhu	2021-07-30
fbca39a	Donghe-Zhu	2021-07-30
f945f95	Donghe-Zhu	2021-07-30
a3006cd	Donghe-Zhu	2021-07-30
a55ffdc	Donghe-Zhu	2021-07-30
d5e4458	Donghe-Zhu	2021-07-30
10a97ef	Donghe-Zhu	2021-07-30
1c501fd	Donghe-Zhu	2021-07-30
68bce3f	Donghe-Zhu	2021-07-30
400c457	Donghe-Zhu	2021-07-29
3ba7852	Donghe-Zhu	2021-07-29
ec68363	Donghe-Zhu	2021-07-28
d3018f6	Donghe-Zhu	2021-07-28
b8ba2c4	Donghe-Zhu	2021-07-28
a4ddd84	Donghe-Zhu	2021-07-27
7ef49ab	Donghe-Zhu	2021-07-27
da818c0	Donghe-Zhu	2021-07-27
8623898	Donghe-Zhu	2021-07-27
f84b77c	Donghe-Zhu	2021-07-27
70ad9a5	Donghe-Zhu	2021-07-27
0d0b48d	Donghe-Zhu	2021-07-27
d0d97c6	Donghe-Zhu	2021-07-27
829510d	Donghe-Zhu	2021-07-27
780627d	Donghe-Zhu	2021-07-27
e9838c9	Donghe-Zhu	2021-07-27
2777f33	Donghe-Zhu	2021-07-27
d19760f	Donghe-Zhu	2021-07-27
cac5680	Donghe-Zhu	2021-07-23
7bb279a	Donghe-Zhu	2021-07-23
d52eac4	Donghe-Zhu	2021-07-23
dcf34b1	Donghe-Zhu	2021-07-23
419cb72	Donghe-Zhu	2021-07-22
9447d10	Donghe-Zhu	2021-07-22
639c9a0	Donghe-Zhu	2021-07-22
25bb96f	Donghe-Zhu	2021-07-22
cdc98a3	Donghe-Zhu	2021-07-22
e4805a1	Donghe-Zhu	2021-07-22
7957fd1	Donghe-Zhu	2021-07-21
b94be4e	Donghe-Zhu	2021-07-21
9950e70	Donghe-Zhu	2021-07-21
698b6f0	Donghe-Zhu	2021-07-20
d84a1cb	Donghe-Zhu	2021-07-20
4dce223	Donghe-Zhu	2021-07-20
6f28c0c	Donghe-Zhu	2021-07-20
db1e7b7	Donghe-Zhu	2021-07-19
ff0575d	Donghe-Zhu	2021-07-19
5d60eac	Donghe-Zhu	2021-07-19
57d0420	Donghe-Zhu	2021-07-16
c1be8f6	Donghe-Zhu	2021-07-16
26a7c15	Donghe-Zhu	2021-07-16
046902b	Donghe-Zhu	2021-07-16
3d4ac14	Donghe-Zhu	2021-07-15
be6fff9	Donghe-Zhu	2021-07-15
b473472	Donghe-Zhu	2021-07-15
363270a	Donghe-Zhu	2021-07-15
8b75a03	Donghe-Zhu	2021-07-15
a01e135	Donghe-Zhu	2021-07-07
bc83ef2	Donghe-Zhu	2021-07-07
75e7b07	Donghe-Zhu	2021-07-06
697aa6d	Donghe-Zhu	2021-07-06
d52e2de	Donghe-Zhu	2021-07-06
f2bde6b	Donghe-Zhu	2021-07-06
1133f28	Donghe-Zhu	2021-07-06
fe3a1cd	Donghe-Zhu	2021-07-06
d9cdf15	Donghe-Zhu	2021-07-06
ee4cd2d	Donghe-Zhu	2021-07-06
93821c1	Donghe-Zhu	2021-07-05
d44db8e	Donghe-Zhu	2021-07-05
20b3436	Donghe-Zhu	2021-07-05
d982ea5	Donghe-Zhu	2021-07-05
7397e53	Donghe-Zhu	2021-07-05
f2e4805	Donghe-Zhu	2021-07-05
e2d011a	Donghe-Zhu	2021-07-05
85e0349	Donghe-Zhu	2021-07-05
6ee0146	Donghe-Zhu	2021-07-05
a482a6b	Donghe-Zhu	2021-07-05
f59f1b3	Donghe-Zhu	2021-07-05
116bcab	Donghe-Zhu	2021-07-04
cb1c8dc	Donghe-Zhu	2021-07-04
c9bdd83	Donghe-Zhu	2021-07-04
1920ad9	Donghe-Zhu	2021-07-04
0b02791	Donghe-Zhu	2021-06-25
caf62d8	Donghe-Zhu	2021-06-25
90a9da5	Donghe-Zhu	2021-06-25
bb413c8	Donghe-Zhu	2021-06-25
e7a5266	Donghe-Zhu	2021-06-24
7c57720	Donghe-Zhu	2021-06-24
