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3_cluster.R
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3_cluster.R
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source("3_cluster/src/seasonal_metric_cluster.R")
source("3_cluster/src/gage_year_coverage_by_cluster.R")
p3_targets_list <- list(
##Cluster analysis to make model regions from FDC metrics
tar_target(p3_metric_names,
{colnames(p2_FDC_metrics)[-c(1,grep(colnames(p2_FDC_metrics), pattern = 'mhfdc'))]
},
deployment = 'main'
),
tar_target(p3_metric_names_quants,
{as.character(NE_quants)},
deployment = 'main'
),
tar_target(p3_metric_names_quants_agg,
{c(str_c(as.character(NE_quants)[1:5], collapse = ','),
str_c(as.character(NE_quants)[6:10], collapse = ','))
},
deployment = 'main'
),
tar_target(p3_metric_names_quants_all_agg,
str_c(as.character(NE_quants)[1:10], collapse = ','),
deployment = 'main'
),
#Low flow regions
tar_target(p3_metric_names_low,
{colnames(p2_FDC_metrics_low)[
-c(1,
grep(colnames(p2_FDC_metrics_low), pattern = 'mhfdc'),
#Removing columns with NAs
grep(colnames(p2_FDC_metrics_low), pattern = 'q0.005'),
grep(colnames(p2_FDC_metrics_low), pattern = 'q0.01')
)
]
},
deployment = 'main'
),
tar_target(p3_metric_names_quants_low,
{as.character(NE_quants_low[-c(1,2)])},
deployment = 'main'
),
tar_target(p3_metric_names_quants_agg_low,
{c(str_c(as.character(NE_quants_low)[4:7], collapse = ','),
str_c(as.character(NE_quants_low)[8:13], collapse = ','))
},
deployment = 'main'
),
#barplot for all metrics, averaged over all gages
tar_target(p3_seasonal_barplot_COUNS_png,
plot_seasonal_barplot(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names,
season_months = season_months,
by_cluster = FALSE,
dir_out = '3_cluster/out/seasonal_plots/barplots/CONUS/'),
map(p3_metric_names),
deployment = 'worker',
format = 'file'
),
#Low flow
tar_target(p3_seasonal_barplot_COUNS_low_png,
plot_seasonal_barplot(metric_mat = p2_FDC_metrics_season_low,
metric = p3_metric_names_low,
season_months = season_months,
by_cluster = FALSE,
dir_out = '3_cluster/out/seasonal_plots_LowFlow/barplots/CONUS/'),
map(p3_metric_names_low),
deployment = 'worker',
format = 'file'
),
#Compute clusters
tar_target(p3_FDC_clusters,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names,
dist_method = 'euclidean'),
map(p3_metric_names),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names_quants,
dist_method = 'euclidean'),
map(p3_metric_names_quants),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_agg,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names_quants_agg,
dist_method = 'euclidean',
quantile_agg = TRUE),
map(p3_metric_names_quants_agg),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_all_agg,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names_quants_all_agg,
dist_method = 'euclidean',
quantile_agg = TRUE),
map(p3_metric_names_quants_all_agg),
deployment = 'worker'
),
#Low flow
tar_target(p3_FDC_clusters_low,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low,
metric = p3_metric_names_low,
dist_method = 'euclidean'),
map(p3_metric_names_low),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_low,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low,
metric = p3_metric_names_quants_low,
dist_method = 'euclidean'),
map(p3_metric_names_quants_low),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_low_novhfdc3,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low %>%
select(-contains('vhfdc3')),
metric = p3_metric_names_quants_low,
dist_method = 'euclidean'),
map(p3_metric_names_quants_low),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_low_freq,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low %>%
select(site_num, contains('fhfdc')),
metric = p3_metric_names_quants_low,
dist_method = 'euclidean'),
map(p3_metric_names_quants_low),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_agg_low,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low,
metric = p3_metric_names_quants_agg_low,
dist_method = 'euclidean',
quantile_agg = TRUE),
map(p3_metric_names_quants_agg_low),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_agg_low_novhfdc3,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low %>%
select(-contains('vhfdc3')),
metric = p3_metric_names_quants_agg_low,
dist_method = 'euclidean',
quantile_agg = TRUE),
map(p3_metric_names_quants_agg_low),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_agg_low_freq,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics_season_low %>%
select(site_num, contains('fhfdc')),
metric = p3_metric_names_quants_agg_low,
dist_method = 'euclidean',
quantile_agg = TRUE),
map(p3_metric_names_quants_agg_low),
deployment = 'worker'
),
#Raw metric values
tar_target(p3_FDC_clusters_raw_metrics,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
metric = p3_metric_names,
dist_method = 'euclidean'),
map(p3_metric_names),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_raw_metrics,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
metric = p3_metric_names_quants,
dist_method = 'euclidean'),
map(p3_metric_names_quants),
deployment = 'worker'
),
tar_target(p3_FDC_clusters_quants_agg_raw_metrics,
seasonal_metric_cluster(metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
metric = p3_metric_names_quants_agg,
dist_method = 'euclidean',
quantile_agg = TRUE),
map(p3_metric_names_quants_agg),
deployment = 'worker'
),
#Select only the best clustering method
