Initiate transformation_to_layer1+.R

src/transformation_to_layer1/transformation_to_layer1+.R

@@ -46,16 +46,127 @@ read_processed(path_name = "./data/layer1_data/",
 
 
 
+# Input level ----
+
+level <- "LI"
+level <- "LII"
+
+
+
 # 3. Gap-fill bulk densities for mineral layers ----
 
+source("./src/functions/gapfill_with_predictions.R")
+
+if (level == "LI") {
+
+  s1_som <- gapfill_with_predictions(survey_form = "s1_som",
+                                     data_frame = s1_som,
+                                     save_to_env = FALSE)
+
+  s1_pfh <- gapfill_with_predictions(survey_form = "s1_pfh",
+                                     data_frame = s1_pfh,
+                                     save_to_env = FALSE)
+}
+
+
+if (level == "LII") {
+
+  so_som <- gapfill_with_predictions(survey_form = "so_som",
+                                     data_frame = so_som,
+                                     save_to_env = FALSE)
+
+  so_pfh <- gapfill_with_predictions(survey_form = "so_pfh",
+                                     data_frame = so_pfh,
+                                     save_to_env = FALSE)
+}
+
+
+
+
+# 4. Tidy up dataframes ----
+
+source("./src/functions/tidy.R")
+
+if (level == "LI") {
+
+  s1_som <- tidy(survey_form = "s1_som",
+                 data_frame = s1_som,
+                 save_to_env = FALSE)
+
+  s1_pfh <- tidy(survey_form = "s1_pfh",
+                 data_frame = s1_pfh,
+                 save_to_env = FALSE)
+}
+
+
+if (level == "LII") {
+
+  so_som <- tidy(survey_form = "so_som",
+                 data_frame = so_som,
+                 save_to_env = FALSE)
+
+  so_pfh <- tidy(survey_form = "so_pfh",
+                 data_frame = so_pfh,
+                 save_to_env = FALSE)
+}
+
+
+
+
+# 5. Get stratifiers ----
+
+source("./src/functions/get_stratifiers.R")
+
+if (level == "LI") {
+
+  s1_strat <- get_stratifiers(level = "LI")
+
+  write.table(s1_strat,
+              file = paste0("./data/additional_data/s1_strat.csv"),
+              row.names = FALSE,
+              na = "",
+              sep = ";",
+              dec = ".")
+}
+
+if (level == "LII") {
+
+  so_strat <- get_stratifiers(level = "LII")
+
+  write.table(so_strat,
+              file = paste0("./data/additional_data/so_strat.csv"),
+              row.names = FALSE,
+              na = "",
+              sep = ";",
+              dec = ".")
+}
+
+
+
+
+
+# 5. Export the processed survey forms ----
 
+## 5.1. Save processed survey forms to Google Drive (layer 1) ----
 
+source("./src/functions/save_to_google_drive.R")
+save_to_google_drive(objects_to_save = c("si", "so", "sw"),
+                     path_name = "layer1_data")
 
+source("./src/functions/save_to_google_drive.R")
+save_to_google_drive(objects_to_save = c("y1", "s1"),
+                     path_name = "layer1_data")
 
+source("./src/functions/save_to_google_drive.R")
+save_to_google_drive(path_name = "layer1_data")
 
 
 
+## 5.2. Sync local data with Google Drive ----
 
+source("./src/functions/sync_local_data.R")
+sync_local_data(list_subfolders_data = "layer1_data",
+                list_subfolders_output = FALSE)