b5b95a9	Donghe-Zhu	2021-06-24
472aad4	Donghe-Zhu	2021-06-24
d517836	Donghe-Zhu	2021-06-24
9221bfe	Donghe-Zhu	2021-06-24
bff5fbf	Donghe-Zhu	2021-06-23
256a616	Donghe-Zhu	2021-06-23
00072e2	Donghe-Zhu	2021-06-23
7431530	Donghe-Zhu	2021-06-20
d20c383	Donghe-Zhu	2021-06-18
b0874a2	Donghe-Zhu	2021-06-17
72c2f2e	Donghe-Zhu	2021-06-15
d97dcb6	Donghe-Zhu	2021-06-08
25dda1d	Donghe-Zhu	2021-06-08
bd2bcc3	Donghe-Zhu	2021-06-08
e9b27d7	Donghe-Zhu	2021-06-07
7ae0d4b	Donghe-Zhu	2021-06-07
325391f	Donghe-Zhu	2021-06-07
ed89970	Donghe-Zhu	2021-06-07
df37958	Donghe-Zhu	2021-06-07
812bf63	Donghe-Zhu	2021-06-06
65c89c8	Donghe-Zhu	2021-06-06
9baa3b2	Donghe-Zhu	2021-06-06
b7d99cf	Donghe-Zhu	2021-06-06
5d8fa90	Donghe-Zhu	2021-06-06
dbe2a95	Donghe-Zhu	2021-05-28
d50b039	Donghe-Zhu	2021-05-28
441ebe5	Donghe-Zhu	2021-05-28
6262ad3	Donghe-Zhu	2021-05-28
a61aa77	Donghe-Zhu	2021-05-28
b8dbce4	Donghe-Zhu	2021-05-28
94a833e	Donghe-Zhu	2021-05-27
5e0bd64	Donghe-Zhu	2021-05-27
af1eadd	Donghe-Zhu	2021-05-27
9179bfe	Donghe-Zhu	2021-05-27
28cbe5e	Donghe-Zhu	2021-05-27
a618f02	Donghe-Zhu	2021-05-27
4623e38	Donghe-Zhu	2021-05-27
b81bb49	Donghe-Zhu	2021-05-27
951e188	Donghe-Zhu	2021-05-27
e377833	Donghe-Zhu	2021-05-26
2705a04	Donghe-Zhu	2021-03-28
cd5f759	Donghe-Zhu	2021-03-28
75dda4d	Donghe-Zhu	2021-03-27
0b19f6e	Donghe-Zhu	2021-03-27
e2704ca	Donghe-Zhu	2021-03-27
3061a0b	Donghe-Zhu	2021-03-27
b883157	Donghe-Zhu	2021-03-27
d19654d	Donghe-Zhu	2021-03-26
6c53dbf	Donghe-Zhu	2021-03-25
1914a11	Donghe-Zhu	2021-03-24
8be810e	Donghe-Zhu	2021-03-23
bf19764	Donghe-Zhu	2021-03-22
3ec9d3d	Donghe-Zhu	2021-03-22
134ace1	Donghe-Zhu	2021-03-22
f6d70a4	Donghe-Zhu	2021-03-22
183443b	Donghe-Zhu	2021-03-21
2e6976b	Donghe-Zhu	2021-03-21
51a42bd	Donghe-Zhu	2021-03-16
f745381	Donghe-Zhu	2021-03-16
aecbf75	Donghe-Zhu	2021-03-14
1b2a0c2	Donghe-Zhu	2021-03-14
6733e48	Donghe-Zhu	2021-03-12
ba71e6a	Donghe-Zhu	2021-03-12
9dbf5bd	Donghe-Zhu	2021-03-11
a49df30	Donghe-Zhu	2021-03-11
b3348a5	Donghe-Zhu	2021-03-11
1c24ff7	Donghe-Zhu	2021-03-10
94ce5a8	Donghe-Zhu	2021-03-10
db33928	Donghe-Zhu	2021-03-10
3d1f470	Donghe-Zhu	2021-03-10
9b7bc66	Donghe-Zhu	2021-03-10
5365f80	Donghe-Zhu	2021-03-10
2b6c392	Donghe-Zhu	2021-03-10
9f58753	Donghe-Zhu	2021-03-10
9d5a62c	Donghe-Zhu	2021-03-10
5d1e70b	Donghe-Zhu	2021-03-10
2093979	Donghe-Zhu	2021-03-10
b865899	Donghe-Zhu	2021-03-10
cc2a956	Donghe-Zhu	2021-03-10
dba33c8	Donghe-Zhu	2021-03-09
17f1c4a	Donghe-Zhu	2021-03-09
c024d1a	Donghe-Zhu	2021-03-09
02f7242	Donghe-Zhu	2021-03-09
1691156	Donghe-Zhu	2021-03-08
c0ceaf8	Donghe-Zhu	2021-03-08
058e0a1	Donghe-Zhu	2021-03-08
112dea0	Donghe-Zhu	2021-03-08