tar_target(p3_FDC_best_cluster_method,
select_cluster_method(clusts = p3_FDC_clusters),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants,
select_cluster_method(clusts = p3_FDC_clusters_quants),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_agg,
select_cluster_method(clusts = p3_FDC_clusters_quants_agg,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_all_agg,
select_cluster_method(clusts = p3_FDC_clusters_quants_all_agg,
quantile_agg = TRUE),
deployment = 'main'
),
#Low flow
tar_target(p3_FDC_best_cluster_method_low,
select_cluster_method(clusts = p3_FDC_clusters_low),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_low,
select_cluster_method(clusts = p3_FDC_clusters_quants_low),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_low_novhfdc3,
select_cluster_method(clusts = p3_FDC_clusters_quants_low_novhfdc3),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_low_freq,
select_cluster_method(clusts = p3_FDC_clusters_quants_low_freq),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_agg_low,
select_cluster_method(clusts = p3_FDC_clusters_quants_agg_low,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_agg_low_novhfdc3,
select_cluster_method(clusts = p3_FDC_clusters_quants_agg_low_novhfdc3,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_agg_low_freq,
select_cluster_method(clusts = p3_FDC_clusters_quants_agg_low_freq,
quantile_agg = TRUE),
deployment = 'main'
),
#Raw metric values
tar_target(p3_FDC_best_cluster_method_raw_metrics,
select_cluster_method(clusts = p3_FDC_clusters_raw_metrics),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_raw_metrics,
select_cluster_method(clusts = p3_FDC_clusters_quants_raw_metrics),
deployment = 'main'
),
tar_target(p3_FDC_best_cluster_method_quants_agg_raw_metrics,
select_cluster_method(clusts = p3_FDC_clusters_quants_agg_raw_metrics,
quantile_agg = TRUE),
deployment = 'main'
),
#Compute cluster diagnostics
tar_target(p3_FDC_cluster_diagnostics,
compute_cluster_diagnostics(clusts = p3_FDC_clusters,
metric_mat = p2_FDC_metrics_season,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants,
metric_mat = p2_FDC_metrics_season,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_quants),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg,
metric_mat = p2_FDC_metrics_season,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_all_agg,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_all_agg,
metric_mat = p2_FDC_metrics_season,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_all_agg),
deployment = 'worker'
),
#Low flow
tar_target(p3_FDC_cluster_diagnostics_low,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_low,
metric_mat = p2_FDC_metrics_season_low,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_low),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_low,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_low,
metric_mat = p2_FDC_metrics_season_low,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_quants_low),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_low_novhfdc3,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_low_novhfdc3,
metric_mat = p2_FDC_metrics_season_low %>%
select(-contains('vhfdc3')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_quants_low_novhfdc3),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_low_freq,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_low_freq,
metric_mat = p2_FDC_metrics_season_low %>%
select(site_num, contains('fhfdc')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_quants_low_freq),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_low,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_low,
metric_mat = p2_FDC_metrics_season_low,
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_low),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_low_novhfdc3,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_low_novhfdc3,
metric_mat = p2_FDC_metrics_season_low %>%
select(-contains('vhfdc3')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_low_novhfdc3),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_low_freq,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_low_freq,
metric_mat = p2_FDC_metrics_season_low %>%
select(site_num, contains('fhfdc')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_low_freq),
deployment = 'worker'
),
#Raw metric values
tar_target(p3_FDC_cluster_diagnostics_raw_metrics,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_raw_metrics,
metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_raw_metrics),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_raw_metrics,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_raw_metrics,
metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2'),
map(p3_FDC_clusters_quants_raw_metrics),
deployment = 'worker'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_raw_metrics,
compute_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_raw_metrics,
metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
kmin = 2, kmax = 20,
alpha = 0.05, boot = 50,
index = 'all',
dist_method = 'euclidean',
clust_method = 'ward.D2',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_raw_metrics),
deployment = 'worker'
),
#Plot diagnostics for clusters
tar_target(p3_FDC_cluster_diagnostics_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters,
metric_mat = p2_FDC_metrics_season,
nbclust_metrics = p3_FDC_cluster_diagnostics,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots/diagnostics/'),
