Anomalous changes
Jens Daniel Müller
05 July, 2021
Last updated: 2021-07-05
Checks: 7 0
Knit directory: emlr_obs_analysis/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | bf6bd95 | jens-daniel-mueller | 2021-07-05 | Build site. |
| Rmd | e189a01 | jens-daniel-mueller | 2021-07-05 | test gap filled output |
| html | f07d4a3 | jens-daniel-mueller | 2021-07-05 | Build site. |
| Rmd | 1d4194a | jens-daniel-mueller | 2021-07-05 | test gap filled output |
| html | 8f3f68d | jens-daniel-mueller | 2021-07-01 | Build site. |
| Rmd | 15d6c34 | jens-daniel-mueller | 2021-07-01 | pre- vs all post-2000 data cases added |
| html | 6953a59 | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | 946faca | jens-daniel-mueller | 2021-06-30 | added zero rarefication results |
| html | f5fc274 | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | 13e5163 | jens-daniel-mueller | 2021-06-30 | plotted vif max and rarefication results |
| html | d03fc2d | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | df977d3 | jens-daniel-mueller | 2021-06-30 | plotted vif max and rarefication results |
| html | 8198590 | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | 2c23169 | jens-daniel-mueller | 2021-06-30 | plotted vif max and rarefication results |
| Rmd | 4872385 | jens-daniel-mueller | 2021-06-30 | manual commit |
| html | ea89b3a | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | 1b7246d | jens-daniel-mueller | 2021-06-30 | additive era budgets |
| html | 00f2062 | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | f20bc36 | jens-daniel-mueller | 2021-06-30 | revised basin era analysis |
| html | 44ebe55 | jens-daniel-mueller | 2021-06-30 | Build site. |
| Rmd | 58f1510 | jens-daniel-mueller | 2021-06-30 | rebuild with new emlr runs |
| html | bd59fee | jens-daniel-mueller | 2021-06-24 | Build site. |
| Rmd | 3f83481 | jens-daniel-mueller | 2021-06-24 | correct section plots |
| html | 9e654c6 | jens-daniel-mueller | 2021-06-24 | Build site. |
| Rmd | 25bb31b | jens-daniel-mueller | 2021-06-24 | correct section plots |
| html | 7c82c58 | jens-daniel-mueller | 2021-06-24 | Build site. |
| Rmd | c551d55 | jens-daniel-mueller | 2021-06-24 | bias correlation for column inventory |
| html | ea6d3bb | jens-daniel-mueller | 2021-06-24 | Build site. |
| Rmd | e09bf25 | jens-daniel-mueller | 2021-06-24 | new bias labels |
| html | 3a63509 | jens-daniel-mueller | 2021-06-24 | Build site. |
| Rmd | 5d72d3c | jens-daniel-mueller | 2021-06-24 | new bias labels |
| html | e12c681 | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 7884e68 | jens-daniel-mueller | 2021-06-23 | new bias labels |
| html | 7a50288 | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 26c6754 | jens-daniel-mueller | 2021-06-23 | new bias labels |
| html | 4d6ce3e | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 47093ed | jens-daniel-mueller | 2021-06-23 | added budget plots |
| html | 1916d70 | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 03f3ec3 | jens-daniel-mueller | 2021-06-23 | revised zonal section plots |
| html | d285c6f | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 8b4c6ee | jens-daniel-mueller | 2021-06-23 | revised zonal section plots |
| html | 47a9f1f | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | e2523c0 | jens-daniel-mueller | 2021-06-23 | revised zonal section plots |
| html | f415eba | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 01d036b | jens-daniel-mueller | 2021-06-23 | revised zonal section plots |
| html | 909da16 | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | 092f3af | jens-daniel-mueller | 2021-06-23 | include zonal section plots |
