eMLR - model fitting

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Last updated: 2021-08-01

Checks: 7 0

Knit directory: emlr_mod_v_XXX/

This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

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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: 829b53a

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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	3611a48	Donghe-Zhu	2021-08-01	Build site.
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	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	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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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	216	6.0263512	1400.91467	44.635506	21.0404500	1982-1999 –> 2000-2009	13.8756966	7.8493454	3312.64996	112.360101	1	2
Atlantic	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	216	6.2653593	1415.71697	39.866206	20.1400804	1982-1999 –> 2000-2009	14.1994223	7.9340630	3331.31364	102.646363	2	5
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	216	7.3814766	1486.53808	41.158437	21.8383065	1982-1999 –> 2000-2009	15.2908836	7.9094071	3400.43536	102.516999	3	5
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	216	9.1911525	1581.26170	11.427036	23.5865838	1982-1999 –> 2000-2009	19.2748525	10.0837000	3627.76460	23.465094	4	10
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	216	9.5530232	1597.94396	11.086724	24.6199084	1982-1999 –> 2000-2009	19.5306504	9.9776273	3638.67294	22.749053	6	10
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + nitrate	216	9.1954507	1579.46368	1.017392	23.4221370	1982-1999 –> 2000-2009	19.6431630	10.4477123	3643.32926	2.314883	5	16
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + nitrate	216	9.5948088	1597.82944	1.000176	25.8587925	1982-1999 –> 2000-2009	19.7001079	10.1052991	3643.50061	2.173086	8	15
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + aou	216	9.8158691	1607.66961	1.002625	25.9328537	1982-1999 –> 2000-2009	19.8397588	10.0238897	3648.92433	2.170488	9	14
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + temp	216	9.8331776	1608.43069	9.853835	28.2761953	1982-1999 –> 2000-2009	19.9435582	10.1103806	3654.37635	20.018329	10	18
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + aou	216	9.5886800	1597.55340	1.024484	24.4536084	1982-1999 –> 2000-2009	19.9875186	10.3988386	3658.85884	2.298862	7	17
Atlantic	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	301	6.3848410	1982.26480	36.066731	22.6145174	2000-2009 –> 2010-2019	12.4111922	6.0263512	3383.17947	80.702237	1	2
Atlantic	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	301	6.5155487	1992.46424	32.425952	21.3326731	2000-2009 –> 2010-2019	12.7809080	6.2653593	3408.18121	72.292159	2	4
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	301	7.4133932	2070.18053	33.135158	21.1843700	2000-2009 –> 2010-2019	14.7948698	7.3814766	3556.71861	74.293594	3	6
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	301	8.6601543	2163.75798	14.548615	21.6511838	2000-2009 –> 2010-2019	17.8513067	9.1911525	3745.01969	25.975651	4	8
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + nitrate	301	8.6725458	2162.61875	1.007968	21.7106100	2000-2009 –> 2010-2019	17.8679966	9.1954507	3742.08243	2.025361	5	10
Atlantic	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	301	8.7764536	2171.78859	14.302986	22.9799306	2000-2009 –> 2010-2019	18.3294767	9.5530232	3769.73254	25.389709	6	12
Atlantic	(-Inf,26]	2	cstar_tref ~ temp + aou	301	8.8027197	2171.58755	1.011384	23.1352877	2000-2009 –> 2010-2019	18.3913996	9.5886800	3769.14096	2.035868	8	15
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + nitrate	301	8.9643857	2182.54327	1.001423	22.3891740	2000-2009 –> 2010-2019	18.5591945	9.5948088	3780.37270	2.001598	9	17
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + temp	301	8.7900964	2170.72365	13.985093	23.4287742	2000-2009 –> 2010-2019	18.6232740	9.8331776	3779.15434	23.838928	7	17
Atlantic	(-Inf,26]	2	cstar_tref ~ sal + aou	301	9.0264065	2186.69391	1.004760	22.7326487	2000-2009 –> 2010-2019	18.8422756	9.8158691	3794.36352	2.007385	10	19
Atlantic	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	782	4.8647317	4705.48597	109.642296	22.2809084	1982-1999 –> 2000-2009	10.6017685	5.7370367	10390.74536	243.241128	1	2
Atlantic	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	782	4.9390293	4727.19188	66.870957	21.9489397	1982-1999 –> 2000-2009	10.8081063	5.8690771	10451.22746	185.132700	2	4
Atlantic	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	782	5.9641402	5022.15618	57.909405	25.7864489	1982-1999 –> 2000-2009	12.8821389	6.9179987	11040.84876	154.843368	3	6
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + aou	782	8.0879613	5498.56902	13.584497	35.8771993	1982-1999 –> 2000-2009	16.5475962	8.4596350	11877.77526	30.253297	4	8
Atlantic	(26,26.5]	2	cstar_tref ~ sal + aou	782	8.2014019	5518.35305	1.018512	35.3879255	1982-1999 –> 2000-2009	16.6911911	8.4897891	11901.93548	2.160214	5	10
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	782	8.2487217	5529.35096	14.382570	35.7287693	1982-1999 –> 2000-2009	16.8137817	8.5650600	11930.75133	31.864906	6	13
Atlantic	(26,26.5]	2	cstar_tref ~ sal + nitrate	782	8.3505836	5546.54622	1.029976	35.1406273	1982-1999 –> 2000-2009	16.9594418	8.6088582	11955.08678	2.242633	7	16
Atlantic	(26,26.5]	2	cstar_tref ~ sal + temp	782	8.4014157	5556.03782	12.684806	33.9466276	1982-1999 –> 2000-2009	17.0282984	8.6268827	11968.32642	27.190750	8	18
Atlantic	(26,26.5]	2	cstar_tref ~ temp + aou	782	9.0563957	5673.44884	1.042097	33.4525011	1982-1999 –> 2000-2009	17.5662495	8.5098538	12061.26148	2.266946	9	15
Atlantic	(26,26.5]	2	cstar_tref ~ temp + nitrate	782	9.1588313	5691.03973	1.071779	33.0431181	1982-1999 –> 2000-2009	17.7595896	8.6007583	12097.89345	2.409497	10	18
Atlantic	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	974	5.3721831	6051.13681	74.268145	28.5412570	2000-2009 –> 2010-2019	10.2369149	4.8647317	10756.62278	183.910440	1	2
Atlantic	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	974	5.5105416	6098.67161	57.746844	24.1075620	2000-2009 –> 2010-2019	10.4495709	4.9390293	10825.86349	124.617801	2	4
Atlantic	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	974	6.6959812	6478.22893	50.475615	24.7311694	2000-2009 –> 2010-2019	12.6601215	5.9641402	11500.38512	108.385020	3	6
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + aou	974	8.7311456	6995.20682	16.015975	29.8785926	2000-2009 –> 2010-2019	16.8191069	8.0879613	12493.77583	29.600473	6	10
Atlantic	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	974	8.5894780	6963.34022	17.138745	32.0479496	2000-2009 –> 2010-2019	16.8381997	8.2487217	12492.69119	31.521315	4	10
Atlantic	(26,26.5]	2	cstar_tref ~ sal + aou	974	8.7320103	6993.39972	1.025258	29.8336167	2000-2009 –> 2010-2019	16.9334122	8.2014019	12511.75278	2.043769	7	12
Atlantic	(26,26.5]	2	cstar_tref ~ sal + nitrate	974	8.6092233	6965.81311	1.047171	31.8985636	2000-2009 –> 2010-2019	16.9598069	8.3505836	12512.35932	2.077148	5	12
Atlantic	(26,26.5]	2	cstar_tref ~ sal + temp	974	8.7792823	7003.91706	13.960011	29.2412296	2000-2009 –> 2010-2019	17.1806980	8.4014157	12559.95488	26.644817	8	16
Atlantic	(26,26.5]	2	cstar_tref ~ temp + nitrate	974	8.7859915	7005.40518	1.111822	32.6422883	2000-2009 –> 2010-2019	17.9448228	9.1588313	12696.44491	2.183601	9	19
Atlantic	(26,26.5]	2	cstar_tref ~ temp + aou	974	9.0264331	7057.99866	1.064378	30.8915820	2000-2009 –> 2010-2019	18.0828288	9.0563957	12731.44750	2.106476	10	19
Atlantic	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	841	3.5446074	4527.10350	167.047257	10.4394186	1982-1999 –> 2000-2009	7.6451350	4.1005276	9638.86113	283.050719	1	2
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	841	3.6156261	4558.47041	111.681861	10.5827486	1982-1999 –> 2000-2009	7.9067406	4.2911145	9750.09443	193.323708	2	5
Atlantic	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	841	3.8741709	4674.64048	132.499095	12.5169296	1982-1999 –> 2000-2009	8.0381403	4.1639694	9812.06451	231.714245	3	5
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	841	6.1930600	5463.66271	23.286068	30.0302833	1982-1999 –> 2000-2009	12.9546902	6.7616302	11474.68771	45.474354	5	9
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	841	6.1534275	5452.86415	23.027578	29.2862254	1982-1999 –> 2000-2009	13.0257686	6.8723412	11493.15509	45.048718	4	9
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + temp	841	6.2036405	5464.53387	22.765797	30.4196772	1982-1999 –> 2000-2009	13.1587014	6.9550608	11524.38528	44.687904	6	12
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + aou	841	6.7574319	5608.35600	1.125471	25.5561790	1982-1999 –> 2000-2009	13.8031331	7.0457012	11691.53990	2.256039	8	15
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	841	6.7188116	5598.71540	1.179612	24.6542436	1982-1999 –> 2000-2009	13.8963283	7.1775167	11715.30078	2.395903	7	15
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + aou	841	7.5674660	5798.78422	1.107096	23.0196860	1982-1999 –> 2000-2009	14.9625298	7.3950638	11969.17599	2.225375	10	19
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + nitrate	841	7.5662964	5798.52424	1.166615	24.3124758	1982-1999 –> 2000-2009	15.1109255	7.5446291	12004.99782	2.378749	9	19
Atlantic	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	845	4.0962418	4793.02429	125.246518	16.7148386	2000-2009 –> 2010-2019	7.6408492	3.5446074	9320.12780	292.293775	1	2
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	845	4.1395037	4808.77941	79.304940	17.2970300	2000-2009 –> 2010-2019	7.7551299	3.6156261	9367.24982	190.986802	2	4
Atlantic	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	845	4.3975699	4910.98417	98.349590	21.3282734	2000-2009 –> 2010-2019	8.2717408	3.8741709	9585.62465	230.848685	3	6
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	845	6.2449970	5503.71543	28.204671	28.2666935	2000-2009 –> 2010-2019	12.3984244	6.1534275	10956.57958	51.232250	4	8
Atlantic	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	845	6.4166465	5549.53974	27.617510	29.5590085	2000-2009 –> 2010-2019	12.6097065	6.1930600	11013.20246	50.903578	5	10
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + temp	845	6.7622318	5636.19267	27.270445	32.3776994	2000-2009 –> 2010-2019	12.9658724	6.2036405	11100.72655	50.036242	6	12
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	845	6.8205535	5650.70577	1.093548	33.1089912	2000-2009 –> 2010-2019	13.5393650	6.7188116	11249.42117	2.273160	7	14
Atlantic	(26.5,26.75]	2	cstar_tref ~ sal + aou	845	7.0871619	5715.50772	1.039137	33.5889162	2000-2009 –> 2010-2019	13.8445938	6.7574319	11323.86372	2.164608	8	16
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + nitrate	845	7.5297654	5817.88608	1.114397	35.8316418	2000-2009 –> 2010-2019	15.0960618	7.5662964	11616.41032	2.281012	9	18
Atlantic	(26.5,26.75]	2	cstar_tref ~ temp + aou	845	7.7736954	5871.76626	1.046844	36.0958307	2000-2009 –> 2010-2019	15.3411614	7.5674660	11670.55048	2.153940	10	20
Atlantic	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	1204	3.3585185	6346.09590	79.807391	32.1966643	1982-1999 –> 2000-2009	6.6036910	3.2451725	13912.76736	190.175252	1	2
Atlantic	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	1204	3.3723825	6354.01570	67.910573	33.3538730	1982-1999 –> 2000-2009	6.7069579	3.3345753	13997.77177	165.606033	2	4
Atlantic	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	1204	4.3401533	6961.53049	79.766604	21.5651258	1982-1999 –> 2000-2009	8.3172638	3.9771104	15118.05823	189.049057	3	6
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	1204	6.3093682	7862.42560	19.639195	42.6736944	1982-1999 –> 2000-2009	12.6714535	6.3620853	17386.07326	37.119815	4	8
Atlantic	(26.75,27]	2	cstar_tref ~ sal + nitrate	1204	6.5999991	7968.86738	1.427506	36.3154827	1982-1999 –> 2000-2009	13.0831902	6.4831911	17545.38787	3.011310	5	10
Atlantic	(26.75,27]	2	cstar_tref ~ temp + nitrate	1204	6.9810293	8104.02084	1.391943	31.3667219	1982-1999 –> 2000-2009	13.6335415	6.6525122	17755.56612	2.865602	6	13
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + aou	1204	7.0013095	8113.00606	19.667485	44.2817663	1982-1999 –> 2000-2009	13.6369485	6.6356390	17759.16115	37.051098	7	13
Atlantic	(26.75,27]	2	cstar_tref ~ sal + aou	1204	7.3509347	8228.34855	1.185897	36.9271191	1982-1999 –> 2000-2009	14.1068969	6.7559622	17924.79761	2.483683	8	16
Atlantic	(26.75,27]	2	cstar_tref ~ temp + aou	1204	7.5738191	8300.27545	1.159858	33.2359281	1982-1999 –> 2000-2009	14.4322145	6.8583953	18040.51446	2.388081	9	19
Atlantic	(26.75,27]	2	cstar_tref ~ aou + nitrate	1204	7.7975492	8370.37721	22.110417	34.8596290	1982-1999 –> 2000-2009	14.6163906	6.8188414	18093.78501	51.188984	10	19