map(p3_FDC_clusters, p3_FDC_cluster_diagnostics),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants,
metric_mat = p2_FDC_metrics_season,
nbclust_metrics = p3_FDC_cluster_diagnostics_quants,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots/diagnostics/by_quantiles'),
map(p3_FDC_clusters_quants, p3_FDC_cluster_diagnostics_quants),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg,
metric_mat = p2_FDC_metrics_season,
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_agg,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots/diagnostics/by_agg_quantiles',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg, p3_FDC_cluster_diagnostics_quants_agg),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_all_agg_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_all_agg,
metric_mat = p2_FDC_metrics_season,
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_all_agg,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots/diagnostics/by_all_agg_quantiles',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_all_agg, p3_FDC_cluster_diagnostics_quants_all_agg),
deployment = 'worker',
format = 'file'
),
#Low flow
tar_target(p3_FDC_cluster_diagnostics_low_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_low,
metric_mat = p2_FDC_metrics_season_low,
nbclust_metrics = p3_FDC_cluster_diagnostics_low,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow/diagnostics/'),
map(p3_FDC_clusters_low, p3_FDC_cluster_diagnostics_low),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_low_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_low,
metric_mat = p2_FDC_metrics_season_low,
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_low,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow/diagnostics/by_quantiles'),
map(p3_FDC_clusters_quants_low, p3_FDC_cluster_diagnostics_quants_low),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_low_novhfdc3_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_low_novhfdc3,
metric_mat = p2_FDC_metrics_season_low %>%
select(-contains('vhfdc3')),
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_low_novhfdc3,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow_noHighVolume/diagnostics/by_quantiles'),
map(p3_FDC_clusters_quants_low_novhfdc3, p3_FDC_cluster_diagnostics_quants_low_novhfdc3),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_low_freq_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_low_freq,
metric_mat = p2_FDC_metrics_season_low %>%
select(site_num, contains('fhfdc')),
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_low_freq,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow_freq/diagnostics/by_quantiles'),
map(p3_FDC_clusters_quants_low_freq, p3_FDC_cluster_diagnostics_quants_low_freq),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_low_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_low,
metric_mat = p2_FDC_metrics_season_low,
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_agg_low,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow/diagnostics/by_agg_quantiles',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_low, p3_FDC_cluster_diagnostics_quants_agg_low),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_low_novhfdc3_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_low_novhfdc3,
metric_mat = p2_FDC_metrics_season_low %>%
select(-contains('vhfdc3')),
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_agg_low_novhfdc3,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow_noHighVolume/diagnostics/by_agg_quantiles',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_low_novhfdc3, p3_FDC_cluster_diagnostics_quants_agg_low_novhfdc3),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_low_freq_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_low_freq,
metric_mat = p2_FDC_metrics_season_low %>%
select(site_num, contains('fhfdc')),
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_agg_low_freq,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/seasonal_plots_LowFlow_freq/diagnostics/by_agg_quantiles',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_low_freq, p3_FDC_cluster_diagnostics_quants_agg_low_freq),
deployment = 'worker',
format = 'file'
),
#Raw metric values
tar_target(p3_FDC_cluster_diagnostics_raw_metrics_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_raw_metrics,
metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
nbclust_metrics = p3_FDC_cluster_diagnostics_raw_metrics,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/raw_metric_plots/diagnostics/'),
map(p3_FDC_clusters_raw_metrics, p3_FDC_cluster_diagnostics_raw_metrics),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_raw_metrics_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_raw_metrics,
metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_raw_metrics,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/raw_metric_plots/diagnostics/by_quantiles'),
map(p3_FDC_clusters_quants_raw_metrics, p3_FDC_cluster_diagnostics_quants_raw_metrics),
deployment = 'worker',
format = 'file'
),
tar_target(p3_FDC_cluster_diagnostics_quants_agg_raw_metrics_png,
plot_cluster_diagnostics(clusts = p3_FDC_clusters_quants_agg_raw_metrics,
metric_mat = p2_FDC_metrics %>%
select(-contains('mhfdc')),
nbclust_metrics = p3_FDC_cluster_diagnostics_quants_agg_raw_metrics,
dist_method = 'euclidean',
clust_method = 'ward.D2',