| html | ba685e0 | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | b66210a | jens-daniel-mueller | 2021-06-23 | include zonal section plots |
| html | 45279c2 | jens-daniel-mueller | 2021-06-23 | Build site. |
| Rmd | e097035 | jens-daniel-mueller | 2021-06-23 | plot anomalous changes for all cases |
| html | 8b2e4d3 | jens-daniel-mueller | 2021-06-22 | Build site. |
| html | 2d9fe37 | jens-daniel-mueller | 2021-06-22 | Build site. |
| Rmd | 8117a69 | jens-daniel-mueller | 2021-06-22 | test build |
1 Data preparation
Version_IDs <- list.files(
path = "/nfs/kryo/work/jenmueller/emlr_cant/observations",
pattern = "v_3")
# Version_IDs <- Version_IDs[1:4]1.1 Read files
Following sensitivity cases were considered:
for (i_Version_IDs in Version_IDs) {
# i_Version_IDs <- Version_IDs[1]
print(i_Version_IDs)
path_version_data <-
paste(path_observations,
i_Version_IDs,
"/data/",
sep = "")
# read inventory file
cant_inv <-
read_csv(paste(path_version_data,
"anom_cant_mod_inv_bias.csv",
sep = ""))
cant_inv <- cant_inv %>%
mutate(Version_ID = i_Version_IDs)
# read section file
cant_section <-
read_csv(paste(path_version_data,
"anom_cant_mod_section_bias.csv",
sep = ""))
cant_section <- cant_section %>%
mutate(Version_ID = i_Version_IDs)
# read budget file
cant_budget <-
read_csv(paste(path_version_data,
"anom_cant_mod_inv_budget.csv",
sep = ""))
cant_budget <- cant_budget %>%
mutate(Version_ID = i_Version_IDs)
# read local parametrization files
params_local <-
read_rds(paste(path_version_data,
"params_local.rds",
sep = ""))
params_local <- bind_cols(
Version_ID = i_Version_IDs,
MLR_basins = params_local$MLR_basins,
rarefication = params_local$rarefication,
rarefication_threshold = params_local$rarefication_threshold,
vif_max = params_local$vif_max
)
cant_inv <- full_join(cant_inv, params_local)
cant_section <- full_join(cant_section, params_local)
cant_budget <- full_join(cant_budget, params_local)
# read tref file
tref <- read_csv(paste(path_version_data,
"tref.csv",
sep = ""))
duration <- sort(tref$median_year)[2] - sort(tref$median_year)[1]
eras <- paste0(sort(tref$median_year)[1],"-", sort(tref$median_year)[2])
cant_inv <- cant_inv %>%
mutate(duration = duration,
eras = eras)
cant_section <- cant_section %>%
mutate(duration = duration,
eras = eras)
cant_budget <- cant_budget %>%
mutate(duration = duration,
eras = eras)
# bind inv files
if (exists("cant_inv_all")) {
cant_inv_all <- bind_rows(cant_inv_all, cant_inv)
}
if (!exists("cant_inv_all")) {
cant_inv_all <- cant_inv
}
# bind section files
if (exists("cant_section_all")) {
cant_section_all <- bind_rows(cant_section_all, cant_section)
}
if (!exists("cant_section_all")) {
cant_section_all <- cant_section
}
# bind budget files
if (exists("cant_budget_all")) {
cant_budget_all <- bind_rows(cant_budget_all, cant_budget)
}
if (!exists("cant_budget_all")) {
cant_budget_all <- cant_budget
}
}[1] "v_301"
[1] "v_302"
[1] "v_303"
[1] "v_304"
[1] "v_305"
[1] "v_306"
[1] "v_307"
[1] "v_308"
[1] "v_309"
[1] "v_310"
[1] "v_311"
[1] "v_312"
[1] "v_313"
[1] "v_314"
[1] "v_315"
[1] "v_316"
[1] "v_317"
[1] "v_318"
[1] "v_319"
[1] "v_320"
[1] "v_321"
[1] "v_322"
[1] "v_323"rm(cant_inv, cant_section, cant_budget)1.1.1 Format
cant_inv_all_long <- cant_inv_all %>%
pivot_longer(emlr_anom:nss_projection,
names_to = "estimate",
values_to = "delta_cant_offset")
cant_section_all_long <- cant_section_all %>%
pivot_longer(emlr_anom:nss_projection,
names_to = "estimate",
values_to = "delta_cant_offset")
# unique(cant_inv_all$Version_ID)2 Eras vs basin split
Here we compare the impact of the basin separation approach on the anomaly detection, separately for each compared eras.