Atlantic	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	1206	3.4876689	6447.63113	77.422061	18.3880883	2000-2009 –> 2010-2019	6.8461874	3.3585185	12793.72703	157.229452	1	2
Atlantic	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	1206	3.4941106	6450.08194	56.063597	18.2408998	2000-2009 –> 2010-2019	6.8664931	3.3723825	12804.09764	123.974170	2	4
Atlantic	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	1206	4.7196960	7175.28721	76.117388	19.1465476	2000-2009 –> 2010-2019	9.0598493	4.3401533	14136.81770	155.883992	3	6
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	1206	5.8531745	7694.44554	17.888275	20.9485130	2000-2009 –> 2010-2019	12.1625427	6.3093682	15556.87114	37.527470	4	8
Atlantic	(26.75,27]	2	cstar_tref ~ sal + nitrate	1206	6.4325960	7920.12395	1.196584	19.7944155	2000-2009 –> 2010-2019	13.0325952	6.5999991	15888.99133	2.624089	5	10
Atlantic	(26.75,27]	3	cstar_tref ~ sal + temp + aou	1206	6.5702874	7973.20861	17.946732	24.1000131	2000-2009 –> 2010-2019	13.5715969	7.0013095	16086.21467	37.614217	6	13
Atlantic	(26.75,27]	2	cstar_tref ~ temp + nitrate	1206	7.0249942	8132.61196	1.187950	21.9140961	2000-2009 –> 2010-2019	14.0060235	6.9810293	16236.63280	2.579892	7	13
Atlantic	(26.75,27]	2	cstar_tref ~ sal + aou	1206	7.3027138	8226.12917	1.039581	20.5712907	2000-2009 –> 2010-2019	14.6536485	7.3509347	16454.47771	2.225478	8	16
Atlantic	(26.75,27]	2	cstar_tref ~ temp + aou	1206	7.6590419	8341.03895	1.031922	21.9308267	2000-2009 –> 2010-2019	15.2328611	7.5738191	16641.31440	2.191780	9	18
Atlantic	(26.75,27]	2	cstar_tref ~ aou + nitrate	1206	8.0912547	8473.45030	14.990632	20.8634112	2000-2009 –> 2010-2019	15.8888039	7.7975492	16843.82750	37.101049	10	20
Atlantic	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	1426	3.4921926	7625.32365	34.668762	36.9348292	1982-1999 –> 2000-2009	6.5356298	3.0434372	18727.15986	106.115714	1	2
Atlantic	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	1426	3.5326955	7656.21119	32.757630	38.7131208	1982-1999 –> 2000-2009	6.6132876	3.0805921	18809.19551	97.974937	2	4
Atlantic	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	1426	4.2039727	8152.37015	29.605056	24.4776076	1982-1999 –> 2000-2009	8.4763702	4.2723974	20737.84801	84.998035	3	6
Atlantic	(27,27.25]	2	cstar_tref ~ aou + nitrate	1426	5.6778891	9007.53749	3.896074	28.6868232	1982-1999 –> 2000-2009	11.1152977	5.4374086	22647.15360	10.243027	7	11
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	1426	5.5484100	8943.74722	20.141091	25.7781343	1982-1999 –> 2000-2009	11.6223730	6.0739630	23070.26735	39.974050	4	9
Atlantic	(27,27.25]	2	cstar_tref ~ temp + nitrate	1426	5.6243967	8980.54095	1.619599	23.8568359	1982-1999 –> 2000-2009	11.7475415	6.1231448	23140.38380	3.965918	6	12
Atlantic	(27,27.25]	2	cstar_tref ~ sal + nitrate	1426	5.5774765	8956.64899	1.708804	23.4372118	1982-1999 –> 2000-2009	11.7570690	6.1795926	23156.68501	4.224168	5	12
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + aou	1426	6.9697901	9594.21343	19.477890	47.4204007	1982-1999 –> 2000-2009	13.8304368	6.8606467	24254.17568	38.504041	8	16
Atlantic	(27,27.25]	2	cstar_tref ~ temp + aou	1426	6.9698947	9592.25624	1.032955	47.4259404	1982-1999 –> 2000-2009	13.8312027	6.8613079	24250.64063	2.308899	9	18
Atlantic	(27,27.25]	2	cstar_tref ~ sal + aou	1426	7.0287086	9616.22121	1.044966	47.0650743	1982-1999 –> 2000-2009	14.0309549	7.0022464	24363.66379	2.355398	10	20
Atlantic	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	1593	4.3086715	9184.30414	36.408692	30.6212837	2000-2009 –> 2010-2019	7.8413670	3.5326955	16840.51533	69.166322	1	2
Atlantic	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	1593	5.7333679	10094.45994	37.665850	22.7078070	2000-2009 –> 2010-2019	9.9373406	4.2039727	18246.83009	67.270905	2	4
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	1593	6.5842223	10535.31661	18.863539	24.1948501	2000-2009 –> 2010-2019	12.1326323	5.5484100	19479.06383	39.004630	3	6
Atlantic	(27,27.25]	2	cstar_tref ~ aou + nitrate	1593	6.8283694	10649.31787	3.432517	23.5468229	2000-2009 –> 2010-2019	12.5062585	5.6778891	19656.85536	7.328592	4	10
Atlantic	(27,27.25]	2	cstar_tref ~ sal + nitrate	1593	6.9600807	10710.18692	1.498782	22.4862381	2000-2009 –> 2010-2019	12.5375572	5.5774765	19666.83591	3.207586	5	9
Atlantic	(27,27.25]	2	cstar_tref ~ temp + nitrate	1593	6.9868459	10722.41529	1.420272	23.5348713	2000-2009 –> 2010-2019	12.6112427	5.6243967	19702.95624	3.039871	6	11
Atlantic	(27,27.25]	3	cstar_tref ~ sal + temp + aou	1593	7.7404387	11050.75454	18.338105	33.5787357	2000-2009 –> 2010-2019	14.7102288	6.9697901	20644.96797	37.815995	7	14
Atlantic	(27,27.25]	2	cstar_tref ~ temp + aou	1593	7.9091300	11117.44286	1.001248	32.5435557	2000-2009 –> 2010-2019	14.8790248	6.9698947	20709.69910	2.034203	8	16
Atlantic	(27,27.25]	2	cstar_tref ~ sal + aou	1593	8.2083940	11235.76929	1.005946	31.7762766	2000-2009 –> 2010-2019	15.2371026	7.0287086	20851.99050	2.050912	9	18
Atlantic	(27,27.25]	2	cstar_tref ~ sal + temp	1593	10.5293905	12029.12518	17.747272	47.7155907	2000-2009 –> 2010-2019	20.4506711	9.9212806	22628.37096	36.793165	10	20
Atlantic	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	2097	3.5040002	11221.90678	25.305448	22.3100511	1982-1999 –> 2000-2009	6.8676002	3.3635999	24077.82447	109.384956	1	2
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	2097	3.5491774	11273.63447	21.112274	23.6983619	1982-1999 –> 2000-2009	6.9382885	3.3891112	24164.42487	97.085738	2	4
Atlantic	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	2097	3.6034780	11337.31468	18.629772	16.4402992	1982-1999 –> 2000-2009	7.4979191	3.8944411	24906.33961	59.450496	3	6
Atlantic	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	2097	4.1142695	11891.27891	2.219816	15.1007003	1982-1999 –> 2000-2009	8.2464285	4.1321590	25747.44312	4.130892	7	11
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	2097	3.9911068	11765.81189	22.554473	15.5821814	1982-1999 –> 2000-2009	8.4863545	4.4952476	26034.97322	51.808821	4	9
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	2097	3.9973514	11770.36880	1.900635	15.8271551	1982-1999 –> 2000-2009	8.4926146	4.4952632	26037.54700	4.861523	6	12
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	2097	3.9919532	11764.70120	2.067480	15.4763792	1982-1999 –> 2000-2009	8.5408218	4.5488686	26089.72850	5.763653	5	12
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	2097	7.2611105	14275.77068	21.274628	38.9588270	1982-1999 –> 2000-2009	12.7114684	5.4503579	29485.11536	46.161365	8	16
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + aou	2097	7.3093166	14301.52238	1.014340	40.3890668	1982-1999 –> 2000-2009	12.8443082	5.5349917	29584.06191	2.070397	9	18
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + aou	2097	7.4933676	14405.82099	1.006717	35.3637368	1982-1999 –> 2000-2009	13.1731033	5.6797358	29814.33602	2.036771	10	20
Atlantic	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	2147	4.9521562	12974.56232	36.501624	49.6307764	2000-2009 –> 2010-2019	8.4561564	3.5040002	24196.46910	61.807071	1	2
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	2147	4.9555156	12975.47427	32.570839	48.3471204	2000-2009 –> 2010-2019	8.5046929	3.5491774	24249.10874	53.683113	2	4
Atlantic	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	2147	5.3357299	13292.90598	22.603318	25.0133506	2000-2009 –> 2010-2019	8.9392079	3.6034780	24630.22066	41.233091	3	6
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	2147	5.4616978	13393.10222	24.242122	25.6484512	2000-2009 –> 2010-2019	9.4528047	3.9911068	25158.91411	46.796596	4	8
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	2147	5.5159904	13433.57638	2.730695	26.8593616	2000-2009 –> 2010-2019	9.5079436	3.9919532	25198.27758	4.798175	5	10
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	2147	5.5331006	13446.87543	2.301936	26.4324685	2000-2009 –> 2010-2019	9.5304520	3.9973514	25217.24423	4.202571	7	13
Atlantic	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	2147	5.5246850	13440.33953	1.326899	25.1683850	2000-2009 –> 2010-2019	9.6389546	4.1142695	25331.61844	3.546715	6	13
Atlantic	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	2147	7.2254569	14594.78145	21.468260	59.8834196	2000-2009 –> 2010-2019	14.4865674	7.2611105	28870.55213	42.742887	8	16
Atlantic	(27.25,27.5]	2	cstar_tref ~ sal + aou	2147	7.4080661	14699.95514	1.010188	59.5274304	2000-2009 –> 2010-2019	14.7173827	7.3093166	29001.47753	2.024528	10	19
Atlantic	(27.25,27.5]	2	cstar_tref ~ temp + aou	2147	7.4007842	14695.73219	1.026239	59.6246295	2000-2009 –> 2010-2019	14.8941518	7.4933676	29101.55318	2.032956	9	19
Atlantic	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	2816	5.0509340	17124.89800	23.769629	20.1150476	1982-1999 –> 2000-2009	9.1733492	4.1224152	35963.80617	62.209485	1	2
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	2816	5.0510237	17122.99797	18.131666	20.2373976	1982-1999 –> 2000-2009	9.1837903	4.1327666	35976.55827	50.540089	2	4
Atlantic	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	2816	5.0519095	17123.98558	22.787949	19.6571208	1982-1999 –> 2000-2009	9.2367670	4.1848575	36060.71580	54.137937	3	8
Atlantic	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	2816	5.0541104	17124.43868	2.432913	19.8113533	1982-1999 –> 2000-2009	9.2445492	4.1904387	36068.01866	4.749216	4	10
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	2816	5.2856742	17378.74283	17.187257	21.7522275	1982-1999 –> 2000-2009	9.4197878	4.1341136	36234.46705	43.039984	5	8
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	2816	5.3488132	17443.62012	2.842445	25.8899893	1982-1999 –> 2000-2009	9.4860842	4.1372710	36302.41366	7.216003	7	11
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	2816	5.2869414	17378.09294	2.749190	20.9291371	1982-1999 –> 2000-2009	9.5043207	4.2173792	36364.22510	5.993275	6	13
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	2816	6.1732701	18252.98986	16.794178	29.5212284	1982-1999 –> 2000-2009	11.3565564	5.1832863	38610.45847	39.507273	8	16
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + aou	2816	6.2298958	18302.41509	1.086285	27.1959988	1982-1999 –> 2000-2009	11.4597915	5.2298958	38717.32548	2.188318	9	18
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + aou	2816	6.4933758	18535.70914	1.106355	35.2797518	1982-1999 –> 2000-2009	11.9402234	5.4468476	39220.50678	2.288585	10	20
Atlantic	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	3020	6.0144085	19419.10315	19.815808	21.0983613	2000-2009 –> 2010-2019	11.0653426	5.0509340	36544.00115	43.585437	1	2
Atlantic	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	3020	6.0603137	19463.02856	18.175182	22.1725504	2000-2009 –> 2010-2019	11.1122232	5.0519095	36587.01414	40.963131	2	5
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	3020	6.0664914	19469.18240	16.589220	21.0335507	2000-2009 –> 2010-2019	11.1175151	5.0510237	36592.18037	34.720885	3	5
Atlantic	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	3020	6.0713066	19471.97472	2.176942	21.5653812	2000-2009 –> 2010-2019	11.1254170	5.0541104	36596.41340	4.609854	4	8
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	3020	6.4953930	19881.79139	17.616588	35.8825862	2000-2009 –> 2010-2019	11.7810672	5.2856742	37260.53422	34.803846	5	10
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	3020	6.5749348	19953.30730	2.390045	25.9585941	2000-2009 –> 2010-2019	11.8618762	5.2869414	37331.40024	5.139235	7	13
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	3020	6.5140250	19897.09227	3.016035	39.4534734	2000-2009 –> 2010-2019	11.8628381	5.3488132	37340.71239	5.858479	6	13
Atlantic	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	3020	6.9309510	20273.81083	16.354684	32.1513988	2000-2009 –> 2010-2019	13.1042211	6.1732701	38526.80069	33.148861	8	16
Atlantic	(27.5,27.75]	2	cstar_tref ~ temp + aou	3020	6.9357333	20275.97696	1.036543	31.7024165	2000-2009 –> 2010-2019	13.1656291	6.2298958	38578.39205	2.122828	9	18
Atlantic	(27.5,27.75]	2	cstar_tref ~ sal + aou	3020	7.3301687	20610.05983	1.091529	38.0018808	2000-2009 –> 2010-2019	13.8235445	6.4933758	39145.76897	2.197884	10	20
Atlantic	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	1668	7.2627443	11360.05886	38.934384	35.6308606	1982-1999 –> 2000-2009	13.6862600	6.4235157	23418.75256	94.276000	1	2
Atlantic	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	1668	7.2628051	11358.08676	27.236341	35.4230309	1982-1999 –> 2000-2009	13.6874330	6.4246279	23415.41657	82.008681	2	4
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	1668	7.2628913	11358.12637	17.313716	35.8649728	1982-1999 –> 2000-2009	13.6978316	6.4349403	23421.34871	56.900174	3	6
Atlantic	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	1668	7.2649703	11357.08115	4.316291	34.8625354	1982-1999 –> 2000-2009	13.7057169	6.4407465	23421.61706	8.558542	4	8