1843412	Donghe-Zhu	2021-03-08
3fbbfa4	Donghe-Zhu	2021-03-07
627c8fb	Donghe-Zhu	2021-03-07
9ef3222	Donghe-Zhu	2021-03-05
8c1e978	Donghe-Zhu	2021-03-05
865f68c	Donghe-Zhu	2021-03-05
ee69bc1	Donghe-Zhu	2021-03-05
a79291f	Donghe-Zhu	2021-03-05
e8c6f30	Donghe-Zhu	2021-03-04
59288fe	Donghe-Zhu	2021-03-04
731abc8	Donghe-Zhu	2021-03-04
e2a5a33	Donghe-Zhu	2021-03-04
c7892c1	Donghe-Zhu	2021-03-04
924430b	Donghe-Zhu	2021-03-03
0d0bca1	Donghe-Zhu	2021-03-03
cb63c16	Donghe-Zhu	2021-03-03
ffda45a	Donghe-Zhu	2021-03-03
691ba81	Donghe-Zhu	2021-03-03
c5e45a2	Donghe-Zhu	2021-03-03
89c3e58	Donghe-Zhu	2021-03-03
c911669	Donghe-Zhu	2021-03-03
13666ca	Donghe-Zhu	2021-03-01
c6e60fe	Donghe-Zhu	2021-03-01
7a388f7	Donghe-Zhu	2021-03-01
799e913	Donghe-Zhu	2021-03-01
66ff99f	Donghe-Zhu	2021-03-01
ac9bb7a	Donghe-Zhu	2021-02-28
efdc047	Donghe-Zhu	2021-02-28
e9a7418	Donghe-Zhu	2021-02-28
287123c	Donghe-Zhu	2021-02-27
54d5b5b	Donghe-Zhu	2021-02-27
330f064	Donghe-Zhu	2021-02-27
adbc9bc	Donghe-Zhu	2021-02-27
5937141	Donghe-Zhu	2021-02-27
4414bbf	Donghe-Zhu	2021-02-27
a265efb	Donghe-Zhu	2021-02-27
19edd1e	Donghe-Zhu	2021-02-27
f20483f	Donghe-Zhu	2021-02-26
6a2c7b3	Donghe-Zhu	2021-02-25
02b976d	Donghe-Zhu	2021-02-24
354c224	Donghe-Zhu	2021-02-24
1a0a88a	Donghe-Zhu	2021-02-24
57f701e	Donghe-Zhu	2021-02-24
06f3149	Donghe-Zhu	2021-02-16
e3bba84	Donghe-Zhu	2021-02-15
5dce4b1	Donghe-Zhu	2021-02-15
4469a0c	Donghe-Zhu	2021-02-13
5ae6a69	Donghe-Zhu	2021-02-10
05385dc	Donghe-Zhu	2021-02-10
f791ae4	Donghe-Zhu	2021-02-09
f71ae34	Donghe-Zhu	2021-02-09
c011832	Donghe-Zhu	2021-02-09
a145fa7	Donghe-Zhu	2021-02-09
c344e42	Donghe-Zhu	2021-02-08
2f095d7	Donghe-Zhu	2021-02-07
1fad5f1	Donghe-Zhu	2021-02-07
ca03c39	Donghe-Zhu	2021-02-07
cd7c52c	Donghe-Zhu	2021-02-04
bcf84f4	Donghe-Zhu	2021-02-02
61666de	Donghe-Zhu	2021-01-31
865b582	Donghe-Zhu	2021-01-31
3e68089	Donghe-Zhu	2021-01-31
ecf335c	Donghe-Zhu	2021-01-31
a618965	Donghe-Zhu	2021-01-31
59e006e	Donghe-Zhu	2021-01-31
a1c8f87	Donghe-Zhu	2021-01-31
ae5c18f	Donghe-Zhu	2021-01-31
b50fe52	Donghe-Zhu	2021-01-31
ac99ae5	jens-daniel-mueller	2021-01-29
b5bdcaf	Donghe-Zhu	2021-01-29
442010d	Donghe-Zhu	2021-01-29
372adf5	Donghe-Zhu	2021-01-29
af8788e	Donghe-Zhu	2021-01-29
21c91c9	Donghe-Zhu	2021-01-29
eded038	Donghe-Zhu	2021-01-29
541d4dd	Donghe-Zhu	2021-01-29
6a75576	Donghe-Zhu	2021-01-28
16fba40	Donghe-Zhu	2021-01-28
12bc567	Donghe-Zhu	2021-01-27
ceed31b	Donghe-Zhu	2021-01-27
342402d	Donghe-Zhu	2021-01-27
5bad5c2	Donghe-Zhu	2021-01-27
61efb56	Donghe-Zhu	2021-01-25
48f638e	Donghe-Zhu	2021-01-25
c1cec47	Donghe-Zhu	2021-01-25
05ffb0c	Donghe-Zhu	2021-01-25