cant_inv_all_sub <- cant_inv_all %>%
filter(rarefication == "none")
cant_inv_all_long_sub <- cant_inv_all_long %>%
filter(rarefication == "none")
cant_section_all_sub <- cant_section_all %>%
filter(rarefication == "none")
cant_section_all_long_sub <- cant_section_all_long %>%
filter(rarefication == "none")
cant_budget_all_sub <- cant_budget_all %>%
filter(rarefication == "none")2.1 Column inventories
2.1.1 Maps
cant_inv_all_long_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ p_map_cant_inv_offset(
df = .x,
var = "delta_cant_offset",
subtitle_text = paste("Eras:", unique(.x$eras)),
breaks = seq(-8,8,1)
) +
facet_grid(MLR_basins ~ estimate) +
theme(axis.text = element_blank(),
axis.ticks = element_blank())
)[[1]]
[[2]]
[[3]]
[[4]]
2.1.2 Bias correlation
axis_limit <- 10
cant_inv_all_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_bias, emlr_anom)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(MLR_basins ~ basin_AIP)
)[[1]]
[[2]]
[[3]]
[[4]]
cant_inv_all_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_anom, nss_mod_truth)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(MLR_basins ~ basin_AIP)
)[[1]]
[[2]]
[[3]]
[[4]]
cant_inv_all_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(nss_mod_truth, nss_projection)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(MLR_basins ~ basin_AIP)
)[[1]]
[[2]]
| Version | Author | Date |
|---|---|---|
| 8f3f68d | jens-daniel-mueller | 2021-07-01 |
[[3]]
| Version | Author | Date |
|---|---|---|
| 8f3f68d | jens-daniel-mueller | 2021-07-01 |
[[4]]
2.2 Zonal sections
2.2.1 Sections
cant_section_all_long_sub %>%
group_split(eras, MLR_basins, estimate) %>%
# head(1) %>%
map(
~ p_section_zonal(
df = .x,
var = "delta_cant_offset",
plot_slabs = "n",
col = "divergent",
subtitle_text = paste("Eras:", unique(.x$eras),
"| MLR Basins:", unique(.x$MLR_basins),
"| Estimate:", unique(.x$estimate)),
breaks = c(-Inf,seq(-8,8,1), Inf)
)
)legend_title <- expression(atop(Delta * C[ant, pos],
(mu * mol ~ kg ^ {
-1
})))
cant_section_all_long_sub %>%
group_split(eras, basin_AIP) %>%
# head(1) %>%
map(
~ ggplot(data = .x) +
geom_contour_filled(aes(lat, depth, z = delta_cant_offset),
breaks =c(-Inf,seq(-8,8,1), Inf)) +
scale_fill_scico_d(
palette = "vik",
drop = FALSE,
name = legend_title
) +
guides(fill = guide_colorsteps(barheight = unit(8, "cm"),
show.limits = TRUE)) +
# scale_y_sqrt() +
scale_y_continuous(trans = trans_reverser("sqrt"),
breaks = c(100,500,seq(1000,5000,1000))) +
#scale_y_reverse() +
scale_x_continuous(breaks = seq(-100, 100, 40),
limits = c(-85, 85)) +
facet_grid(MLR_basins ~ estimate) +
coord_cartesian(expand = 0) +
labs(title = paste("Eras", unique(.x$eras),
"| Basin:", unique(.x$basin_AIP)))
)[[1]]
[[2]]
[[3]]
[[4]]
[[5]]
[[6]]
[[7]]
[[8]]
[[9]]
[[10]]
[[11]]
[[12]]
2.2.2 Bias correlation
axis_limit <- 20
cant_section_all_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_bias, emlr_anom)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(MLR_basins ~ basin_AIP)
)[[1]]
[[2]]
[[3]]
[[4]]
cant_section_all_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_anom, nss_mod_truth)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(MLR_basins ~ basin_AIP)
)[[1]]
[[2]]
[[3]]
[[4]]