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	1668	7.3798398	11411.41538	22.046539	39.7367907	1982-1999 –> 2000-2009	13.9806958	6.6008561	23568.16594	46.112319	5	13
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + aou	1668	7.3921860	11414.99171	1.052631	43.3717018	1982-1999 –> 2000-2009	13.9987722	6.6065862	23572.93028	2.104255	6	15
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	1668	7.5917578	11505.86165	23.343649	27.2961801	1982-1999 –> 2000-2009	14.0538440	6.4620862	23584.55024	47.541927	8	13
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	1668	7.6321920	11521.58226	1.645647	35.8967194	1982-1999 –> 2000-2009	14.0946648	6.4624727	23598.49060	3.371193	9	15
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + aou	1668	7.4779626	11453.47877	1.050609	51.1806096	1982-1999 –> 2000-2009	14.0981543	6.6201916	23618.97569	2.117774	7	17
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	1668	7.7901782	11589.93238	1.560317	42.1100995	1982-1999 –> 2000-2009	14.3163468	6.5261686	23702.87534	3.346401	10	17
Atlantic	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	2006	8.5833244	14329.86445	33.213198	22.4108719	2000-2009 –> 2010-2019	15.8460688	7.2627443	25689.92331	72.147582	1	2
Atlantic	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	2006	8.6851641	14375.18597	31.787085	35.1014567	2000-2009 –> 2010-2019	15.9479692	7.2628051	25733.27272	59.023425	2	4
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	2006	8.6975412	14380.89936	21.537077	25.2386525	2000-2009 –> 2010-2019	15.9604326	7.2628913	25739.02572	38.850793	3	6
Atlantic	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	2006	8.6993097	14379.71505	5.896486	28.4269625	2000-2009 –> 2010-2019	15.9642800	7.2649703	25736.79620	10.212777	4	8
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	2006	8.7325717	14397.02574	19.891263	21.4954194	2000-2009 –> 2010-2019	16.1124114	7.3798398	25808.44111	41.937802	5	10
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + aou	2006	8.7913662	14421.94713	1.222961	20.6750480	2000-2009 –> 2010-2019	16.1835521	7.3921860	25836.93884	2.275593	7	13
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + aou	2006	8.7505720	14403.28710	1.220613	20.9683360	2000-2009 –> 2010-2019	16.2285346	7.4779626	25856.76587	2.271221	6	13
Atlantic	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	2006	9.0954462	14560.37016	21.017851	37.8483972	2000-2009 –> 2010-2019	16.6872040	7.5917578	26066.23181	44.361500	8	16
Atlantic	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	2006	9.3144742	14653.83847	2.109156	67.2102525	2000-2009 –> 2010-2019	16.9466663	7.6321920	26175.42073	3.754803	9	18
Atlantic	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	2006	9.8331704	14871.25616	1.988505	78.8554969	2000-2009 –> 2010-2019	17.6233487	7.7901782	26461.18855	3.548822	10	20
Atlantic	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	5232	7.9024987	36490.73389	34.332475	26.0336160	1982-1999 –> 2000-2009	13.5252873	5.6227886	67972.97967	96.303080	1	2
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	5232	7.9064937	36494.02243	13.034909	25.7979864	1982-1999 –> 2000-2009	13.5496420	5.6431483	68010.42648	44.793184	2	4
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	5232	8.0013663	36618.83604	13.481143	24.8493854	1982-1999 –> 2000-2009	14.0396027	6.0382364	68812.20939	22.211181	8	11
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	5232	8.2380559	36921.88325	1.223205	29.9026344	1982-1999 –> 2000-2009	14.4980605	6.2600046	69474.09029	2.574019	10	14
Atlantic	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	5232	7.9109796	36499.95767	22.973315	24.7637906	1982-1999 –> 2000-2009	14.8084642	6.8974846	70024.31133	84.763582	3	9
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	5232	7.9553539	36558.48848	13.229035	32.3098611	1982-1999 –> 2000-2009	14.8165117	6.8611578	70030.01508	21.934148	5	10
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	5232	8.1109688	36759.19885	1.258240	32.3304606	1982-1999 –> 2000-2009	15.3602102	7.2492414	70779.15186	2.449933	9	16
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + aou	5232	7.9911208	36603.42871	1.013270	40.0196403	1982-1999 –> 2000-2009	15.5475043	7.5563834	71038.50631	2.043391	7	15
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + aou	5232	7.9575935	36559.43387	1.008137	34.0028524	1982-1999 –> 2000-2009	15.7951369	7.8375434	71359.98511	2.008728	6	15
Atlantic	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	5232	7.9152733	36503.63552	5.467291	25.1793734	1982-1999 –> 2000-2009	15.8341588	7.9188855	71407.47840	11.726895	4	14
Atlantic	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	5319	9.8898643	39483.75605	41.534232	190.1666978	2000-2009 –> 2010-2019	17.7923630	7.9024987	75974.48994	75.866707	1	2
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	5319	9.9204769	39514.63345	25.682577	184.7447483	2000-2009 –> 2010-2019	17.8269705	7.9064937	76008.65589	38.717486	3	5
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	5319	9.9173993	39511.33283	7.610657	178.5156426	2000-2009 –> 2010-2019	17.8727533	7.9553539	76069.82132	20.839692	2	7
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + aou	5319	10.0409835	39641.07749	1.196285	145.1442952	2000-2009 –> 2010-2019	18.0321043	7.9911208	76244.50619	2.209555	4	11
Atlantic	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	5319	10.2272588	39838.62012	41.249056	110.9608935	2000-2009 –> 2010-2019	18.1382384	7.9109796	76338.57780	64.222371	6	9
Atlantic	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	5319	10.1865019	39796.14160	7.540264	221.3180199	2000-2009 –> 2010-2019	18.1878681	8.0013663	76414.97764	21.021407	5	13
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + aou	5319	10.2719993	39883.05590	1.138992	93.3790875	2000-2009 –> 2010-2019	18.2295928	7.9575935	76442.48977	2.147129	8	14
Atlantic	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	5319	10.4074600	40022.42622	9.871244	61.1386722	2000-2009 –> 2010-2019	18.3227332	7.9152733	76526.06174	15.338535	9	13
Atlantic	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	5319	10.2285788	39837.99297	1.599869	238.8183177	2000-2009 –> 2010-2019	18.4666346	8.2380559	76759.87621	2.823073	7	17
Atlantic	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	5319	10.4461865	40061.93718	1.537524	146.5993471	2000-2009 –> 2010-2019	18.5571553	8.1109688	76821.13603	2.795764	10	19
Atlantic	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	3846	7.4170216	26339.53231	83.432921	51.2986244	1982-1999 –> 2000-2009	11.3454169	3.9283953	52249.91178	241.004934	1	2
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	3846	7.7123803	26637.89947	24.422997	55.1984117	1982-1999 –> 2000-2009	11.6815210	3.9691407	52642.15943	89.833158	3	6
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	3846	7.9911869	26911.06111	41.177285	27.8895796	1982-1999 –> 2000-2009	12.1635388	4.1723519	53379.27301	46.003922	4	9
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + aou	3846	7.9911880	26909.06210	1.014428	27.8343133	1982-1999 –> 2000-2009	12.8806187	4.8894308	54848.94813	2.122400	5	11
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	3846	9.0662859	27881.97139	53.557744	24.5537995	1982-1999 –> 2000-2009	12.9948792	3.9285933	53790.81931	58.758990	8	10
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	3846	9.1528344	27953.05246	1.332549	21.0637047	1982-1999 –> 2000-2009	13.1814195	4.0285850	54093.44342	2.820571	9	13
Atlantic	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	3846	7.4415386	26362.91628	37.844245	47.6447809	1982-1999 –> 2000-2009	13.2625584	5.8210198	55925.32318	136.374075	2	9
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + aou	3846	8.0485829	26964.11074	1.054762	30.0115106	1982-1999 –> 2000-2009	14.0717756	6.0231927	56841.76507	2.233881	6	15
Atlantic	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	3846	8.9707461	27798.48355	5.065986	25.6708868	1982-1999 –> 2000-2009	14.8308771	5.8601310	57421.11425	15.064231	7	15
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	3846	9.1679372	27965.73427	1.582621	21.1252709	1982-1999 –> 2000-2009	15.8586218	6.6906847	58819.96615	3.298149	10	20
Atlantic	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	3995	8.0276898	27991.66428	55.181586	80.1443663	2000-2009 –> 2010-2019	15.4447115	7.4170216	54331.19659	138.614508	1	2
Atlantic	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	3995	8.4395825	28389.45230	35.593187	62.5059390	2000-2009 –> 2010-2019	15.8811211	7.4415386	54752.36858	73.437432	2	4
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	3995	9.1062535	28996.92030	18.707887	52.8445952	2000-2009 –> 2010-2019	16.8186338	7.7123803	55634.81977	43.130884	3	6
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	3995	9.3754896	29229.72828	12.128810	39.9466813	2000-2009 –> 2010-2019	17.3666766	7.9911869	56140.78940	53.306095	4	8
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + aou	3995	9.3960072	29245.19470	1.073369	38.3228996	2000-2009 –> 2010-2019	17.3871952	7.9911880	56154.25680	2.087798	6	11
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + aou	3995	9.3820245	29233.29546	1.215215	40.7433493	2000-2009 –> 2010-2019	17.4306074	8.0485829	56197.40620	2.269977	5	11
Atlantic	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	3995	9.8353730	29610.34207	8.706537	60.0851962	2000-2009 –> 2010-2019	18.8061191	8.9707461	57408.82563	13.772523	7	14
Atlantic	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	3995	10.5343290	30160.88733	16.846508	30.1648651	2000-2009 –> 2010-2019	19.6006149	9.0662859	58042.85872	70.404252	8	16
Atlantic	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	3995	10.5785234	30192.33746	1.307825	32.5733569	2000-2009 –> 2010-2019	19.7313579	9.1528344	58145.38992	2.640374	9	18
Atlantic	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	3995	10.5806133	30193.91581	1.784881	33.6602512	2000-2009 –> 2010-2019	19.7485505	9.1679372	58159.65008	3.367502	10	20
Atlantic	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	1890	3.0258737	9560.80314	59.230514	24.5496795	1982-1999 –> 2000-2009	5.2093066	2.1834329	20013.22906	89.747310	1	2
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	1890	3.0691852	9612.52550	13.219212	24.6543073	1982-1999 –> 2000-2009	5.2620531	2.1928679	20083.41551	30.341922	2	4
Atlantic	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	1890	3.0704233	9614.05003	21.849179	25.7349361	1982-1999 –> 2000-2009	5.2670058	2.1965825	20092.97270	48.433024	3	6
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	1890	3.3282795	9918.86951	23.675996	29.9456105	1982-1999 –> 2000-2009	5.5630228	2.2347433	20479.53547	42.532416	4	8
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	1890	3.5387915	10148.69599	2.870292	31.0919255	1982-1999 –> 2000-2009	5.7794641	2.2406727	20719.93771	6.969815	5	10
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	1890	3.8202923	10438.02352	2.107438	36.3001731	1982-1999 –> 2000-2009	6.1126295	2.2923371	21117.45395	5.690381	6	12
Atlantic	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	1890	4.1367500	10738.84919	3.035675	43.3054667	1982-1999 –> 2000-2009	6.5102814	2.3735314	21583.47363	10.151178	7	14
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	1890	4.2524081	10845.08260	32.694733	45.5404975	1982-1999 –> 2000-2009	6.8394719	2.5870638	22100.54964	54.277552	8	16
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + aou	1890	4.7419471	11254.96049	1.070507	49.7879733	1982-1999 –> 2000-2009	7.4186725	2.6767254	22670.12673	2.818258	9	18
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + aou	1890	4.8636919	11350.78335	1.227497	49.4205835	1982-1999 –> 2000-2009	7.6028728	2.7391809	22875.41488	3.335576	10	20
Atlantic	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	2350	2.4580743	10908.08883	54.883564	30.4660987	2000-2009 –> 2010-2019	5.4839480	3.0258737	20468.89197	114.114078	1	2
Atlantic	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	2350	2.4794316	10946.74910	37.634564	30.5119916	2000-2009 –> 2010-2019	5.5498550	3.0704233	20560.79913	59.483743	2	5
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	2350	2.5256289	11033.51457	21.564053	33.4396034	2000-2009 –> 2010-2019	5.5948141	3.0691852	20646.04007	34.783265	3	5
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	2350	2.6711909	11296.87583	27.834071	38.6941037	2000-2009 –> 2010-2019	5.9994705	3.3282795	21215.74534	51.510067	4	8
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	2350	2.7024767	11349.60378	4.977975	39.1593571	2000-2009 –> 2010-2019	6.2412682	3.5387915	21498.29977	7.848267	5	10
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	2350	2.8705339	11633.15190	3.633962	43.8246792	2000-2009 –> 2010-2019	6.6908262	3.8202923	22071.17542	5.741401	6	12
