Merge pull request #84 from Metropolitan-Council/76-natural-systems-d…

…ata-sourcing

Natural systems data sourcing

.gitignore

@@ -308,3 +308,21 @@ _transportation/data-raw/epa/metc_lggit_11.28.23.xlsm
 _waste/data-raw/wastewater/GHGEmissions_2019-2021_CorrectedWSCA.xlsx
 
 _transportation/data-raw/epa/community_ghg_inventorytool_11.28.23 2/
+_nature/data-raw/ESA_WorldCover_10m_2021_v200_N42W093_Map.tif
+_nature/data-raw/ESA_WorldCover_10m_2021_v200_N42W096_Map.tif
+_nature/data-raw/ESA_WorldCover_10m_2021_v200_N45W093_Map.tif
+_nature/data-raw/ESA_WorldCover_10m_2021_v200_N45W096_Map.tif
+_nature/data-raw/land_cover_seq_rates.csv
+_nature/data-raw/DBO_RPTAdministrativeBoundary.dbf
+_nature/data-raw/DBO_RPTAdministrativeBoundary.cpg
+_nature/data-raw/DBO_RPTAdministrativeBoundary.prj
+_nature/data-raw/DBO_RPTAdministrativeBoundary.sbx
+_nature/data-raw/DBO_RPTAdministrativeBoundary.sbn
+_nature/data-raw/DBO_RPTAdministrativeBoundary.shp
+_nature/data-raw/DBO_RPTAdministrativeBoundary.shp.xml
+_nature/data-raw/DBO_RPTAdministrativeBoundary.shx
+_nature/data-raw/land_cover_stock.csv
+/_nature/_natural_systems_files
+
+site_libs/
+_nature/_natural_systems_files/*

R/_export_plotly.R

@@ -123,5 +123,3 @@ purrr::map(
     )
   }
 )
-
-

R/_load_pkgs.R

@@ -30,7 +30,9 @@ if (exists("load_packages") == FALSE) {
   suppressMessages(library(leaflet, quietly = TRUE))
   suppressMessages(library(scales, quietly = TRUE))
   suppressMessages(library(webshot, quietly = TRUE))
-
+  suppressMessages(library(terra, quietly = TRUE))
+  suppressMessages(library(tidyterra, quietly = TRUE))
+  suppressMessages(library(FedData, quietly = TRUE))
 
   # tables -----
   suppressMessages(library(knitr, quietly = TRUE))

R/cprg_colors.R

@@ -32,7 +32,11 @@ category_colors <-
 
     # PuRd
     "Solid waste" = "#ce1256",
-    "Wastewater" = "#c994c7"
+    "Wastewater" = "#c994c7",
+
+    # Gn
+    "Sequestration" = "#006f3c",
+    "Stock" = "#27b376"
   )
 
 
@@ -53,8 +57,15 @@ source_colors <- list(
   # energy levels
   "Electricity" = "#0868ac",
   "Natural gas" = "#4eb3d3",
-  "Propane" = "#006d2c",
-  "Kerosene" = "#a1d99b"
+  "Propane" = "#2f4f4f",
+  "Kerosene" = "#004242",
+
+  # nature
+  "Tree" = "#006d2c",
+  "Grassland" = "#22b600",
+  "Wetland" = "#26cc00",
+  "Urban tree" = "#7be382",
+  "Urban grassland" = "#a1d99b"
 )
 
 
@@ -75,3 +86,9 @@ management_method_colors <- list(
   "Landfill" = source_colors$Landfill,
   "Onsite" = "#750a31"
 )
+
+# european space agency colors
+esa_color <- c(
+  "forestgreen", "brown4", "yellow2", "wheat3", "red",
+  "plum", "lightblue", "navy", "mediumturquoise"
+)

R/fix_style.R

@@ -3,6 +3,8 @@ if (!nzchar(Sys.getenv("QUARTO_PROJECT_RENDER_ALL"))) {
   fs::dir_copy("style", "docs/_energy/style/", overwrite = TRUE)
   fs::dir_copy("style", "docs/_waste/style/", overwrite = TRUE)
   fs::dir_copy("style", "docs/_meta/style/", overwrite = TRUE)
+  fs::dir_copy("style", "docs/_nature/style/", overwrite = TRUE)
+  fs::dir_copy("style", "docs/_agriculture/style/", overwrite = TRUE)
   fs::dir_copy("assets/maps", "docs/_meta/assets/maps", overwrite = TRUE)
   quit()
 }