dir_out = '3_cluster/out/raw_metric_plots/diagnostics/by_agg_quantiles',
quantile_agg = TRUE),
map(p3_FDC_clusters_quants_agg_raw_metrics, p3_FDC_cluster_diagnostics_quants_agg_raw_metrics),
deployment = 'worker',
format = 'file'
),
#Assign cluster numbers to gages
tar_target(p3_gages_clusters,
add_cluster_to_gages(clusts = p3_FDC_clusters,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_agg,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_agg,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_agg,
min_clusts = 3, max_clusts = 15, by_clusts = 2,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_agg_selected,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_agg,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_agg,
min_clusts = 4, max_clusts = 6, by_clusts = 1,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_all_agg,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_all_agg,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_all_agg,
min_clusts = 3, max_clusts = 15, by_clusts = 2,
quantile_agg = TRUE),
deployment = 'main'
),
#Low flow
tar_target(p3_gages_clusters_low,
add_cluster_to_gages(clusts = p3_FDC_clusters_low,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_low,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_low,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_low,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_low,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_low_novhfdc3,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_low_novhfdc3,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_low_novhfdc3,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_low_freq,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_low_freq,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_low_freq,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_agg_low,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_agg_low,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_agg_low,
min_clusts = 3, max_clusts = 15, by_clusts = 2,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_agg_low_novhfdc3,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_agg_low_novhfdc3,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_agg_low_novhfdc3,
min_clusts = 3, max_clusts = 15, by_clusts = 2,
quantile_agg = TRUE),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_agg_low_freq,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_agg_low_freq,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_agg_low_freq,
min_clusts = 3, max_clusts = 15, by_clusts = 2,
quantile_agg = TRUE),
deployment = 'main'
),
#Raw metric values
tar_target(p3_gages_clusters_raw_metrics,
add_cluster_to_gages(clusts = p3_FDC_clusters_raw_metrics,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_raw_metrics,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_raw_metrics,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_raw_metrics,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_raw_metrics,
min_clusts = 3, max_clusts = 15, by_clusts = 2),
deployment = 'main'
),
tar_target(p3_gages_clusters_quants_agg_raw_metrics,
add_cluster_to_gages(clusts = p3_FDC_clusters_quants_agg_raw_metrics,
screened_sites = p1_screened_site_list_season,
best_clust = p3_FDC_best_cluster_method_quants_agg_raw_metrics,
min_clusts = 3, max_clusts = 15, by_clusts = 2,
quantile_agg = TRUE),
deployment = 'main'
),
#Assign cluster column names to a target for later branch iteration
tar_target(p3_cluster_cols,
colnames(p3_gages_clusters)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants,
colnames(p3_gages_clusters_quants)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_agg,
colnames(p3_gages_clusters_quants_agg)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_agg_selected,
colnames(p3_gages_clusters_quants_agg_selected)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_all_agg,
colnames(p3_gages_clusters_quants_all_agg)[-1],
deployment = 'main'
),
#Low flow
tar_target(p3_cluster_cols_low,
colnames(p3_gages_clusters_low)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_low,
colnames(p3_gages_clusters_quants_low)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_low_novhfdc3,
colnames(p3_gages_clusters_quants_low_novhfdc3)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_low_freq,
colnames(p3_gages_clusters_quants_low_freq)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_agg_low,
colnames(p3_gages_clusters_quants_agg_low)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_agg_low_novhfdc3,
colnames(p3_gages_clusters_quants_agg_low_novhfdc3)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_agg_low_freq,
colnames(p3_gages_clusters_quants_agg_low_freq)[-1],
deployment = 'main'
),
#Raw metric values
tar_target(p3_cluster_cols_raw_metrics,
colnames(p3_gages_clusters_raw_metrics)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_raw_metrics,
colnames(p3_gages_clusters_quants_raw_metrics)[-1],
deployment = 'main'
),
tar_target(p3_cluster_cols_quants_agg_raw_metrics,
colnames(p3_gages_clusters_quants_agg_raw_metrics)[-1],
deployment = 'main'
),
#Plot maps of gages with clusters
tar_target(p3_cluster_map_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters,
dir_out = '3_cluster/out/seasonal_plots/maps/'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants,
dir_out = '3_cluster/out/seasonal_plots/maps/by_quantiles'),
deployment = 'main',
format = 'file'
),
##panel plot for regions paper