Atlantic	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	2350	3.1352847	12047.79502	4.899102	52.7768449	2000-2009 –> 2010-2019	7.2720347	4.1367500	22786.64421	7.934777	7	14
Atlantic	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	2350	3.2295121	12188.96715	34.504478	54.1733934	2000-2009 –> 2010-2019	7.4819202	4.2524081	23034.04976	67.199211	8	16
Atlantic	(28.05,28.1]	2	cstar_tref ~ temp + aou	2350	3.4158113	12450.56174	1.467504	57.3974810	2000-2009 –> 2010-2019	8.1577584	4.7419471	23705.52223	2.538010	9	18
Atlantic	(28.05,28.1]	2	cstar_tref ~ sal + aou	2350	3.4653090	12518.17957	1.825965	56.7876824	2000-2009 –> 2010-2019	8.3290009	4.8636919	23868.96291	3.053462	10	20
Atlantic	(28.1,28.15]	4	cstar_tref ~ sal + temp + aou + nitrate	1645	1.5055273	6026.38890	48.450556	10.0154267	1982-1999 –> 2000-2009	2.9460608	1.4405335	12845.94999	84.087566	1	2
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + aou + nitrate	1645	1.5055274	6024.38911	10.369349	10.0145380	1982-1999 –> 2000-2009	2.9469691	1.4414417	12844.35518	28.451393	2	4
Atlantic	(28.1,28.15]	3	cstar_tref ~ temp + aou + nitrate	1645	1.8742102	6745.04407	10.384415	13.7883259	1982-1999 –> 2000-2009	3.4199364	1.5457262	13831.55801	26.967100	3	6
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + nitrate	1645	2.5630625	7774.86514	42.442729	14.4361556	1982-1999 –> 2000-2009	4.3596126	1.7965501	15435.20761	78.079419	4	8
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + nitrate	1645	2.8987235	8177.75761	2.294415	18.0268305	1982-1999 –> 2000-2009	4.7002514	1.8015279	15846.65883	6.779902	5	10
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + nitrate	1645	3.2345494	8538.40466	1.687472	22.2357890	1982-1999 –> 2000-2009	5.1155405	1.8809911	16372.01845	5.047080	6	12
Atlantic	(28.1,28.15]	2	cstar_tref ~ aou + nitrate	1645	4.0441015	9273.29117	2.696348	32.8453660	1982-1999 –> 2000-2009	6.1660763	2.1219748	17566.91744	10.332199	7	14
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + aou	1645	5.4049447	10229.57153	47.667896	42.7617191	1982-1999 –> 2000-2009	8.2695080	2.8645634	19670.26019	80.347144	8	16
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + aou	1645	5.4245036	10239.45564	1.023563	43.2191507	1982-1999 –> 2000-2009	8.2935101	2.8690064	19684.05849	2.950564	9	19
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + aou	1645	5.4493030	10254.46237	1.115339	43.5886926	1982-1999 –> 2000-2009	8.3140076	2.8647046	19693.33914	3.406221	10	19
Atlantic	(28.1,28.15]	4	cstar_tref ~ sal + temp + aou + nitrate	2578	1.4107156	9102.21181	43.486247	12.9820117	2000-2009 –> 2010-2019	2.9162429	1.5055273	15128.60070	91.936803	1	2
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + aou + nitrate	2578	1.4107470	9100.32639	24.769625	12.9770545	2000-2009 –> 2010-2019	2.9162744	1.5055274	15124.71549	35.138974	2	4
Atlantic	(28.1,28.15]	3	cstar_tref ~ temp + aou + nitrate	2578	1.6726097	9978.21655	22.613205	21.0876226	2000-2009 –> 2010-2019	3.5468198	1.8742102	16723.26062	32.997620	3	6
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + nitrate	2578	1.7601935	10241.37179	43.463373	24.9472598	2000-2009 –> 2010-2019	4.3232560	2.5630625	18016.23693	85.906103	4	8
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + nitrate	2578	1.8126896	10390.89612	6.173935	26.6790417	2000-2009 –> 2010-2019	4.7114130	2.8987235	18568.65373	8.468350	5	10
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + nitrate	2578	1.9875128	10865.62105	4.066303	33.5156988	2000-2009 –> 2010-2019	5.2220622	3.2345494	19404.02572	5.753775	6	12
Atlantic	(28.1,28.15]	2	cstar_tref ~ aou + nitrate	2578	2.2806626	11574.99377	4.193424	47.1557083	2000-2009 –> 2010-2019	6.3247640	4.0441015	20848.28494	6.889772	7	14
Atlantic	(28.1,28.15]	3	cstar_tref ~ sal + temp + aou	2578	2.6670009	12383.84895	38.897143	55.1133766	2000-2009 –> 2010-2019	8.0719456	5.4049447	22613.42048	86.565039	8	16
Atlantic	(28.1,28.15]	2	cstar_tref ~ temp + aou	2578	2.6725879	12392.63881	1.522333	55.3938764	2000-2009 –> 2010-2019	8.0970916	5.4245036	22632.09445	2.545897	9	18
Atlantic	(28.1,28.15]	2	cstar_tref ~ sal + aou	2578	2.6879269	12422.14640	1.817824	55.5264998	2000-2009 –> 2010-2019	8.1372300	5.4493030	22676.60877	2.933163	10	20
Atlantic	(28.15,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	940	0.7322575	2093.75301	32.276142	4.9097979	1982-1999 –> 2000-2009	1.4396784	0.7074209	3908.07234	46.881598	1	2
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + aou + nitrate	940	0.7339631	2096.12705	28.615900	4.9908521	1982-1999 –> 2000-2009	1.4464784	0.7125152	3920.50107	39.418968	2	4
Atlantic	(28.15,28.2]	3	cstar_tref ~ temp + aou + nitrate	940	0.9005305	2480.63453	13.470521	5.4969794	1982-1999 –> 2000-2009	1.6788780	0.7783475	4453.47314	19.117975	3	6
Atlantic	(28.15,28.2]	2	cstar_tref ~ aou + nitrate	940	1.1047812	2862.94146	3.405179	5.6144350	1982-1999 –> 2000-2009	2.0959245	0.9911432	5239.81253	5.730791	4	8
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + nitrate	940	1.1490210	2938.75584	16.652992	7.5317778	1982-1999 –> 2000-2009	2.1595726	1.0105515	5350.20625	25.312646	5	10
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + nitrate	940	1.1493149	2937.23659	1.020211	7.5683360	1982-1999 –> 2000-2009	2.1751436	1.0258287	5371.89469	2.116892	7	13
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + nitrate	940	1.1490789	2936.85049	1.446856	7.5664485	1982-1999 –> 2000-2009	2.1843850	1.0353061	5386.95835	2.691317	6	13
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + aou	940	2.8389698	4639.27398	10.430479	21.1733924	1982-1999 –> 2000-2009	4.7301358	1.8911660	8103.57587	17.688356	8	16
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + aou	940	2.9867543	4732.67650	1.003261	20.3694145	1982-1999 –> 2000-2009	4.9755294	1.9887751	8279.52504	2.033388	9	18
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + aou	940	3.9077813	5237.98763	1.135536	22.5506318	1982-1999 –> 2000-2009	6.2362549	2.3284736	9049.76211	2.203031	10	20
Atlantic	(28.15,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	1275	0.7028404	2731.09853	14.609095	2.8966859	2000-2009 –> 2010-2019	1.4350979	0.7322575	4824.85153	46.885238	1	2
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + aou + nitrate	1275	0.7029344	2729.43937	10.741347	2.8814407	2000-2009 –> 2010-2019	1.4368975	0.7339631	4825.56641	39.357246	2	4
Atlantic	(28.15,28.2]	3	cstar_tref ~ temp + aou + nitrate	1275	0.8190408	3119.25865	5.973547	3.4018623	2000-2009 –> 2010-2019	1.7195713	0.9005305	5599.89318	19.444068	3	6
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + nitrate	1275	0.8307823	3155.55502	8.887413	4.3902151	2000-2009 –> 2010-2019	1.9798033	1.1490210	6094.31086	25.540405	4	9
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + nitrate	1275	0.8333087	3161.29781	1.182301	4.4182792	2000-2009 –> 2010-2019	1.9823876	1.1490789	6098.14830	2.629157	5	11
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + nitrate	1275	0.8508586	3214.44450	1.034424	3.9470610	2000-2009 –> 2010-2019	2.0001735	1.1493149	6151.68109	2.054635	6	13
Atlantic	(28.15,28.2]	2	cstar_tref ~ aou + nitrate	1275	1.0077504	3645.98068	2.381103	4.5661535	2000-2009 –> 2010-2019	2.1125317	1.1047812	6508.92213	5.786282	7	11
Atlantic	(28.15,28.2]	3	cstar_tref ~ sal + temp + aou	1275	2.0070491	5404.79038	7.165199	14.8259471	2000-2009 –> 2010-2019	4.8460189	2.8389698	10044.06436	17.595678	8	16
Atlantic	(28.15,28.2]	2	cstar_tref ~ sal + aou	1275	2.1043576	5523.51932	1.049506	15.7210255	2000-2009 –> 2010-2019	5.0911118	2.9867543	10256.19582	2.052768	9	18
Atlantic	(28.15,28.2]	2	cstar_tref ~ temp + aou	1275	2.4773179	5939.59333	1.144379	22.1167782	2000-2009 –> 2010-2019	6.3850993	3.9077813	11177.58097	2.279915	10	20
Atlantic	(28.2, Inf]	4	cstar_tref ~ sal + temp + aou + nitrate	1124	1.0619431	3336.87946	110.673054	7.0385524	1982-1999 –> 2000-2009	1.7040595	0.6421164	5117.30595	236.251557	1	2
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + nitrate	1124	1.3549316	3882.60595	4.280698	6.7429053	1982-1999 –> 2000-2009	2.1267995	0.7718679	5994.52000	11.066551	2	4
Atlantic	(28.2, Inf]	3	cstar_tref ~ temp + aou + nitrate	1124	1.5083269	4123.70408	5.175370	7.5202901	1982-1999 –> 2000-2009	2.2950789	0.7867520	6270.22661	14.209556	3	6
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + nitrate	1124	1.5734099	4216.66901	1.006409	7.9250002	1982-1999 –> 2000-2009	2.3617312	0.7883213	6364.80229	2.061377	4	8
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + aou + nitrate	1124	1.9377714	4686.91252	65.366926	10.1417954	1982-1999 –> 2000-2009	3.0094571	1.0716857	7393.47898	115.023726	5	10
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + nitrate	1124	1.9416973	4689.46226	3.343363	10.1122892	1982-1999 –> 2000-2009	3.0341163	1.0924190	7428.74969	6.984679	7	13
Atlantic	(28.2, Inf]	2	cstar_tref ~ aou + nitrate	1124	1.9381692	4685.37390	4.962488	10.1199589	1982-1999 –> 2000-2009	3.1026541	1.1644849	7540.41977	13.504081	6	13
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + aou	1124	2.4690125	5231.55730	1.547566	17.4821038	1982-1999 –> 2000-2009	3.9492602	1.4802477	8523.35746	3.957284	8	16
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + aou	1124	2.4819810	5241.33402	1.383048	18.2526161	1982-1999 –> 2000-2009	3.9893537	1.5073728	8564.03789	3.140241	9	18
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + aou	1124	5.7268448	7120.90413	1.026972	40.5483707	1982-1999 –> 2000-2009	9.2145134	3.4876686	11963.63183	2.120375	10	20
Atlantic	(28.2, Inf]	4	cstar_tref ~ sal + temp + aou + nitrate	1391	0.2799439	417.53943	41.934225	3.5940487	2000-2009 –> 2010-2019	1.3418871	1.0619431	3754.41889	152.607279	1	2
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + nitrate	1391	0.2846258	461.68136	1.985326	3.4380957	2000-2009 –> 2010-2019	1.6395573	1.3549316	4344.28731	6.266023	4	6
Atlantic	(28.2, Inf]	3	cstar_tref ~ temp + aou + nitrate	1391	0.2812680	428.66696	3.386817	3.5468173	2000-2009 –> 2010-2019	1.7895949	1.5083269	4552.37104	8.562187	2	5
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + nitrate	1391	0.2939355	549.22034	1.085571	3.4992756	2000-2009 –> 2010-2019	1.8673454	1.5734099	4765.88934	2.091980	5	9
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + aou + nitrate	1391	0.2837634	453.23965	13.968148	3.6117770	2000-2009 –> 2010-2019	2.2215349	1.9377714	5140.15218	79.335075	3	8
Atlantic	(28.2, Inf]	2	cstar_tref ~ aou + nitrate	1391	0.3220083	802.98619	3.073376	3.6793817	2000-2009 –> 2010-2019	2.2601775	1.9381692	5488.36008	8.035865	6	12
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + nitrate	1391	0.3258651	836.10868	1.243901	4.0577842	2000-2009 –> 2010-2019	2.2675623	1.9416973	5525.57094	4.587263	7	14
Atlantic	(28.2, Inf]	3	cstar_tref ~ sal + temp + aou	1391	0.8135676	3383.48727	1.835575	7.2470369	2000-2009 –> 2010-2019	3.2825801	2.4690125	8615.04457	3.383141	8	16
Atlantic	(28.2, Inf]	2	cstar_tref ~ sal + aou	1391	1.2895144	4662.85427	1.005299	13.3544780	2000-2009 –> 2010-2019	3.7714954	2.4819810	9904.18828	2.388347	9	18
Atlantic	(28.2, Inf]	2	cstar_tref ~ temp + aou	1391	2.7940868	6814.00681	1.017846	34.0748248	2000-2009 –> 2010-2019	8.5209316	5.7268448	13934.91094	2.044818	10	20
Indo-Pacific	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	3594	10.0373544	26789.11218	32.578159	47.6544189	1982-1999 –> 2000-2009	19.5614822	9.5241278	43651.76661	77.186904	1	2
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	3594	11.7410462	27914.02775	31.286875	62.9056180	1982-1999 –> 2000-2009	22.0388166	10.2977704	45133.00069	74.378876	2	4
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	3594	15.3109019	29822.25626	25.567023	54.9546989	1982-1999 –> 2000-2009	28.3736780	13.0627761	48132.43570	66.388528	4	7
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ aou + nitrate	3594	15.3269498	29827.78631	14.950395	55.9778652	1982-1999 –> 2000-2009	29.0227158	13.6957659	48353.07021	39.608802	5	9
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	3594	14.9244555	29638.50265	2.820000	57.2913368	1982-1999 –> 2000-2009	31.2107508	16.2862952	48960.59901	6.591842	3	8
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	3594	15.6699095	29988.85371	3.072952	68.8442289	1982-1999 –> 2000-2009	33.0565840	17.3866745	49610.91401	6.983111	6	13
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + aou	3594	16.5997836	30401.22306	1.018669	63.5481422	1982-1999 –> 2000-2009	33.7334966	17.1337130	49954.04147	2.018694	8	14
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ temp + aou	3594	17.1552757	30637.82390	1.146582	54.5082994	1982-1999 –> 2000-2009	34.6770388	17.5217631	50293.39365	2.195862	9	17
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + temp	3594	16.0497029	30158.99233	2.377602	81.2125329	1982-1999 –> 2000-2009	34.7207229	18.6710200	50106.03256	5.600275	7	17