8b97165	Donghe-Zhu	2021-01-25
c569946	Donghe-Zhu	2021-01-24
a2f0d56	Donghe-Zhu	2021-01-23
28509fc	Donghe-Zhu	2021-01-23
4c28e4a	Donghe-Zhu	2021-01-22
24cc264	jens-daniel-mueller	2021-01-22
7891955	Donghe-Zhu	2021-01-21
d4cf1cb	Donghe-Zhu	2021-01-21
1f3e5b6	jens-daniel-mueller	2021-01-20
0e7bdf1	jens-daniel-mueller	2021-01-15
4571843	jens-daniel-mueller	2021-01-14
b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
7cdea0c	jens-daniel-mueller	2021-01-06
fa85b93	jens-daniel-mueller	2021-01-06
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
fb8a752	Donghe-Zhu	2020-12-23
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

lm_best %>% 
  ggplot(aes(rmse, aic, col = gamma_slab)) +
  geom_point() +
  scale_color_viridis_d() +
  facet_grid(eras~basin)

Past versions of aic_vs_rmse_selected_models-1.png

Version	Author	Date
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
50f0a16	Donghe-Zhu	2021-07-31
1682579	Donghe-Zhu	2021-07-31
9fa8832	Donghe-Zhu	2021-07-31
4abf542	Donghe-Zhu	2021-07-31
a2483f0	Donghe-Zhu	2021-07-31
3300527	Donghe-Zhu	2021-07-31
afeb6fd	Donghe-Zhu	2021-07-31
cb3ef32	Donghe-Zhu	2021-07-31
6528618	Donghe-Zhu	2021-07-31
f50925e	Donghe-Zhu	2021-07-31
f4de2f3	Donghe-Zhu	2021-07-30
43bc7b4	Donghe-Zhu	2021-07-30
f8c34a8	Donghe-Zhu	2021-07-30
4f897c4	Donghe-Zhu	2021-07-30
0f6e960	Donghe-Zhu	2021-07-30
fe067ea	Donghe-Zhu	2021-07-30
fbca39a	Donghe-Zhu	2021-07-30
f945f95	Donghe-Zhu	2021-07-30
a3006cd	Donghe-Zhu	2021-07-30
a55ffdc	Donghe-Zhu	2021-07-30
d5e4458	Donghe-Zhu	2021-07-30
10a97ef	Donghe-Zhu	2021-07-30
1c501fd	Donghe-Zhu	2021-07-30
68bce3f	Donghe-Zhu	2021-07-30
400c457	Donghe-Zhu	2021-07-29
3ba7852	Donghe-Zhu	2021-07-29
ec68363	Donghe-Zhu	2021-07-28
d3018f6	Donghe-Zhu	2021-07-28
b8ba2c4	Donghe-Zhu	2021-07-28
a4ddd84	Donghe-Zhu	2021-07-27
7ef49ab	Donghe-Zhu	2021-07-27
da818c0	Donghe-Zhu	2021-07-27
8623898	Donghe-Zhu	2021-07-27
f84b77c	Donghe-Zhu	2021-07-27
70ad9a5	Donghe-Zhu	2021-07-27
0d0b48d	Donghe-Zhu	2021-07-27
d0d97c6	Donghe-Zhu	2021-07-27
829510d	Donghe-Zhu	2021-07-27
780627d	Donghe-Zhu	2021-07-27
e9838c9	Donghe-Zhu	2021-07-27
2777f33	Donghe-Zhu	2021-07-27
d19760f	Donghe-Zhu	2021-07-27
cac5680	Donghe-Zhu	2021-07-23
7bb279a	Donghe-Zhu	2021-07-23
d52eac4	Donghe-Zhu	2021-07-23
dcf34b1	Donghe-Zhu	2021-07-23
419cb72	Donghe-Zhu	2021-07-22
9447d10	Donghe-Zhu	2021-07-22
639c9a0	Donghe-Zhu	2021-07-22
25bb96f	Donghe-Zhu	2021-07-22
cdc98a3	Donghe-Zhu	2021-07-22
e4805a1	Donghe-Zhu	2021-07-22
7957fd1	Donghe-Zhu	2021-07-21
b94be4e	Donghe-Zhu	2021-07-21
9950e70	Donghe-Zhu	2021-07-21
698b6f0	Donghe-Zhu	2021-07-20
d84a1cb	Donghe-Zhu	2021-07-20