cant_section_all_sub %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(nss_mod_truth, nss_projection)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(MLR_basins ~ basin_AIP)
)[[1]]
[[2]]
[[3]]
| Version | Author | Date |
|---|---|---|
| 8f3f68d | jens-daniel-mueller | 2021-07-01 |
[[4]]
2.3 Budgets
2.3.1 Regional
cant_budget_all_sub %>%
filter(inv_depth == params_global$inventory_depth_standard) %>%
ggplot(aes(estimate, cant_pos_total, fill = basin_AIP)) +
scale_fill_brewer(palette = "PuBuGn") +
geom_col(col = "black") +
facet_grid(MLR_basins ~ eras) +
theme(axis.text.x = element_text(angle = 90))
2.3.2 Era additive
cant_budget_all_sub_wide <- cant_budget_all_sub %>%
filter(inv_depth == params_global$inventory_depth_standard) %>%
select(-c(duration, Version_ID)) %>%
pivot_wider(names_from = eras,
values_from = cant_pos_total)
cant_budget_all_sub_wide <- cant_budget_all_sub_wide %>%
mutate(`1994-2014 (sum)` = `1994-2005` + `2005-2014`)
cant_budget_all_sub_long <- cant_budget_all_sub_wide %>%
select(-c(`1994-2005`, `2005-2014`)) %>%
pivot_longer(c(`1994-2014`, `1994-2014 (sum)`),
names_to = "eras",
values_to = "cant_pos_total")
cant_budget_all_sub_long %>%
ggplot(aes(eras, cant_pos_total, fill = basin_AIP)) +
scale_fill_brewer(palette = "PuBuGn") +
geom_col(col = "black") +
facet_grid(MLR_basins ~ estimate) +
theme(axis.text.x = element_text(angle = 90))
3 Rarefication and VIF
cant_inv_all_sub <- cant_inv_all %>%
filter(rarefication == "coarse_grid" |
Version_ID == "v_202") %>%
mutate(
rarefication_threshold = as.character(rarefication_threshold),
rarefication_threshold = if_else(rarefication == "none",
"none",
rarefication_threshold),
rarefication_threshold = if_else(rarefication_threshold == "5",
"05",
rarefication_threshold)
)
cant_inv_all_long_sub <- cant_inv_all_long %>%
filter(rarefication == "coarse_grid" |
Version_ID == "v_202") %>%
mutate(
rarefication_threshold = as.character(rarefication_threshold),
rarefication_threshold = if_else(rarefication == "none",
"none",
rarefication_threshold),
rarefication_threshold = if_else(rarefication_threshold == "5",
"05",
rarefication_threshold)
)
cant_section_all_sub <- cant_section_all %>%
filter(rarefication == "coarse_grid" |
Version_ID == "v_202") %>%
mutate(
rarefication_threshold = as.character(rarefication_threshold),
rarefication_threshold = if_else(rarefication == "none",
"none",
rarefication_threshold),
rarefication_threshold = if_else(rarefication_threshold == "5",
"05",
rarefication_threshold)
)
cant_section_all_long_sub <- cant_section_all_long %>%
filter(rarefication == "coarse_grid" |
Version_ID == "v_202") %>%
mutate(
rarefication_threshold = as.character(rarefication_threshold),
rarefication_threshold = if_else(rarefication == "none",
"none",
rarefication_threshold),
rarefication_threshold = if_else(rarefication_threshold == "5",
"05",
rarefication_threshold)
)
cant_budget_all_sub <- cant_budget_all %>%
filter(rarefication == "coarse_grid" |
Version_ID == "v_202") %>%
mutate(
rarefication_threshold = as.character(rarefication_threshold),
rarefication_threshold = if_else(rarefication == "none",
"none",
rarefication_threshold),
rarefication_threshold = if_else(rarefication_threshold == "5",
"05",
rarefication_threshold)
)3.1 Column inventories
3.1.1 Maps rarefication