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + nitrate	3594	17.3942389	30737.25770	1.095954	64.4480930	1982-1999 –> 2000-2009	35.7212216	18.3269827	50598.96961	2.113586	10	19
Indo-Pacific	(-Inf,26]	4	cstar_tref ~ sal + temp + aou + nitrate	5419	9.8971256	40233.80036	36.040242	56.9294787	2000-2009 –> 2010-2019	19.9344801	10.0373544	67022.91254	68.618401	1	2
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ temp + aou + nitrate	5419	11.3927897	41757.10037	35.767849	69.4279781	2000-2009 –> 2010-2019	23.1338359	11.7410462	69671.12812	67.054724	2	4
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + aou	5419	14.9214435	44681.39505	2.702842	96.4752514	2000-2009 –> 2010-2019	29.8458990	14.9244555	74319.89770	5.522843	5	8
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + aou + nitrate	5419	14.7735942	44573.47101	26.708042	100.1234418	2000-2009 –> 2010-2019	30.0844961	15.3109019	74395.72727	52.275065	3	7
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ aou + nitrate	5419	14.8160077	44602.54128	18.179844	108.3264439	2000-2009 –> 2010-2019	30.1429576	15.3269498	74430.32759	33.130238	4	9
Indo-Pacific	(-Inf,26]	3	cstar_tref ~ sal + temp + nitrate	5419	15.5120068	45102.07219	3.049877	89.4154197	2000-2009 –> 2010-2019	31.1819163	15.6699095	75090.92590	6.122829	6	12
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + temp	5419	15.7021957	45232.14628	1.989954	87.0232555	2000-2009 –> 2010-2019	31.7518986	16.0497029	75391.13861	4.367557	7	14
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + aou	5419	16.1355490	45527.20315	1.003206	117.4548229	2000-2009 –> 2010-2019	32.7353326	16.5997836	75928.42621	2.021875	8	16
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ temp + aou	5419	16.3316852	45658.15055	1.194308	82.3276374	2000-2009 –> 2010-2019	33.4869609	17.1552757	76295.97445	2.340891	9	18
Indo-Pacific	(-Inf,26]	2	cstar_tref ~ sal + nitrate	5419	16.9004149	46029.14692	1.036345	117.6503717	2000-2009 –> 2010-2019	34.2946538	17.3942389	76766.40462	2.132300	10	20
Indo-Pacific	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	2999	8.9467631	21666.16154	24.652053	34.4957790	1982-1999 –> 2000-2009	17.0787839	8.1320208	40018.11655	44.111976	1	2
Indo-Pacific	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	2999	10.7870703	22786.12595	24.612802	43.8511361	1982-1999 –> 2000-2009	19.3589125	8.5718422	41410.92982	44.017969	2	4
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	2999	11.9068976	23378.54624	22.211208	58.8717897	1982-1999 –> 2000-2009	21.1215464	9.2146489	42380.67313	40.459323	3	6
Indo-Pacific	(26,26.5]	2	cstar_tref ~ aou + nitrate	2999	12.0531542	23449.77297	11.230296	62.7023759	1982-1999 –> 2000-2009	22.0042795	9.9511253	42851.11790	24.505629	4	8
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + aou	2999	17.0695734	25538.90399	10.900354	63.4277483	1982-1999 –> 2000-2009	35.7049272	18.6353538	48215.89104	21.762013	5	10
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + aou	2999	17.4163641	25657.53989	1.225217	60.5806084	1982-1999 –> 2000-2009	36.0523564	18.6359923	48332.70571	2.226027	6	12
Indo-Pacific	(26,26.5]	2	cstar_tref ~ temp + aou	2999	18.3053007	25956.12298	1.244112	64.1685338	1982-1999 –> 2000-2009	37.0296700	18.7243693	48655.97551	2.250147	7	14
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	2999	18.7031928	26087.10141	11.193658	81.7538081	1982-1999 –> 2000-2009	40.0299609	21.3267681	49468.00963	22.289336	8	16
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + nitrate	2999	19.0276907	26188.27348	1.558878	79.6589153	1982-1999 –> 2000-2009	40.3565147	21.3288240	49567.68467	2.588844	9	18
Indo-Pacific	(26,26.5]	2	cstar_tref ~ temp + nitrate	2999	19.8190557	26432.68335	1.624593	83.1754781	1982-1999 –> 2000-2009	41.2781341	21.4590783	49843.86377	2.679566	11	21
Indo-Pacific	(26,26.5]	4	cstar_tref ~ sal + temp + aou + nitrate	3153	10.5747187	23832.31378	22.060104	41.5248793	2000-2009 –> 2010-2019	19.5214818	8.9467631	45498.47532	46.712157	1	2
Indo-Pacific	(26,26.5]	3	cstar_tref ~ temp + aou + nitrate	3153	12.3540167	24810.99213	22.056131	56.5908609	2000-2009 –> 2010-2019	23.1410869	10.7870703	47597.11808	46.668933	2	4
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + aou + nitrate	3153	13.3299902	25290.46979	19.236344	72.9749564	2000-2009 –> 2010-2019	25.2368877	11.9068976	48669.01603	41.447552	3	6
Indo-Pacific	(26,26.5]	2	cstar_tref ~ aou + nitrate	3153	13.4297486	25335.48668	10.174902	75.8438920	2000-2009 –> 2010-2019	25.4829028	12.0531542	48785.25965	21.405198	4	8
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + aou	3153	18.1487245	27236.39976	8.605577	73.0372830	2000-2009 –> 2010-2019	35.2182978	17.0695734	52775.30375	19.505931	5	10
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + aou	3153	18.4015416	27321.63799	1.001587	69.9507702	2000-2009 –> 2010-2019	35.8179057	17.4163641	52979.17787	2.226804	6	12
Indo-Pacific	(26,26.5]	2	cstar_tref ~ temp + aou	3153	19.1752670	27581.36213	1.011613	71.4278002	2000-2009 –> 2010-2019	37.4805677	18.3053007	53537.48512	2.255724	8	15
Indo-Pacific	(26,26.5]	3	cstar_tref ~ sal + temp + nitrate	3153	19.0154652	27530.58932	8.948920	86.6847378	2000-2009 –> 2010-2019	37.7186580	18.7031928	53617.69074	20.142577	7	15
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + nitrate	3153	19.3269029	27631.03316	1.068269	84.4559346	2000-2009 –> 2010-2019	38.3545937	19.0276907	53819.30664	2.627147	10	19
Indo-Pacific	(26,26.5]	2	cstar_tref ~ sal + temp	3153	19.2158563	27594.69625	8.258560	91.0232472	2000-2009 –> 2010-2019	38.6291662	19.4133100	53903.31112	18.986486	9	19
Indo-Pacific	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	2788	8.7239950	20002.04814	31.536462	36.2840787	1982-1999 –> 2000-2009	16.6040445	7.8800496	36601.39286	57.390878	1	2
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	2788	9.8292779	20665.19916	21.108628	42.5487970	1982-1999 –> 2000-2009	18.0562369	8.2269590	37467.70154	35.581544	2	4
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	2788	9.9858250	20753.30614	19.522608	49.2553755	1982-1999 –> 2000-2009	18.5237243	8.5378993	37732.47183	33.081574	3	6
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ aou + nitrate	2788	9.9960693	20757.02357	10.622314	50.5427895	1982-1999 –> 2000-2009	19.2184132	9.2223439	38101.40721	20.597168	4	8
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	2788	16.1140494	23421.56119	29.705429	66.6952343	1982-1999 –> 2000-2009	35.0730052	18.9589559	44199.66682	53.166669	5	10
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + aou	2788	16.1450429	23430.27568	1.323926	65.5191762	1982-1999 –> 2000-2009	35.2202862	19.0752434	44235.50051	2.331684	6	13
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ temp + aou	2788	16.4483758	23534.06554	1.288986	65.1863841	1982-1999 –> 2000-2009	35.4233997	18.9750239	44314.20533	2.295097	7	13
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	2788	17.2899990	23814.31633	29.379599	79.0005027	1982-1999 –> 2000-2009	38.4455938	21.1555949	45114.47039	52.824177	8	16
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	2788	17.2957338	23814.16549	1.734857	78.3988662	1982-1999 –> 2000-2009	38.6415505	21.3458167	45154.94602	2.798929	9	19
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ temp + nitrate	2788	17.4668202	23869.05132	1.697948	76.8753303	1982-1999 –> 2000-2009	38.6676846	21.2008643	45177.38439	2.764558	10	19
Indo-Pacific	(26.5,26.75]	4	cstar_tref ~ sal + temp + aou + nitrate	2583	11.6241360	20014.86649	22.686039	42.7050007	2000-2009 –> 2010-2019	20.3481310	8.7239950	40016.91463	54.222501	1	2
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ temp + aou + nitrate	2583	12.1297113	20232.80530	11.819929	44.2016823	2000-2009 –> 2010-2019	21.9589893	9.8292779	40898.00445	32.928557	2	4
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + aou + nitrate	2583	12.1857080	20256.59920	10.969001	43.8045791	2000-2009 –> 2010-2019	22.1715330	9.9858250	41009.90535	30.491609	3	6
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ aou + nitrate	2583	12.1876968	20255.44224	7.324590	43.6840766	2000-2009 –> 2010-2019	22.1837661	9.9960693	41012.46582	17.946904	4	8
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + aou	2583	18.6587311	22457.57558	20.610273	68.1920451	2000-2009 –> 2010-2019	34.7727804	16.1140494	45879.13676	50.315702	5	10
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + aou	2583	18.6756907	22460.26902	1.000034	69.1830622	2000-2009 –> 2010-2019	34.8207336	16.1450429	45890.54470	2.323960	6	12
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ temp + aou	2583	18.7084791	22469.33086	1.000030	66.6616129	2000-2009 –> 2010-2019	35.1568549	16.4483758	46003.39640	2.289016	7	14
Indo-Pacific	(26.5,26.75]	3	cstar_tref ~ sal + temp + nitrate	2583	19.4766421	22679.20583	20.976902	78.4244928	2000-2009 –> 2010-2019	36.7666411	17.2899990	46493.52216	50.356501	8	16
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + nitrate	2583	19.4877561	22680.15289	1.045003	79.2087027	2000-2009 –> 2010-2019	36.7834899	17.2957338	46494.31838	2.779860	9	18
Indo-Pacific	(26.5,26.75]	2	cstar_tref ~ sal + temp	2583	19.5075086	22685.38640	20.557275	78.8197645	2000-2009 –> 2010-2019	37.0002653	17.4927567	46562.71137	49.307584	10	21
Indo-Pacific	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	3425	8.7211014	24567.08586	24.656786	28.2301137	1982-1999 –> 2000-2009	17.1251107	8.4040093	45205.10800	56.473292	1	2
Indo-Pacific	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	3425	9.1470688	24891.74828	17.392026	30.2506324	1982-1999 –> 2000-2009	17.6348275	8.4877587	45585.42252	29.136689	2	4
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	3425	9.3205028	25020.41248	14.180937	28.6756241	1982-1999 –> 2000-2009	18.1172072	8.7967044	45921.94989	24.564191	3	6
Indo-Pacific	(26.75,27]	2	cstar_tref ~ aou + nitrate	3425	9.4123459	25085.58120	8.928252	28.0112872	1982-1999 –> 2000-2009	19.9776535	10.5653075	47050.23530	15.979247	4	8
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + aou	3425	13.6263306	27621.95633	17.332975	67.2989466	1982-1999 –> 2000-2009	30.5322761	16.9059454	52321.71137	42.417291	5	10
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + aou	3425	13.6804215	27647.09417	1.089828	68.6738735	1982-1999 –> 2000-2009	31.0604666	17.3800451	52505.64907	2.092111	6	12
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + aou	3425	13.9280934	27769.99811	1.072745	71.2989586	1982-1999 –> 2000-2009	31.5032107	17.5751173	52693.44537	2.083074	7	14
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	3425	14.2282315	27918.04161	18.636146	75.1756783	1982-1999 –> 2000-2009	33.2385640	19.0103325	53299.87935	45.861984	8	16
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + nitrate	3425	14.2728044	27937.46711	1.323123	76.3825868	1982-1999 –> 2000-2009	33.5469626	19.2741582	53397.43688	2.362060	9	18
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + nitrate	3425	14.4651484	28029.16302	1.242862	78.3991905	1982-1999 –> 2000-2009	33.9322725	19.4671241	53547.05100	2.257124	11	21
Indo-Pacific	(26.75,27]	4	cstar_tref ~ sal + temp + aou + nitrate	3774	10.7849359	28672.42679	19.121974	30.8346323	2000-2009 –> 2010-2019	19.5060373	8.7211014	53239.51265	43.778761	1	2
Indo-Pacific	(26.75,27]	3	cstar_tref ~ temp + aou + nitrate	3774	11.1720827	28936.62748	10.038367	29.1239775	2000-2009 –> 2010-2019	20.3191515	9.1470688	53828.37575	27.430393	2	4
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + aou + nitrate	3774	11.2717927	29003.69396	8.305388	30.1990281	2000-2009 –> 2010-2019	20.5922954	9.3205028	54024.10644	22.486325	3	6
Indo-Pacific	(26.75,27]	2	cstar_tref ~ aou + nitrate	3774	11.2932896	29016.07536	5.807046	30.7714176	2000-2009 –> 2010-2019	20.7056355	9.4123459	54101.65656	14.735299	4	8
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + aou	3774	15.1186877	31219.99956	13.722552	81.4497222	2000-2009 –> 2010-2019	28.7450183	13.6263306	58841.95589	31.055527	5	10
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + aou	3774	15.1583518	31237.77593	1.001330	80.5049260	2000-2009 –> 2010-2019	28.8387733	13.6804215	58884.87010	2.091159	6	12
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + aou	3774	15.3824679	31348.55611	1.007338	79.0518658	2000-2009 –> 2010-2019	29.3105613	13.9280934	59118.55421	2.080083	7	14
Indo-Pacific	(26.75,27]	3	cstar_tref ~ sal + temp + nitrate	3774	15.4052165	31361.71036	15.010871	85.7686276	2000-2009 –> 2010-2019	29.6334480	14.2282315	59279.75197	33.647017	8	16
Indo-Pacific	(26.75,27]	2	cstar_tref ~ temp + nitrate	3774	15.4100726	31362.08930	1.059021	85.2543021	2000-2009 –> 2010-2019	29.6828770	14.2728044	59299.55640	2.382144	9	18
Indo-Pacific	(26.75,27]	2	cstar_tref ~ sal + temp	3774	15.4131798	31363.61105	13.261483	86.1291802	2000-2009 –> 2010-2019	29.7181075	14.3049277	59316.47791	30.219506	10	20