4dce223	Donghe-Zhu	2021-07-20
6f28c0c	Donghe-Zhu	2021-07-20
db1e7b7	Donghe-Zhu	2021-07-19
ff0575d	Donghe-Zhu	2021-07-19
5d60eac	Donghe-Zhu	2021-07-19
57d0420	Donghe-Zhu	2021-07-16
c1be8f6	Donghe-Zhu	2021-07-16
26a7c15	Donghe-Zhu	2021-07-16
046902b	Donghe-Zhu	2021-07-16
3d4ac14	Donghe-Zhu	2021-07-15
be6fff9	Donghe-Zhu	2021-07-15
b473472	Donghe-Zhu	2021-07-15
363270a	Donghe-Zhu	2021-07-15
8b75a03	Donghe-Zhu	2021-07-15
a01e135	Donghe-Zhu	2021-07-07
bc83ef2	Donghe-Zhu	2021-07-07
75e7b07	Donghe-Zhu	2021-07-06
697aa6d	Donghe-Zhu	2021-07-06
d52e2de	Donghe-Zhu	2021-07-06
f2bde6b	Donghe-Zhu	2021-07-06
1133f28	Donghe-Zhu	2021-07-06
fe3a1cd	Donghe-Zhu	2021-07-06
d9cdf15	Donghe-Zhu	2021-07-06
ee4cd2d	Donghe-Zhu	2021-07-06
93821c1	Donghe-Zhu	2021-07-05
d44db8e	Donghe-Zhu	2021-07-05
20b3436	Donghe-Zhu	2021-07-05
d982ea5	Donghe-Zhu	2021-07-05
7397e53	Donghe-Zhu	2021-07-05
f2e4805	Donghe-Zhu	2021-07-05
e2d011a	Donghe-Zhu	2021-07-05
85e0349	Donghe-Zhu	2021-07-05
6ee0146	Donghe-Zhu	2021-07-05
a482a6b	Donghe-Zhu	2021-07-05
f59f1b3	Donghe-Zhu	2021-07-05
116bcab	Donghe-Zhu	2021-07-04
cb1c8dc	Donghe-Zhu	2021-07-04
c9bdd83	Donghe-Zhu	2021-07-04
1920ad9	Donghe-Zhu	2021-07-04
0b02791	Donghe-Zhu	2021-06-25
caf62d8	Donghe-Zhu	2021-06-25
90a9da5	Donghe-Zhu	2021-06-25
bb413c8	Donghe-Zhu	2021-06-25
e7a5266	Donghe-Zhu	2021-06-24
7c57720	Donghe-Zhu	2021-06-24
b5b95a9	Donghe-Zhu	2021-06-24
472aad4	Donghe-Zhu	2021-06-24
d517836	Donghe-Zhu	2021-06-24
9221bfe	Donghe-Zhu	2021-06-24
bff5fbf	Donghe-Zhu	2021-06-23
256a616	Donghe-Zhu	2021-06-23
00072e2	Donghe-Zhu	2021-06-23
7431530	Donghe-Zhu	2021-06-20
d20c383	Donghe-Zhu	2021-06-18
b0874a2	Donghe-Zhu	2021-06-17
72c2f2e	Donghe-Zhu	2021-06-15
d97dcb6	Donghe-Zhu	2021-06-08
25dda1d	Donghe-Zhu	2021-06-08
bd2bcc3	Donghe-Zhu	2021-06-08
e9b27d7	Donghe-Zhu	2021-06-07
7ae0d4b	Donghe-Zhu	2021-06-07
325391f	Donghe-Zhu	2021-06-07
ed89970	Donghe-Zhu	2021-06-07
df37958	Donghe-Zhu	2021-06-07
812bf63	Donghe-Zhu	2021-06-06
65c89c8	Donghe-Zhu	2021-06-06
9baa3b2	Donghe-Zhu	2021-06-06
b7d99cf	Donghe-Zhu	2021-06-06
5d8fa90	Donghe-Zhu	2021-06-06
dbe2a95	Donghe-Zhu	2021-05-28
d50b039	Donghe-Zhu	2021-05-28
441ebe5	Donghe-Zhu	2021-05-28
6262ad3	Donghe-Zhu	2021-05-28
a61aa77	Donghe-Zhu	2021-05-28
b8dbce4	Donghe-Zhu	2021-05-28
94a833e	Donghe-Zhu	2021-05-27
5e0bd64	Donghe-Zhu	2021-05-27
af1eadd	Donghe-Zhu	2021-05-27
9179bfe	Donghe-Zhu	2021-05-27
28cbe5e	Donghe-Zhu	2021-05-27
a618f02	Donghe-Zhu	2021-05-27
4623e38	Donghe-Zhu	2021-05-27
b81bb49	Donghe-Zhu	2021-05-27
951e188	Donghe-Zhu	2021-05-27
e377833	Donghe-Zhu	2021-05-26
2705a04	Donghe-Zhu	2021-03-28