cant_inv_all_long_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ p_map_cant_inv_offset(
df = .x,
var = "delta_cant_offset",
# col = "divergent",
subtitle_text = paste("Rarefication test | Eras:", unique(.x$eras)),
breaks = seq(-8,8,1)
) +
facet_grid(rarefication_threshold ~ estimate) +
theme(axis.text = element_blank(),
axis.ticks = element_blank())
)[[1]]
3.1.2 Maps VIF
cant_inv_all_long_sub %>%
filter(rarefication_threshold == 10) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ p_map_cant_inv_offset(
df = .x,
var = "delta_cant_offset",
# col = "divergent",
subtitle_text = paste("VIF test | Eras:", unique(.x$eras)),
breaks = seq(-8,8,1)
) +
facet_grid(vif_max ~ estimate) +
theme(axis.text = element_blank(),
axis.ticks = element_blank())
)[[1]]
3.1.3 Bias correlation
axis_limit <- 10
cant_inv_all_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_bias, emlr_anom)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(rarefication_threshold ~ basin_AIP)
)[[1]]
cant_inv_all_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_anom, nss_mod_truth)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(rarefication_threshold ~ basin_AIP)
)[[1]]
cant_inv_all_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(nss_mod_truth, nss_projection)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(rarefication_threshold ~ basin_AIP)
)[[1]]
3.2 Zonal sections
3.2.1 Sections
cant_section_all_long_sub %>%
filter(vif_max == 1000) %>%
group_split(eras, rarefication_threshold, estimate) %>%
head(1) %>%
map(
~ p_section_zonal(
df = .x,
var = "delta_cant_offset",
plot_slabs = "n",
col = "divergent",
subtitle_text = paste("Eras:", unique(.x$eras),
"| MLR Basins:", unique(.x$MLR_basins),
"| Estimate:", unique(.x$estimate)),
breaks = c(-Inf,seq(-8,8,1), Inf)
)
)legend_title <- expression(atop(Delta * C[ant, pos],
(mu * mol ~ kg ^ {
-1
})))
cant_section_all_long_sub %>%
filter(vif_max == 1000) %>%
group_split(eras, basin_AIP) %>%
# head(1) %>%
map(
~ ggplot(data = .x) +
geom_contour_filled(aes(lat, depth, z = delta_cant_offset),
breaks =c(-Inf,seq(-8,8,1), Inf)) +
scale_fill_scico_d(
palette = "vik",
drop = FALSE,
name = legend_title
) +
guides(fill = guide_colorsteps(barheight = unit(8, "cm"),
show.limits = TRUE)) +
# scale_y_sqrt() +
scale_y_continuous(trans = trans_reverser("sqrt"),
breaks = c(100,500,seq(1000,5000,1000))) +
#scale_y_reverse() +
scale_x_continuous(breaks = seq(-100, 100, 40),
limits = c(-85, 85)) +
facet_grid(rarefication_threshold ~ estimate) +
coord_cartesian(expand = 0) +
labs(title = paste("Rarefication test | Eras", unique(.x$eras),
"| Basin:", unique(.x$basin_AIP)))
)[[1]]
[[2]]
[[3]]
cant_section_all_long_sub %>%
filter(rarefication_threshold == 10) %>%
group_split(eras, basin_AIP) %>%
# head(1) %>%
map(
~ ggplot(data = .x) +
geom_contour_filled(aes(lat, depth, z = delta_cant_offset),
breaks =c(-Inf,seq(-8,8,1), Inf)) +
scale_fill_scico_d(
palette = "vik",
drop = FALSE,
name = legend_title
) +
guides(fill = guide_colorsteps(barheight = unit(8, "cm"),
show.limits = TRUE)) +
# scale_y_sqrt() +
scale_y_continuous(trans = trans_reverser("sqrt"),
breaks = c(100,500,seq(1000,5000,1000))) +
#scale_y_reverse() +
scale_x_continuous(breaks = seq(-100, 100, 40),