Indo-Pacific	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	4552	5.9416198	29153.17867	29.441802	22.9380442	1982-1999 –> 2000-2009	11.6274792	5.6858594	53056.75545	46.945596	1	2
Indo-Pacific	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	4552	6.0728714	29350.09882	25.702567	24.3561795	1982-1999 –> 2000-2009	11.9793959	5.9065244	53539.82937	35.231193	2	4
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	4552	6.8496258	30445.87879	18.051958	27.4544858	1982-1999 –> 2000-2009	13.9074213	7.0577955	55983.28231	26.515742	3	6
Indo-Pacific	(27,27.25]	2	cstar_tref ~ aou + nitrate	4552	7.8846687	31725.04990	12.521481	32.4268963	1982-1999 –> 2000-2009	18.6145979	10.7299292	60430.72042	18.732408	4	8
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + aou	4552	11.4224496	35101.54291	6.074955	84.7792782	1982-1999 –> 2000-2009	28.8781657	17.4557162	67492.03086	19.604216	5	10
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + aou	4552	11.6671409	35292.50895	1.000000	84.0742915	1982-1999 –> 2000-2009	29.7637156	18.0965747	67953.86499	2.043329	6	12
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + aou	4552	11.9167860	35485.25491	1.000971	84.7115713	1982-1999 –> 2000-2009	30.0281551	18.1113691	68152.79546	2.084595	7	14
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	4552	12.1318046	35650.05713	6.330362	93.1832909	1982-1999 –> 2000-2009	32.1196039	19.9877993	69065.66765	20.956161	8	16
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + nitrate	4552	12.3758587	35829.38344	1.042501	92.1471778	1982-1999 –> 2000-2009	32.6424002	20.2665415	69347.80524	2.043787	9	18
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + nitrate	4552	12.6774632	36048.59106	1.016253	92.6533005	1982-1999 –> 2000-2009	33.0691934	20.3917302	69613.61745	2.022368	11	21
Indo-Pacific	(27,27.25]	4	cstar_tref ~ sal + temp + aou + nitrate	4707	6.7811568	31389.67381	18.751886	23.7145317	2000-2009 –> 2010-2019	12.7227766	5.9416198	60542.85248	48.193687	1	2
Indo-Pacific	(27,27.25]	3	cstar_tref ~ temp + aou + nitrate	4707	7.0535796	31758.46807	15.455543	22.2436771	2000-2009 –> 2010-2019	13.1264511	6.0728714	61108.56690	41.158110	2	4
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + aou + nitrate	4707	7.7653645	32663.51276	10.878384	23.6733681	2000-2009 –> 2010-2019	14.6149903	6.8496258	63109.39155	28.930342	3	6
Indo-Pacific	(27,27.25]	2	cstar_tref ~ aou + nitrate	4707	8.5354534	33551.65428	7.870792	33.2977779	2000-2009 –> 2010-2019	16.4201221	7.8846687	65276.70418	20.392274	4	8
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + aou	4707	12.4049316	37073.22523	6.476089	96.1934690	2000-2009 –> 2010-2019	23.8273812	11.4224496	72174.76814	12.551044	5	10
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + aou	4707	12.6866541	37282.63055	1.000121	95.7433285	2000-2009 –> 2010-2019	24.3537950	11.6671409	72575.13950	2.000121	6	12
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + aou	4707	12.9943741	37508.24568	1.006807	96.1974126	2000-2009 –> 2010-2019	24.9111600	11.9167860	72993.50059	2.007779	8	15
Indo-Pacific	(27,27.25]	3	cstar_tref ~ sal + temp + nitrate	4707	12.9685365	37491.50857	7.134019	103.1912409	2000-2009 –> 2010-2019	25.1003411	12.1318046	73141.56569	13.464381	7	15
Indo-Pacific	(27,27.25]	2	cstar_tref ~ temp + nitrate	4707	13.1632088	37629.77315	1.060799	101.6046307	2000-2009 –> 2010-2019	25.5390675	12.3758587	73459.15658	2.103300	10	19
Indo-Pacific	(27,27.25]	2	cstar_tref ~ sal + temp	4707	13.0333318	37536.42705	6.264918	101.8648349	2000-2009 –> 2010-2019	25.6073610	12.5740292	73510.43493	12.305275	9	19
Indo-Pacific	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	6030	3.7089361	32931.98430	40.322002	14.6793174	1982-1999 –> 2000-2009	7.7872795	4.0783434	59246.93334	48.768305	1	2
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	6030	3.7133946	32944.47274	38.002771	14.3643085	1982-1999 –> 2000-2009	7.8853238	4.1719292	59468.68958	46.000653	2	4
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	6030	5.6641561	38036.34310	21.333357	26.3165288	1982-1999 –> 2000-2009	12.0316703	6.3675142	68497.95846	28.113070	3	6
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	6030	7.3349259	41151.72525	16.068572	31.3582790	1982-1999 –> 2000-2009	17.7847072	10.4497813	76224.24360	21.494326	4	8
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	6030	9.4118944	44160.60824	2.660452	75.0065556	1982-1999 –> 2000-2009	25.8469790	16.4350845	83451.94752	9.188071	5	10
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + aou	6030	9.7414315	44573.63892	1.143609	78.9186521	1982-1999 –> 2000-2009	26.4339482	16.6925167	84007.70689	2.316890	6	12
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + aou	6030	9.8143369	44663.56055	1.064505	77.1553889	1982-1999 –> 2000-2009	26.7555383	16.9412014	84235.33521	2.216156	7	14
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	6030	10.6288187	45627.04156	2.732512	88.0774966	1982-1999 –> 2000-2009	30.9518714	20.3230527	86895.66757	9.530918	8	16
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	6030	10.9537204	45988.16934	1.003473	88.8997913	1982-1999 –> 2000-2009	31.6310668	20.6773465	87415.73359	2.021946	9	18
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	6030	11.1939906	46249.84626	1.062075	92.8925641	1982-1999 –> 2000-2009	31.9906879	20.7966973	87731.00539	2.112069	10	20
Indo-Pacific	(27.25,27.5]	4	cstar_tref ~ sal + temp + aou + nitrate	6098	4.3765852	35321.94859	19.083269	18.9971205	2000-2009 –> 2010-2019	8.0855214	3.7089361	68253.93289	59.405272	1	2
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ temp + aou + nitrate	6098	4.3947221	35370.38517	17.589537	19.4405835	2000-2009 –> 2010-2019	8.1081167	3.7133946	68314.85791	55.592308	2	4
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + aou + nitrate	6098	6.1166563	39402.52042	11.366819	25.4925066	2000-2009 –> 2010-2019	11.7808123	5.6641561	77438.86351	32.700176	3	6
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ aou + nitrate	6098	7.6554111	42137.26804	8.934203	29.6538864	2000-2009 –> 2010-2019	14.9903370	7.3349259	83288.99330	25.002775	4	8
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + aou	6098	10.3716354	45842.72951	2.902547	82.6375496	2000-2009 –> 2010-2019	19.7835298	9.4118944	90003.33775	5.562999	5	10
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + aou	6098	10.6562515	46170.89964	1.036858	87.1260518	2000-2009 –> 2010-2019	20.3976830	9.7414315	90744.53857	2.180467	6	12
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + aou	6098	10.6727599	46189.77884	1.020934	85.6031475	2000-2009 –> 2010-2019	20.4870968	9.8143369	90853.33940	2.085439	7	14
Indo-Pacific	(27.25,27.5]	3	cstar_tref ~ sal + temp + nitrate	6098	11.8273450	47444.54617	2.990827	97.6977424	2000-2009 –> 2010-2019	22.4561637	10.6288187	93071.58773	5.723340	8	16
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ temp + nitrate	6098	12.1026375	47723.16620	1.009289	99.7429495	2000-2009 –> 2010-2019	23.0563579	10.9537204	93711.33554	2.012762	9	18
Indo-Pacific	(27.25,27.5]	2	cstar_tref ~ sal + nitrate	6098	12.3139748	47934.29576	1.001294	102.9672158	2000-2009 –> 2010-2019	23.5079654	11.1939906	94184.14201	2.063368	10	20
Indo-Pacific	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	6651	3.3984192	35159.19499	116.519717	15.9871260	1982-1999 –> 2000-2009	7.4740714	4.0756522	64354.09387	153.237545	1	2
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	6651	3.7114618	36329.30639	114.622909	18.4890362	1982-1999 –> 2000-2009	7.8923587	4.1808969	65785.67081	150.894340	2	4
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	6651	4.2097355	38005.01269	72.260246	28.3177330	1982-1999 –> 2000-2009	9.2760341	5.0662986	69446.38036	98.524277	3	6
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	6651	4.8617377	39918.44896	58.241220	38.5737208	1982-1999 –> 2000-2009	11.6995246	6.8377869	74456.50404	78.324174	7	11
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	6651	4.6130637	39222.04463	1.502413	52.4245039	1982-1999 –> 2000-2009	12.0095880	7.3965243	74573.79478	4.734389	4	9
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + aou	6651	4.6751977	39398.01522	1.107014	51.0150853	1982-1999 –> 2000-2009	12.0718482	7.3966505	74747.94170	2.232298	5	11
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + aou	6651	4.7536830	39619.47009	1.133754	53.1057484	1982-1999 –> 2000-2009	12.3183738	7.5646908	75201.54174	2.370340	6	13
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	6651	5.3152413	41106.75439	1.461658	64.6803875	1982-1999 –> 2000-2009	14.3228340	9.0075927	78494.89837	4.518357	8	16
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	6651	5.3154201	41105.20176	1.070935	64.7731059	1982-1999 –> 2000-2009	14.4486335	9.1332134	78634.46900	2.129041	9	18
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	6651	5.4045466	41326.39434	1.070645	65.0746048	1982-1999 –> 2000-2009	14.5959609	9.1914143	78921.30548	2.171716	10	20
Indo-Pacific	(27.5,27.75]	4	cstar_tref ~ sal + temp + aou + nitrate	7320	3.2780139	38166.42026	86.566949	20.9951596	2000-2009 –> 2010-2019	6.6764331	3.3984192	73325.61524	203.086666	1	2
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ temp + aou + nitrate	7320	3.3552598	38505.40774	86.311117	21.5690590	2000-2009 –> 2010-2019	7.0667216	3.7114618	74834.71413	200.934026	2	4
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + aou + nitrate	7320	4.5456726	42950.79232	46.365875	28.4588287	2000-2009 –> 2010-2019	8.7554080	4.2097355	80955.80501	118.626121	3	6
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + aou	7320	5.0436691	44472.73901	1.750225	53.4397599	2000-2009 –> 2010-2019	9.6567328	4.6130637	83694.78364	3.252638	4	8
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + aou	7320	5.1093726	44660.22187	1.056780	52.2823548	2000-2009 –> 2010-2019	9.7845703	4.6751977	84058.23710	2.163794	5	10
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + aou	7320	5.1294858	44717.73938	1.145278	53.9989102	2000-2009 –> 2010-2019	9.8831688	4.7536830	84337.20947	2.279032	6	12
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ aou + nitrate	7320	5.2004278	44918.82667	38.128974	37.9446900	2000-2009 –> 2010-2019	10.0621655	4.8617377	84837.27563	96.370193	7	14
Indo-Pacific	(27.5,27.75]	3	cstar_tref ~ sal + temp + nitrate	7320	5.8003668	46519.22588	1.668154	65.2830550	2000-2009 –> 2010-2019	11.1156081	5.3152413	87625.98027	3.129812	8	16
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ sal + nitrate	7320	5.8023761	46522.29648	1.028580	65.5572336	2000-2009 –> 2010-2019	11.1177962	5.3154201	87627.49824	2.099515	9	18
Indo-Pacific	(27.5,27.75]	2	cstar_tref ~ temp + nitrate	7320	5.8821400	46722.17827	1.062179	65.8412448	2000-2009 –> 2010-2019	11.2866866	5.4045466	88048.57260	2.132824	10	20
Indo-Pacific	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	3217	1.5345730	11896.82486	103.182700	8.0401808	1982-1999 –> 2000-2009	3.2766923	1.7421193	21518.45601	189.943518	1	2
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	3217	1.5445271	11936.42482	101.468178	8.3671701	1982-1999 –> 2000-2009	3.3026674	1.7581403	21600.61877	185.492026	2	4
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	3217	1.8527158	13106.99307	2.979902	7.7731758	1982-1999 –> 2000-2009	3.8118589	1.9591431	23298.15087	10.723135	3	6
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + aou	3217	1.8816140	13204.57453	1.032122	7.4704420	1982-1999 –> 2000-2009	3.8862697	2.0046556	23505.52643	2.085742	4	8
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	3217	2.1992898	14210.30795	101.459569	18.1317177	1982-1999 –> 2000-2009	4.2494863	2.0501965	24622.61141	187.499121	5	10
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + aou	3217	2.3665714	14679.97001	1.003053	14.0708270	1982-1999 –> 2000-2009	4.5785913	2.2120198	25460.09739	2.022879	6	12
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	3217	2.4199291	14825.42238	2.964332	9.9508008	1982-1999 –> 2000-2009	4.9143491	2.4944200	26192.44088	10.673137	7	14
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	3217	2.4560668	14918.79342	1.019423	10.3544809	1982-1999 –> 2000-2009	5.0131980	2.5571312	26404.68328	2.042857	8	16
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	3217	2.7693876	15691.29146	87.567587	23.3099088	1982-1999 –> 2000-2009	5.4023782	2.6329907	27319.49404	143.894016	10	19
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	3217	2.7685393	15689.32049	1.000247	10.6301618	1982-1999 –> 2000-2009	5.4278880	2.6593486	27366.01265	2.004085	9	19
Indo-Pacific	(27.75,27.85]	4	cstar_tref ~ sal + temp + aou + nitrate	3851	1.6016024	14568.34218	151.917685	8.8880919	2000-2009 –> 2010-2019	3.1361754	1.5345730	26465.16704	255.100385	1	2
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ temp + aou + nitrate	3851	1.6045128	14580.32529	145.190568	8.8613761	2000-2009 –> 2010-2019	3.1490399	1.5445271	26516.75011	246.658746	2	4