cd5f759	Donghe-Zhu	2021-03-28
75dda4d	Donghe-Zhu	2021-03-27
0b19f6e	Donghe-Zhu	2021-03-27
e2704ca	Donghe-Zhu	2021-03-27
3061a0b	Donghe-Zhu	2021-03-27
b883157	Donghe-Zhu	2021-03-27
d19654d	Donghe-Zhu	2021-03-26
6c53dbf	Donghe-Zhu	2021-03-25
1914a11	Donghe-Zhu	2021-03-24
8be810e	Donghe-Zhu	2021-03-23
bf19764	Donghe-Zhu	2021-03-22
3ec9d3d	Donghe-Zhu	2021-03-22
134ace1	Donghe-Zhu	2021-03-22
f6d70a4	Donghe-Zhu	2021-03-22
183443b	Donghe-Zhu	2021-03-21
2e6976b	Donghe-Zhu	2021-03-21
51a42bd	Donghe-Zhu	2021-03-16
f745381	Donghe-Zhu	2021-03-16
aecbf75	Donghe-Zhu	2021-03-14
1b2a0c2	Donghe-Zhu	2021-03-14
6733e48	Donghe-Zhu	2021-03-12
ba71e6a	Donghe-Zhu	2021-03-12
9dbf5bd	Donghe-Zhu	2021-03-11
a49df30	Donghe-Zhu	2021-03-11
b3348a5	Donghe-Zhu	2021-03-11
1c24ff7	Donghe-Zhu	2021-03-10
94ce5a8	Donghe-Zhu	2021-03-10
db33928	Donghe-Zhu	2021-03-10
3d1f470	Donghe-Zhu	2021-03-10
9b7bc66	Donghe-Zhu	2021-03-10
4168b43	Donghe-Zhu	2021-03-10
5365f80	Donghe-Zhu	2021-03-10
2b6c392	Donghe-Zhu	2021-03-10
9f58753	Donghe-Zhu	2021-03-10
fd528ed	Donghe-Zhu	2021-03-10
9d5a62c	Donghe-Zhu	2021-03-10
5d1e70b	Donghe-Zhu	2021-03-10
2093979	Donghe-Zhu	2021-03-10
b865899	Donghe-Zhu	2021-03-10
cc2a956	Donghe-Zhu	2021-03-10
60689fb	Donghe-Zhu	2021-03-10
dba33c8	Donghe-Zhu	2021-03-09
17f1c4a	Donghe-Zhu	2021-03-09
c024d1a	Donghe-Zhu	2021-03-09
02f7242	Donghe-Zhu	2021-03-09
6f50bc6	Donghe-Zhu	2021-03-09
1691156	Donghe-Zhu	2021-03-08
c0ceaf8	Donghe-Zhu	2021-03-08
058e0a1	Donghe-Zhu	2021-03-08
112dea0	Donghe-Zhu	2021-03-08
1843412	Donghe-Zhu	2021-03-08
3fbbfa4	Donghe-Zhu	2021-03-07
627c8fb	Donghe-Zhu	2021-03-07
9ef3222	Donghe-Zhu	2021-03-05
8c1e978	Donghe-Zhu	2021-03-05
865f68c	Donghe-Zhu	2021-03-05
ee69bc1	Donghe-Zhu	2021-03-05
a79291f	Donghe-Zhu	2021-03-05
e8c6f30	Donghe-Zhu	2021-03-04
59288fe	Donghe-Zhu	2021-03-04
731abc8	Donghe-Zhu	2021-03-04
e2a5a33	Donghe-Zhu	2021-03-04
c7892c1	Donghe-Zhu	2021-03-04
924430b	Donghe-Zhu	2021-03-03
0d0bca1	Donghe-Zhu	2021-03-03
cb63c16	Donghe-Zhu	2021-03-03
ffda45a	Donghe-Zhu	2021-03-03
691ba81	Donghe-Zhu	2021-03-03
c5e45a2	Donghe-Zhu	2021-03-03
89c3e58	Donghe-Zhu	2021-03-03
c407a50	Donghe-Zhu	2021-03-03
c911669	Donghe-Zhu	2021-03-03
b71c719	Donghe-Zhu	2021-03-01
13666ca	Donghe-Zhu	2021-03-01
c6e60fe	Donghe-Zhu	2021-03-01
7a388f7	Donghe-Zhu	2021-03-01
799e913	Donghe-Zhu	2021-03-01
66ff99f	Donghe-Zhu	2021-03-01
ac9bb7a	Donghe-Zhu	2021-02-28
efdc047	Donghe-Zhu	2021-02-28
e9a7418	Donghe-Zhu	2021-02-28
e152917	Donghe-Zhu	2021-02-28
287123c	Donghe-Zhu	2021-02-27
54d5b5b	Donghe-Zhu	2021-02-27
330f064	Donghe-Zhu	2021-02-27
adbc9bc	Donghe-Zhu	2021-02-27
5937141	Donghe-Zhu	2021-02-27