limits = c(-85, 85)) +
facet_grid(vif_max ~ estimate) +
coord_cartesian(expand = 0) +
labs(title = paste("VIF test | Eras", unique(.x$eras),
"| Basin:", unique(.x$basin_AIP)))
)[[1]]
[[2]]
[[3]]
3.2.2 Bias correlation
axis_limit <- 20
cant_section_all_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_bias, emlr_anom)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(rarefication_threshold ~ basin_AIP)
)[[1]]
cant_section_all_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(emlr_anom, nss_mod_truth)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(rarefication_threshold ~ basin_AIP)
)[[1]]
cant_section_all_sub %>%
filter(vif_max == 1000) %>%
group_split(eras) %>%
# head(1) %>%
map(
~ ggplot(data = .x, aes(nss_mod_truth, nss_projection)) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
geom_bin2d(binwidth = 1) +
scale_fill_viridis_c(trans = "log10") +
coord_equal(
xlim = c(-axis_limit, axis_limit),
ylim = c(-axis_limit, axis_limit)
) +
labs(title = paste("Eras:", unique(.x$eras))) +
facet_grid(rarefication_threshold ~ basin_AIP)
)[[1]]
3.3 Budgets
3.3.1 Regional
cant_budget_all_sub %>%
filter(vif_max == 1000,
inv_depth == params_global$inventory_depth_standard) %>%
ggplot(aes(as.factor(rarefication_threshold), cant_pos_total, fill = basin_AIP)) +
scale_fill_brewer(palette = "PuBuGn") +
geom_col(col = "black") +
facet_grid(estimate ~ eras) +
theme(axis.text.x = element_text(angle = 90))
cant_budget_all_sub %>%
filter(rarefication_threshold == 10,
inv_depth == params_global$inventory_depth_standard) %>%
ggplot(aes(as.factor(vif_max), cant_pos_total, fill = basin_AIP)) +
scale_fill_brewer(palette = "PuBuGn") +
geom_col(col = "black") +
facet_grid(estimate ~ eras) +
theme(axis.text.x = element_text(angle = 90))
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] ggforce_0.3.3 marelac_2.1.10 shape_1.4.5 metR_0.9.0
[5] scico_1.2.0 patchwork_1.1.1 collapse_1.5.0 forcats_0.5.0
[9] stringr_1.4.0 dplyr_1.0.5 purrr_0.3.4 readr_1.4.0
[13] tidyr_1.1.2 tibble_3.0.4 ggplot2_3.3.3 tidyverse_1.3.0
[17] workflowr_1.6.2
loaded via a namespace (and not attached):
[1] fs_1.5.0 lubridate_1.7.9 gsw_1.0-5
[4] RColorBrewer_1.1-2 httr_1.4.2 rprojroot_2.0.2
[7] tools_4.0.3 backports_1.1.10 R6_2.5.0
[10] DBI_1.1.0 colorspace_1.4-1 withr_2.3.0
[13] tidyselect_1.1.0 compiler_4.0.3 git2r_0.27.1
[16] cli_2.1.0 rvest_0.3.6 xml2_1.3.2
[19] isoband_0.2.2 labeling_0.4.2 scales_1.1.1
[22] checkmate_2.0.0 digest_0.6.27 rmarkdown_2.5
[25] oce_1.2-0 pkgconfig_2.0.3 htmltools_0.5.0
[28] dbplyr_1.4.4 rlang_0.4.10 readxl_1.3.1
[31] rstudioapi_0.11 generics_0.0.2 farver_2.0.3
[34] jsonlite_1.7.1 magrittr_1.5 Matrix_1.2-18
[37] Rcpp_1.0.5 munsell_0.5.0 fansi_0.4.1
[40] lifecycle_1.0.0 stringi_1.5.3 whisker_0.4
[43] yaml_2.2.1 MASS_7.3-53 grid_4.0.3
[46] blob_1.2.1 parallel_4.0.3 promises_1.1.1
[49] crayon_1.3.4 lattice_0.20-41 haven_2.3.1
[52] hms_0.5.3 seacarb_3.2.14 knitr_1.30
[55] pillar_1.4.7 reprex_0.3.0 glue_1.4.2
[58] evaluate_0.14 RcppArmadillo_0.10.1.2.0 data.table_1.13.2
[61] modelr_0.1.8 vctrs_0.3.5 tweenr_1.0.2
[64] httpuv_1.5.4 testthat_2.3.2 cellranger_1.1.0
[67] gtable_0.3.0 polyclip_1.10-0 assertthat_0.2.1
[70] xfun_0.18 broom_0.7.5 RcppEigen_0.3.3.7.0
[73] later_1.1.0.1 viridisLite_0.3.0 ellipsis_0.3.1