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + aou	3851	1.8070587	15495.94199	3.825492	8.5624807	2000-2009 –> 2010-2019	3.6597745	1.8527158	28602.93506	6.805394	3	6
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + aou	3851	1.8321000	15599.93962	1.082406	8.4481612	2000-2009 –> 2010-2019	3.7137141	1.8816140	28804.51415	2.114528	4	8
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + aou + nitrate	3851	2.0397490	16428.85615	151.311972	19.9554696	2000-2009 –> 2010-2019	4.2390388	2.1992898	30639.16410	252.771542	5	10
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + aou	3851	2.1907217	16976.81188	1.006771	13.1893061	2000-2009 –> 2010-2019	4.5572931	2.3665714	31656.78188	2.009824	7	13
Indo-Pacific	(27.75,27.85]	3	cstar_tref ~ sal + temp + nitrate	3851	2.1793832	16938.84540	3.813698	8.5471251	2000-2009 –> 2010-2019	4.5993123	2.4199291	31764.26778	6.778030	6	13
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ temp + nitrate	3851	2.2189108	17075.28513	1.061214	8.3137688	2000-2009 –> 2010-2019	4.6749776	2.4560668	31994.07855	2.080637	8	16
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ sal + nitrate	3851	2.4745863	17915.24045	1.001671	7.7365871	2000-2009 –> 2010-2019	5.2431256	2.7685393	33604.56094	2.001918	9	18
Indo-Pacific	(27.75,27.85]	2	cstar_tref ~ aou + nitrate	3851	2.6006952	18298.07272	120.183150	19.8082590	2000-2009 –> 2010-2019	5.3700827	2.7693876	33989.36419	207.750737	10	20
Indo-Pacific	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	4244	1.1081965	12927.95549	65.187431	8.7303255	1982-1999 –> 2000-2009	2.4248765	1.3166801	23527.78054	127.090181	1	2
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	4244	1.1146297	12975.08709	63.873547	9.0421925	1982-1999 –> 2000-2009	2.4377197	1.3230900	23603.26496	125.299241	2	4
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	4244	2.0962643	18336.40180	56.944489	13.6028878	1982-1999 –> 2000-2009	4.0745591	1.9782948	31478.73803	111.161014	3	6
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	4244	2.1265832	18458.28695	2.809057	11.3250713	1982-1999 –> 2000-2009	4.2161735	2.0895902	31942.70268	7.295177	4	8
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + aou	4244	2.1353281	18491.11955	1.009357	11.6897879	1982-1999 –> 2000-2009	4.2537882	2.1184601	32059.29455	2.041359	5	10
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + aou	4244	2.4483456	19652.21175	1.033395	11.9195246	1982-1999 –> 2000-2009	4.7647960	2.3164505	33778.80287	2.033485	6	12
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	4244	2.7460504	20626.21943	37.039584	18.4110404	1982-1999 –> 2000-2009	5.3042666	2.5582162	35373.27413	68.094919	7	14
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	4244	2.8618496	20978.81182	2.853956	14.3474772	1982-1999 –> 2000-2009	5.6828752	2.8210256	36339.05576	7.245226	8	16
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	4244	2.8681244	20995.40187	1.000107	14.6530973	1982-1999 –> 2000-2009	5.7108348	2.8427104	36401.50499	2.002705	9	18
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	4244	2.9697579	21290.97208	1.080458	14.6555795	1982-1999 –> 2000-2009	5.8521544	2.8823966	36783.72595	2.096744	10	20
Indo-Pacific	(27.85,27.95]	4	cstar_tref ~ sal + temp + aou + nitrate	5425	1.0456312	15891.61805	86.994050	7.3838239	2000-2009 –> 2010-2019	2.1538277	1.1081965	28819.57354	152.181480	1	2
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ temp + aou + nitrate	5425	1.0458373	15891.75636	85.818078	7.3596064	2000-2009 –> 2010-2019	2.1604670	1.1146297	28866.84345	149.691625	2	4
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + aou	5425	1.6514182	20848.21700	2.452485	6.4239653	2000-2009 –> 2010-2019	3.7780015	2.1265832	39306.50394	5.261542	3	7
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + aou	5425	1.6630013	20922.05302	1.035546	6.4200224	2000-2009 –> 2010-2019	3.7983294	2.1353281	39413.17257	2.044903	4	9
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + aou + nitrate	5425	1.9000932	22370.13022	79.961239	14.6445182	2000-2009 –> 2010-2019	3.9963576	2.0962643	40706.53202	136.905728	5	8
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + aou	5425	2.0929677	23417.10861	1.026692	8.8318219	2000-2009 –> 2010-2019	4.5413132	2.4483456	43069.32036	2.060087	6	12
Indo-Pacific	(27.85,27.95]	3	cstar_tref ~ sal + temp + nitrate	5425	2.2336220	24124.80852	2.467775	8.0543808	2000-2009 –> 2010-2019	5.0954716	2.8618496	45103.62034	5.321731	7	15
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ temp + nitrate	5425	2.2434857	24170.61695	1.013750	8.0098862	2000-2009 –> 2010-2019	5.1116101	2.8681244	45166.01882	2.013857	8	17
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ aou + nitrate	5425	2.4081690	24939.18702	60.281761	17.8011762	2000-2009 –> 2010-2019	5.1542194	2.7460504	45565.40645	97.321345	9	16
Indo-Pacific	(27.85,27.95]	2	cstar_tref ~ sal + nitrate	5425	2.4495930	25124.23569	1.052310	7.7691556	2000-2009 –> 2010-2019	5.4193509	2.9697579	46415.20777	2.132767	10	20
Indo-Pacific	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	7956	1.0111792	22767.04631	83.884352	7.2511312	1982-1999 –> 2000-2009	2.2256793	1.2145001	42280.26677	174.920402	1	2
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	7956	1.1715287	25107.16970	83.556311	9.8853200	1982-1999 –> 2000-2009	2.4665420	1.2950133	45394.30014	173.564591	2	4
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	7956	1.3139429	26932.64204	55.053938	6.3287274	1982-1999 –> 2000-2009	2.6780302	1.3640873	47847.92091	113.867834	3	6
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	7956	1.7422342	31421.98780	4.708749	9.2240371	1982-1999 –> 2000-2009	3.4681440	1.7259098	55181.19507	9.883403	4	9
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + aou	7956	1.7424977	31422.39422	1.055882	9.1691852	1982-1999 –> 2000-2009	3.4718662	1.7293685	55203.80147	2.071876	5	11
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + aou	7956	1.7807912	31768.29257	1.044901	9.4123538	1982-1999 –> 2000-2009	3.5217229	1.7409317	55630.25584	2.097767	6	13
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	7956	1.9320604	33065.58619	19.528212	12.0601473	1982-1999 –> 2000-2009	3.6494044	1.7173441	56762.65106	37.903354	7	11
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	7956	2.1432310	34718.09825	4.814482	9.8534804	1982-1999 –> 2000-2009	4.2425719	2.0993409	60844.97148	9.923813	8	16
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	7956	2.1950984	35096.59226	1.000090	10.1630231	1982-1999 –> 2000-2009	4.3116132	2.1165148	61319.95020	2.000360	9	18
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	7956	2.2013991	35142.19976	1.191600	10.7277939	1982-1999 –> 2000-2009	4.3889821	2.1875830	61764.78222	2.300916	10	20
Indo-Pacific	(27.95,28.05]	4	cstar_tref ~ sal + temp + aou + nitrate	9585	0.7980847	22889.43923	110.639080	8.3643123	2000-2009 –> 2010-2019	1.8092639	1.0111792	45656.48554	194.523433	1	2
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ temp + aou + nitrate	9585	0.9845932	26913.40452	110.149380	9.7492106	2000-2009 –> 2010-2019	2.1561219	1.1715287	52020.57422	193.705691	2	4
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + aou + nitrate	9585	1.0762494	28619.70581	72.589258	9.1653503	2000-2009 –> 2010-2019	2.3901923	1.3139429	55552.34785	127.643196	3	6
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + aou	9585	1.2213166	31043.69887	2.977177	5.5332646	2000-2009 –> 2010-2019	2.9635507	1.7422342	62465.68668	7.685925	4	8
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + aou	9585	1.2447606	31406.19356	1.132499	6.3635554	2000-2009 –> 2010-2019	2.9872583	1.7424977	62828.58777	2.188381	5	10
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + aou	9585	1.2971691	32196.78422	1.077855	6.8086399	2000-2009 –> 2010-2019	3.0779603	1.7807912	63965.07680	2.122756	6	12
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ aou + nitrate	9585	1.5888885	36085.42761	38.714932	13.3887668	2000-2009 –> 2010-2019	3.5209489	1.9320604	69151.01380	58.243144	8	15
Indo-Pacific	(27.95,28.05]	3	cstar_tref ~ sal + temp + nitrate	9585	1.5849598	36039.96862	3.038696	6.3186556	2000-2009 –> 2010-2019	3.7281908	2.1432310	70758.06687	7.853178	7	15
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ sal + nitrate	9585	1.5960671	36171.84170	1.241122	6.9620827	2000-2009 –> 2010-2019	3.7974662	2.2013991	71314.04146	2.432722	9	19
Indo-Pacific	(27.95,28.05]	2	cstar_tref ~ temp + nitrate	9585	1.6579710	36901.29943	1.020729	5.9827709	2000-2009 –> 2010-2019	3.8530694	2.1950984	71997.89169	2.020819	10	19
Indo-Pacific	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	5320	0.7195266	11607.22420	82.013486	7.2057657	1982-1999 –> 2000-2009	1.6118447	0.8923181	22087.98169	184.633979	1	2
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	5320	0.7207138	11622.76590	71.902037	7.5146680	1982-1999 –> 2000-2009	1.6131210	0.8924072	22102.32451	157.264709	2	4
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	5320	1.0514727	15641.54613	78.359927	9.4352824	1982-1999 –> 2000-2009	2.0835597	1.0320870	27287.62982	163.689639	3	6
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	5320	1.4424035	19003.05277	13.213573	10.2857113	1982-1999 –> 2000-2009	2.5486858	1.1062823	31204.04077	25.328926	7	11
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	5320	1.3764578	18507.12829	14.485934	5.7812040	1982-1999 –> 2000-2009	2.5923039	1.2158461	31467.67442	24.887421	4	9
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + aou	5320	1.4188022	18827.51638	1.273760	7.0668334	1982-1999 –> 2000-2009	2.6390306	1.2202284	31814.92440	2.586201	6	12
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + aou	5320	1.3969401	18662.28958	1.000756	6.3302503	1982-1999 –> 2000-2009	2.6402601	1.2433200	31800.08771	2.008162	5	12
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	5320	1.5535600	19794.94792	12.775245	5.3041134	1982-1999 –> 2000-2009	2.9382772	1.3847172	33798.80141	22.121594	8	16
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	5320	1.6281297	20291.78157	1.054928	6.1981645	1982-1999 –> 2000-2009	3.0159062	1.3877766	34311.33893	2.115861	9	18
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	5320	1.6543924	20462.04166	1.051852	6.6606036	1982-1999 –> 2000-2009	3.1262615	1.4718691	34953.53518	2.086510	10	20
Indo-Pacific	(28.05,28.1]	4	cstar_tref ~ sal + temp + aou + nitrate	7825	0.6588101	15687.33155	62.958017	7.0876101	2000-2009 –> 2010-2019	1.3783367	0.7195266	27294.55576	144.971503	1	2
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + aou + nitrate	7825	0.6786612	16149.92762	62.055451	7.0350185	2000-2009 –> 2010-2019	1.3993750	0.7207138	27772.69352	133.957488	2	4
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ temp + aou + nitrate	7825	0.8695577	20028.97772	60.157211	9.1881052	2000-2009 –> 2010-2019	1.9210304	1.0514727	35670.52384	138.517138	3	6
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + aou	7825	1.1843519	24864.30147	7.978991	6.2660211	2000-2009 –> 2010-2019	2.5608097	1.3764578	43371.42976	22.464926	4	8
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + aou	7825	1.1853755	24875.82033	1.040283	6.2548129	2000-2009 –> 2010-2019	2.5823155	1.3969401	43538.10992	2.041039	5	10
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + aou	7825	1.1960739	25016.43405	1.291630	7.0133134	2000-2009 –> 2010-2019	2.6148762	1.4188022	43843.95042	2.565390	6	12
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ aou + nitrate	7825	1.2907978	26209.21450	20.659290	13.0312469	2000-2009 –> 2010-2019	2.7332013	1.4424035	45212.26726	33.872864	7	14
Indo-Pacific	(28.05,28.1]	3	cstar_tref ~ sal + temp + nitrate	7825	1.4148120	27646.88586	7.477337	4.9082820	2000-2009 –> 2010-2019	2.9683720	1.5535600	47441.83378	20.252582	8	16
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ temp + nitrate	7825	1.4484698	28012.83338	1.109048	6.2002668	2000-2009 –> 2010-2019	3.0765995	1.6281297	48304.61495	2.163976	10	19
Indo-Pacific	(28.05,28.1]	2	cstar_tref ~ sal + nitrate	7825	1.4413195	27935.38644	1.156775	4.8311605	2000-2009 –> 2010-2019	3.0957119	1.6543924	48397.42810	2.208627	9	19
Indo-Pacific	(28.1,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	8047	0.8030461	19318.28720	35.560741	14.1049803	1982-1999 –> 2000-2009	1.6108909	0.8078448	37546.19680	72.680398	1	2
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + aou + nitrate	8047	0.8259701	19769.27684	33.814396	13.3689219	1982-1999 –> 2000-2009	1.6440862	0.8181161	38186.08987	67.905243	2	4
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ temp + aou + nitrate	8047	1.3610123	27807.03019	22.351921	8.7648604	1982-1999 –> 2000-2009	2.4441118	1.0830996	50463.37590	47.197747	5	8
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ aou + nitrate	8047	1.4262196	28558.20666	8.744304	8.4585524	1982-1999 –> 2000-2009	2.5395611	1.1133414	51628.66496	17.839707	7	11