4414bbf	Donghe-Zhu	2021-02-27
a265efb	Donghe-Zhu	2021-02-27
19edd1e	Donghe-Zhu	2021-02-27
f20483f	Donghe-Zhu	2021-02-26
6a2c7b3	Donghe-Zhu	2021-02-25
354c224	Donghe-Zhu	2021-02-24
1a0a88a	Donghe-Zhu	2021-02-24
57f701e	Donghe-Zhu	2021-02-24
06f3149	Donghe-Zhu	2021-02-16
401eab3	Donghe-Zhu	2021-02-15
e3bba84	Donghe-Zhu	2021-02-15
5dce4b1	Donghe-Zhu	2021-02-15
4469a0c	Donghe-Zhu	2021-02-13
5ae6a69	Donghe-Zhu	2021-02-10
05385dc	Donghe-Zhu	2021-02-10
f791ae4	Donghe-Zhu	2021-02-09
f71ae34	Donghe-Zhu	2021-02-09
c011832	Donghe-Zhu	2021-02-09
a145fa7	Donghe-Zhu	2021-02-09
c344e42	Donghe-Zhu	2021-02-08
2f095d7	Donghe-Zhu	2021-02-07
1fad5f1	Donghe-Zhu	2021-02-07
ca03c39	Donghe-Zhu	2021-02-07
e2ffc14	Donghe-Zhu	2021-02-05
cd7c52c	Donghe-Zhu	2021-02-04
bcf84f4	Donghe-Zhu	2021-02-02
a518739	Donghe-Zhu	2021-02-01
61666de	Donghe-Zhu	2021-01-31
865b582	Donghe-Zhu	2021-01-31
3e68089	Donghe-Zhu	2021-01-31
ecf335c	Donghe-Zhu	2021-01-31
a618965	Donghe-Zhu	2021-01-31
59e006e	Donghe-Zhu	2021-01-31
a1c8f87	Donghe-Zhu	2021-01-31
ae5c18f	Donghe-Zhu	2021-01-31
b50fe52	Donghe-Zhu	2021-01-31
ac99ae5	jens-daniel-mueller	2021-01-29
b5bdcaf	Donghe-Zhu	2021-01-29
442010d	Donghe-Zhu	2021-01-29
372adf5	Donghe-Zhu	2021-01-29
af8788e	Donghe-Zhu	2021-01-29
21c91c9	Donghe-Zhu	2021-01-29
eded038	Donghe-Zhu	2021-01-29
541d4dd	Donghe-Zhu	2021-01-29
6a75576	Donghe-Zhu	2021-01-28
16fba40	Donghe-Zhu	2021-01-28
12bc567	Donghe-Zhu	2021-01-27
ceed31b	Donghe-Zhu	2021-01-27
342402d	Donghe-Zhu	2021-01-27
5bad5c2	Donghe-Zhu	2021-01-27
61efb56	Donghe-Zhu	2021-01-25
48f638e	Donghe-Zhu	2021-01-25
c1cec47	Donghe-Zhu	2021-01-25
05ffb0c	Donghe-Zhu	2021-01-25
8b97165	Donghe-Zhu	2021-01-25
c569946	Donghe-Zhu	2021-01-24
a2f0d56	Donghe-Zhu	2021-01-23
28509fc	Donghe-Zhu	2021-01-23
4c28e4a	Donghe-Zhu	2021-01-22
24cc264	jens-daniel-mueller	2021-01-22
7891955	Donghe-Zhu	2021-01-21
d4cf1cb	Donghe-Zhu	2021-01-21
1f3e5b6	jens-daniel-mueller	2021-01-20
0e7bdf1	jens-daniel-mueller	2021-01-15
4571843	jens-daniel-mueller	2021-01-14
b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
7cdea0c	jens-daniel-mueller	2021-01-06
fa85b93	jens-daniel-mueller	2021-01-06
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
fb8a752	Donghe-Zhu	2020-12-23
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

Session information

sessionInfo()

R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.2

Matrix products: default
BLAS:   /usr/local/R-4.0.3/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.0.3/lib64/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] car_3.0-10       carData_3.0-4    gt_0.2.2         corrr_0.4.3     