tar_target(p3_panel_maps_for_paper_png,
make_panel_cluster_plot_for_paper(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants,
fileout = fileout <-'3_cluster/out/seasonal_plots/maps/by_quantiles/panel_map_for_paper.png'
)),
tar_target(p3_cluster_map_quants_agg_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg,
dir_out = '3_cluster/out/seasonal_plots/maps/by_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg,
dir_out = '3_cluster/out/seasonal_plots/maps/by_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_selected_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_selected,
dir_out = '3_cluster/out/seasonal_plots/maps/by_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_facet_selected_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_selected,
dir_out = '3_cluster/out/seasonal_plots/maps/by_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_all_agg_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_all_agg,
dir_out = '3_cluster/out/seasonal_plots/maps/by_all_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_all_agg_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_all_agg,
dir_out = '3_cluster/out/seasonal_plots/maps/by_all_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
#Low flow
tar_target(p3_cluster_map_low_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_low,
dir_out = '3_cluster/out/seasonal_plots_LowFlow/maps/'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_low_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_low,
dir_out = '3_cluster/out/seasonal_plots_LowFlow/maps/by_quantiles'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_low_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_low,
dir_out = '3_cluster/out/seasonal_plots_LowFlow/maps/by_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_low_novhfdc3_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_low_novhfdc3,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_noHighVolume/maps/by_quantiles'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_low_novhfdc3_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_low_novhfdc3,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_noHighVolume/maps/by_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_low_freq_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_low_freq,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_freq/maps/by_quantiles'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_low_freq_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_low_freq,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_freq/maps/by_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_low_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_low,
dir_out = '3_cluster/out/seasonal_plots_LowFlow/maps/by_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_low_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_low,
dir_out = '3_cluster/out/seasonal_plots_LowFlow/maps/by_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_low_novhfdc3_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_low_novhfdc3,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_noHighVolume/maps/by_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_low_novhfdc3_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_low_novhfdc3,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_noHighVolume/maps/by_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_low_freq_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_low_freq,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_freq/maps/by_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_low_freq_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_low_freq,
dir_out = '3_cluster/out/seasonal_plots_LowFlow_freq/maps/by_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
#Raw metric values
tar_target(p3_cluster_map_raw_metrics_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_raw_metrics,
dir_out = '3_cluster/out/raw_metric_plots/maps/'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_raw_metrics_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_raw_metrics,
dir_out = '3_cluster/out/raw_metric_plots/maps/by_quantiles'),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_raw_metrics_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_raw_metrics,
dir_out = '3_cluster/out/raw_metric_plots/maps/by_agg_quantiles',
facet = FALSE),
deployment = 'main',
format = 'file'
),
tar_target(p3_cluster_map_quants_agg_raw_metrics_facet_png,
plot_cluster_map(gages = p1_feature_vars_g2_sf,
cluster_table = p3_gages_clusters_quants_agg_raw_metrics,
dir_out = '3_cluster/out/raw_metric_plots/maps/by_agg_quantiles',
facet = TRUE),
deployment = 'main',
format = 'file'
),
#barplot for all metrics, averaged over cluster gages
tar_target(p3_seasonal_barplot_clusters_png,
plot_seasonal_barplot(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names,
season_months = season_months,
by_cluster = TRUE,
panel_plot = TRUE,
cluster_table = p3_gages_clusters,
dir_out = '3_cluster/out/seasonal_plots/barplots/'),
map(p3_metric_names),
deployment = 'worker',
format = 'file'
),
tar_target(p3_seasonal_barplot_clusters_quants_png,
plot_seasonal_barplot(metric_mat = p2_FDC_metrics_season,
metric = p3_metric_names_quants,
season_months = season_months,
by_cluster = TRUE,
panel_plot = TRUE,
cluster_table = p3_gages_clusters_quants,
dir_out = '3_cluster/out/seasonal_plots/barplots/by_quantiles',