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + aou	8047	1.3378950	27531.31932	6.073788	5.5337027	1982-1999 –> 2000-2009	2.6813071	1.3434121	53442.14524	11.607804	3	8
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + aou	8047	1.3487161	27658.96699	1.321244	5.9961609	1982-1999 –> 2000-2009	2.7186603	1.3699442	53863.30262	2.901898	4	11
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + aou	8047	1.4197622	28485.17267	3.011198	7.0816698	1982-1999 –> 2000-2009	2.7647100	1.3449478	54411.26100	5.541058	6	12
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + nitrate	8047	1.4617218	28955.92098	5.778129	5.1164808	1982-1999 –> 2000-2009	2.9785440	1.5168222	56701.17296	10.944622	8	16
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + nitrate	8047	1.5285720	29673.62760	1.759719	5.8801228	1982-1999 –> 2000-2009	3.0455327	1.5169607	57418.25867	3.323715	10	19
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + temp	8047	1.4912872	29276.19750	2.358797	5.6462332	1982-1999 –> 2000-2009	3.1322547	1.6409675	58208.13035	5.751058	9	20
Indo-Pacific	(28.1,28.2]	4	cstar_tref ~ sal + temp + aou + nitrate	10446	0.9047159	27564.45899	34.982443	10.9437156	2000-2009 –> 2010-2019	1.7077620	0.8030461	46882.74619	70.543184	1	2
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + aou + nitrate	10446	0.9486066	28552.17798	34.744421	10.0820937	2000-2009 –> 2010-2019	1.7745767	0.8259701	48321.45482	68.558817	2	4
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + aou	10446	1.2845421	34885.86884	4.281313	6.3640049	2000-2009 –> 2010-2019	2.6224371	1.3378950	62417.18816	10.355101	3	6
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + aou	10446	1.2920780	35006.07628	1.219617	6.8658214	2000-2009 –> 2010-2019	2.6407941	1.3487161	62665.04327	2.540861	4	8
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ temp + aou + nitrate	10446	1.3398568	35766.68483	17.881464	13.2738799	2000-2009 –> 2010-2019	2.7008691	1.3610123	63573.71503	40.233385	5	10
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ aou + nitrate	10446	1.3520032	35953.22616	10.905352	13.4379201	2000-2009 –> 2010-2019	2.7782228	1.4262196	64511.43282	19.649656	6	13
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + aou	10446	1.3601477	36078.70238	3.118577	11.7850334	2000-2009 –> 2010-2019	2.7799098	1.4197622	64563.87504	6.129775	7	13
Indo-Pacific	(28.1,28.2]	3	cstar_tref ~ sal + temp + nitrate	10446	1.4155601	36914.96182	4.366747	6.0859756	2000-2009 –> 2010-2019	2.8772818	1.4617218	65870.88280	10.144876	8	16
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ sal + temp	10446	1.4743135	37762.58017	1.614607	5.5966605	2000-2009 –> 2010-2019	2.9656007	1.4912872	67038.77767	3.973404	11	20
Indo-Pacific	(28.1,28.2]	2	cstar_tref ~ temp + nitrate	10446	1.4507560	37426.05879	2.134021	9.9787311	2000-2009 –> 2010-2019	2.9793280	1.5285720	67099.68639	3.893740	9	19
Indo-Pacific	(28.2,28.3]	4	cstar_tref ~ sal + temp + aou + nitrate	1169	0.6870944	2452.06535	40.347257	1.9324782	1982-1999 –> 2000-2009	1.1232498	0.4361554	4044.25091	104.887153	1	2
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ temp + aou + nitrate	1169	0.7095295	2525.18607	34.501072	2.9134731	1982-1999 –> 2000-2009	1.1720445	0.4625150	4272.75273	95.610650	5	7
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + aou + nitrate	1169	0.6921920	2467.34701	33.585526	1.9629096	1982-1999 –> 2000-2009	1.2460686	0.5538766	4698.37894	64.226836	3	6
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + nitrate	1169	0.6875639	2451.66232	16.304883	1.8904602	1982-1999 –> 2000-2009	1.2711761	0.5836121	4822.94844	23.373325	2	7
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + nitrate	1169	0.7165890	2546.33331	1.621572	2.4192960	1982-1999 –> 2000-2009	1.3039547	0.5873657	4932.81376	3.463266	6	12
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ aou + nitrate	1169	0.7508948	2655.66525	7.378551	3.4963748	1982-1999 –> 2000-2009	1.3051874	0.5542926	4886.71075	17.746715	7	11
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + aou	1169	0.8318208	2896.96314	19.036909	2.2362967	1982-1999 –> 2000-2009	1.4711490	0.6393282	5512.79737	26.379411	8	15
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + aou	1169	0.8546056	2958.14290	3.248593	2.1180216	1982-1999 –> 2000-2009	1.5009181	0.6463125	5601.11788	6.877449	9	17
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + nitrate	1169	0.6952811	2475.75784	2.589348	2.1048826	1982-1999 –> 2000-2009	1.7707408	1.0754597	6484.46158	4.725221	4	14
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + temp	1169	1.2125716	3776.11235	7.682610	6.0989098	1982-1999 –> 2000-2009	1.8968841	0.6843125	6572.31397	13.770557	11	20
Indo-Pacific	(28.2,28.3]	4	cstar_tref ~ sal + temp + aou + nitrate	1656	0.4493273	2061.91223	44.709403	5.1351015	2000-2009 –> 2010-2019	1.1364217	0.6870944	4513.97758	85.056660	1	2
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + aou + nitrate	1656	0.4658567	2179.56326	44.661950	4.7312723	2000-2009 –> 2010-2019	1.1580487	0.6921920	4646.91027	78.247476	2	5
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + nitrate	1656	0.5275196	2591.27077	20.613633	4.8573786	2000-2009 –> 2010-2019	1.2150835	0.6875639	5042.93309	36.918516	5	7
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + nitrate	1656	0.5438003	2689.94259	2.477242	4.4192007	2000-2009 –> 2010-2019	1.2390814	0.6952811	5165.70043	5.066590	6	10
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ temp + aou + nitrate	1656	0.6236557	3145.74097	27.031982	3.0901774	2000-2009 –> 2010-2019	1.3331852	0.7095295	5670.92704	61.533054	7	12
Indo-Pacific	(28.2,28.3]	3	cstar_tref ~ sal + temp + aou	1656	0.5015189	2423.86719	33.680017	4.7176582	2000-2009 –> 2010-2019	1.3333398	0.8318208	5320.83033	52.716926	3	11
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + nitrate	1656	0.6236816	3143.87865	1.281349	3.1166550	2000-2009 –> 2010-2019	1.3402707	0.7165890	5690.21196	2.902921	8	14
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ aou + nitrate	1656	0.6756442	3408.92657	6.515578	3.1920041	2000-2009 –> 2010-2019	1.4265389	0.7508948	6064.59182	13.894129	9	16
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ sal + aou	1656	0.5020239	2425.20007	8.665409	4.6563013	2000-2009 –> 2010-2019	1.4367806	0.9347567	5592.93592	16.121386	4	14
Indo-Pacific	(28.2,28.3]	2	cstar_tref ~ temp + aou	1656	0.6804188	3432.24936	2.158714	2.1724829	2000-2009 –> 2010-2019	1.5350244	0.8546056	6390.39226	5.407306	10	19
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ aou + nitrate	62	0.0178347	-315.35127	921.264163	0.0348236	1982-1999 –> 2000-2009	0.5061418	0.4883071	-58.79805	1128.288491	1	2
Indo-Pacific	(28.3, Inf]	3	cstar_tref ~ sal + temp + nitrate	62	0.0283625	-255.82484	173.645158	0.0578037	1982-1999 –> 2000-2009	0.5404841	0.5121216	19.58499	364.354402	2	4
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + nitrate	62	0.0382064	-220.88096	65.870876	0.0847715	1982-1999 –> 2000-2009	0.5507777	0.5125713	52.83961	69.239181	4	7
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ temp + nitrate	62	0.0283718	-257.78408	148.681918	0.0570807	1982-1999 –> 2000-2009	0.6447237	0.6163519	81.20637	281.830115	3	9
Indo-Pacific	(28.3, Inf]	3	cstar_tref ~ sal + temp + aou	62	0.1049150	-93.62265	200.987861	0.2387909	1982-1999 –> 2000-2009	0.6713319	0.5664170	217.45921	505.992326	5	9
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + aou	62	0.1054605	-94.97959	75.580821	0.2361036	1982-1999 –> 2000-2009	0.7353488	0.6298883	251.70133	79.419023	7	14
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + temp	62	0.1925956	-20.29981	70.364805	0.3397783	1982-1999 –> 2000-2009	0.7625306	0.5699350	290.97396	74.238511	8	13
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ temp + aou	62	0.1050457	-95.46819	173.273624	0.2415454	1982-1999 –> 2000-2009	0.8649383	0.7598925	317.63535	475.482041	6	14
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + aou	16	0.0197453	-72.18882	490.433364	0.0538995	2000-2009 –> 2010-2019	0.1252058	0.1054605	-167.16841	566.014186	2	3
Indo-Pacific	(28.3, Inf]	2	cstar_tref ~ sal + temp	16	0.0196629	-72.32263	349.078116	0.0564806	2000-2009 –> 2010-2019	0.2122585	0.1925956	-92.62244	419.442922	1	3

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	18.1285612	3555.9826
Atlantic	(-Inf,26]	2000-2009 –> 2010-2019	16.8451894	3672.7945
Atlantic	(26,26.5]	1982-1999 –> 2000-2009	15.3658162	11567.5852
Atlantic	(26,26.5]	2000-2009 –> 2010-2019	15.4105483	12108.1298
Atlantic	(26.5,26.75]	1982-1999 –> 2000-2009	12.0502093	11107.4263
Atlantic	(26.5,26.75]	2000-2009 –> 2010-2019	11.9462905	10720.3757
Atlantic	(26.75,27]	1982-1999 –> 2000-2009	11.7808548	16753.3883
Atlantic	(26.75,27]	2000-2009 –> 2010-2019	12.1320602	15344.2972
Atlantic	(27,27.25]	1982-1999 –> 2000-2009	10.9560163	22315.7173
Atlantic	(27,27.25]	2000-2009 –> 2010-2019	13.2843426	19842.8085
Atlantic	(27.25,27.5]	1982-1999 –> 2000-2009	9.3798907	26594.1794
Atlantic	(27.25,27.5]	2000-2009 –> 2010-2019	10.8128314	26095.5436
Atlantic	(27.5,27.75]	1982-1999 –> 2000-2009	10.0005220	36951.8495
Atlantic	(27.5,27.75]	2000-2009 –> 2010-2019	12.0019674	37450.3218
Atlantic	(27.75,27.85]	1982-1999 –> 2000-2009	13.9319719	23532.3123
Atlantic	(27.75,27.85]	2000-2009 –> 2010-2019	16.3500468	25910.4005
Atlantic	(27.85,27.95]	1982-1999 –> 2000-2009	14.7774579	69890.9154
Atlantic	(27.85,27.95]	2000-2009 –> 2010-2019	18.1426414	76360.0593
Atlantic	(27.95,28.05]	1982-1999 –> 2000-2009	13.2271227	55001.2724
Atlantic	(27.95,28.05]	2000-2009 –> 2010-2019	17.8215588	56496.7562
Atlantic	(28.05,28.1]	1982-1999 –> 2000-2009	6.1564780	21173.6109
Atlantic	(28.05,28.1]	2000-2009 –> 2010-2019	6.6800896	21985.6131
Atlantic	(28.1,28.15]	1982-1999 –> 2000-2009	5.4531473	16379.0323
Atlantic	(28.1,28.15]	2000-2009 –> 2010-2019	5.4267100	19173.5902
Atlantic	(28.15,28.2]	1982-1999 –> 2000-2009	2.9121980	5906.3781
Atlantic	(28.15,28.2]	2000-2009 –> 2010-2019	2.8988693	7158.1215
Atlantic	(28.2, Inf]	1982-1999 –> 2000-2009	3.4787024	7516.0530
Atlantic	(28.2, Inf]	2000-2009 –> 2010-2019	2.8962666	6602.5194
Indo-Pacific	(-Inf,26]	1982-1999 –> 2000-2009	30.2116507	48479.4224
Indo-Pacific	(-Inf,26]	2000-2009 –> 2010-2019	29.6592431	73931.2863
Indo-Pacific	(26,26.5]	1982-1999 –> 2000-2009	31.0015086	46074.4968
Indo-Pacific	(26,26.5]	2000-2009 –> 2010-2019	31.6601548	51118.2144
Indo-Pacific	(26.5,26.75]	1982-1999 –> 2000-2009	29.3873939	41809.9147
Indo-Pacific	(26.5,26.75]	2000-2009 –> 2010-2019	30.1963185	44026.0920
Indo-Pacific	(26.75,27]	1982-1999 –> 2000-2009	26.6668551	50152.7889
Indo-Pacific	(26.75,27]	2000-2009 –> 2010-2019	25.7051905	56993.4818
Indo-Pacific	(27,27.25]	1982-1999 –> 2000-2009	24.2630128	63463.6369
Indo-Pacific	(27,27.25]	2000-2009 –> 2010-2019	20.6223446	68789.2081
Indo-Pacific	(27.25,27.5]	1982-1999 –> 2000-2009	21.9099072	77717.5221
Indo-Pacific	(27.25,27.5]	2000-2009 –> 2010-2019	17.2653584	84986.4929
Indo-Pacific	(27.5,27.75]	1982-1999 –> 2000-2009	11.6109227	73461.6600
Indo-Pacific	(27.5,27.75]	2000-2009 –> 2010-2019	9.5405291	82934.5691
Indo-Pacific	(27.75,27.85]	1982-1999 –> 2000-2009	4.3863379	24728.8092
Indo-Pacific	(27.75,27.85]	2000-2009 –> 2010-2019	4.2342534	30403.7584
Indo-Pacific	(27.85,27.95]	1982-1999 –> 2000-2009	4.4722044	32128.8144
Indo-Pacific	(27.85,27.95]	2000-2009 –> 2010-2019	4.1208948	40243.2199
Indo-Pacific	(27.95,28.05]	1982-1999 –> 2000-2009	3.4424556	54223.0095
Indo-Pacific	(27.95,28.05]	2000-2009 –> 2010-2019	3.0284023	62570.9773
Indo-Pacific	(28.05,28.1]	1982-1999 –> 2000-2009	2.4809251	30082.8339
Indo-Pacific	(28.05,28.1]	2000-2009 –> 2010-2019	2.4330628	41084.7407
Indo-Pacific	(28.1,28.2]	1982-1999 –> 2000-2009	2.5559659	51186.8598
Indo-Pacific	(28.1,28.2]	2000-2009 –> 2010-2019	2.5826782	61294.4802
Indo-Pacific	(28.2,28.3]	1982-1999 –> 2000-2009	1.4061373	5182.8546
Indo-Pacific	(28.2,28.3]	2000-2009 –> 2010-2019	1.3153775	5409.9411
Indo-Pacific	(28.3, Inf]	1982-1999 –> 2000-2009	0.6595346	146.5753
Indo-Pacific	(28.3, Inf]	2000-2009 –> 2010-2019	0.1687321	-129.8954

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
3611a48	Donghe-Zhu	2021-08-01
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
3611a48	Donghe-Zhu	2021-08-01
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]	6	6	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	94.00	94.00	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]	4	4	5	5
total	94.00	93.00	84.00	85.00
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	6	7
(28.2,28.3]	7	7	6	6
(28.3, Inf]	1	0	2	1
total	92.00	85.00	83.00	82.00

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
3611a48	Donghe-Zhu	2021-08-01
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
3611a48	Donghe-Zhu	2021-08-01
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