 [5] broom_0.7.5      kableExtra_1.3.1 knitr_1.30       olsrr_0.5.3     
 [9] GGally_2.0.0     lubridate_1.7.9  ggforce_0.3.3    metR_0.9.0      
[13] scico_1.2.0      patchwork_1.1.1  collapse_1.5.0   forcats_0.5.0   
[17] stringr_1.4.0    dplyr_1.0.5      purrr_0.3.4      readr_1.4.0     
[21] tidyr_1.1.2      tibble_3.0.4     ggplot2_3.3.3    tidyverse_1.3.0 
[25] workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] fs_1.5.0                 webshot_0.5.2            RColorBrewer_1.1-2      
 [4] httr_1.4.2               rprojroot_2.0.2          tools_4.0.3             
 [7] backports_1.1.10         R6_2.5.0                 nortest_1.0-4           
[10] DBI_1.1.0                colorspace_2.0-0         withr_2.3.0             
[13] gridExtra_2.3            tidyselect_1.1.0         curl_4.3                
[16] compiler_4.0.3           git2r_0.27.1             cli_2.2.0               
[19] rvest_0.3.6              xml2_1.3.2               sass_0.2.0              
[22] labeling_0.4.2           scales_1.1.1             checkmate_2.0.0         
[25] goftest_1.2-2            digest_0.6.27            foreign_0.8-80          
[28] rmarkdown_2.5            rio_0.5.16               pkgconfig_2.0.3         
[31] htmltools_0.5.0          highr_0.8                dbplyr_1.4.4            
[34] rlang_0.4.10             readxl_1.3.1             rstudioapi_0.13         
[37] farver_2.0.3             generics_0.1.0           jsonlite_1.7.2          
[40] zip_2.1.1                magrittr_2.0.1           Matrix_1.2-18           
[43] Rcpp_1.0.5               munsell_0.5.0            fansi_0.4.1             
[46] abind_1.4-5              lifecycle_1.0.0          stringi_1.5.3           
[49] whisker_0.4              yaml_2.2.1               MASS_7.3-53             
[52] plyr_1.8.6               grid_4.0.3               blob_1.2.1              
[55] parallel_4.0.3           promises_1.1.1           crayon_1.3.4            
[58] lattice_0.20-41          haven_2.3.1              hms_0.5.3               
[61] pillar_1.4.7             reprex_0.3.0             glue_1.4.2              
[64] evaluate_0.14            RcppArmadillo_0.10.1.2.2 data.table_1.13.6       
[67] modelr_0.1.8             vctrs_0.3.6              tweenr_1.0.2            
[70] httpuv_1.5.4             cellranger_1.1.0         gtable_0.3.0            
[73] polyclip_1.10-0          reshape_0.8.8            assertthat_0.2.1        
[76] openxlsx_4.2.3           xfun_0.20                RcppEigen_0.3.3.9.1     
[79] later_1.1.0.1            viridisLite_0.3.0        ellipsis_0.3.1          
[82] here_1.0.1