R/plot_county_emissions.R

@@ -60,7 +60,7 @@ plot_county_emissions <- function(county_emissions,
     )
   ) %>%
     councilR::plotly_layout(
-      main_title = paste0(.sector, " emissions"),
+      main_title = if_else(.sector == "Nature", "Natural systems sequestration", paste0(.sector, " emissions")),
       subtitle = "",
       x_title = stringr::str_to_title(unique(plot_data$geog_level)),
       y_title = "Metric tons CO<sub>2</sub>e",

R/plot_sector_county_emissions.R

@@ -58,7 +58,7 @@ plot_county_sector_emissions <- function(county_emissions,
     )
   ) %>%
     councilR::plotly_layout(
-      main_title = paste0(.sector, " emissions"),
+      main_title = if_else(.sector == "Nature", "Natural systems sequestration", paste0(.sector, " emissions")),
       subtitle = "",
       y_title = stringr::str_to_title(unique(plot_data$geog_level)),
       x_title = "Metric tons CO<sub>2</sub>e",

_meta/data-raw/compile_county_emissions.R

@@ -110,6 +110,38 @@ propane_kerosene_emissions <- readRDS("_energy/data/fuel_use.RDS") %>%
   ) %>%
   select(names(transportation_emissions))
 
+## natural systems ----
+
+natural_systems_sequestration <- readRDS("_nature/data/county_landcover_sequestration_2021.RDS") %>%
+  mutate(
+    sector = "Nature",
+    geog_level = "county",
+    geog_name = county,
+    category = "Sequestration",
+    source = stringr::str_to_sentence(str_replace_all(land_cover_type, "_", " ")),
+    data_source = "ESA WorldCover & NLCD 2021",
+    factor_source = "Various primary literature",
+    year = 2021,
+    emissions_metric_tons_co2e = sequestration_potential,
+  ) %>%
+  ungroup() %>%
+  select(names(transportation_emissions))
+
+natural_systems_stock <- readRDS("_nature/data/county_landcover_sequestration_2021.RDS") %>%
+  mutate(
+    sector = "Nature",
+    geog_level = "county",
+    geog_name = county,
+    category = "Stock",
+    source = stringr::str_to_sentence(str_replace_all(land_cover_type, "_", " ")),
+    data_source = "ESA WorldCover & NLCD 2021",
+    factor_source = "Various primary literature",
+    year = 2021,
+    emissions_metric_tons_co2e = stock_potential,
+  ) %>%
+  ungroup() %>%
+  select(names(transportation_emissions))
+
 # combine and write metadata----
 
 emissions_all <- bind_rows(
@@ -118,7 +150,9 @@ emissions_all <- bind_rows(
   electric_emissions,
   natural_gas_emissions,
   ww_emissions,
-  solid_waste
+  solid_waste,
+  natural_systems_sequestration,
+  natural_systems_stock
 ) %>%
   left_join(
     cprg_county %>%
@@ -143,7 +177,13 @@ emissions_all <- bind_rows(
         "Electricity",
         "Natural gas",
         "Propane",
-        "Kerosene"
+        "Kerosene",
+        # nature levels
+        "Urban grassland",
+        "Urban tree",
+        "Grassland",
+        "Tree",
+        "Wetland"
       ),
       ordered = TRUE
     ),
@@ -157,7 +197,9 @@ emissions_all <- bind_rows(
         "Passenger vehicles",
         "Commercial vehicles",
         "Wastewater",
-        "Solid waste"
+        "Solid waste",
+        "Sequestration",
+        "Stock"
       ),
       ordered = TRUE
     )
@@ -176,11 +218,12 @@ emissions_all <- bind_rows(
   mutate(emissions_per_capita = round(emissions_metric_tons_co2e / county_total_population, digits = 2)) %>%
   select(year, geog_level, geog_id, geog_name, everything())
 
+# splitting off carbon stock here as it is a capacity, not a rate
+carbon_stock <- emissions_all %>% filter(category == "Stock")
+emissions_all <- emissions_all %>% filter(category != "Stock")
 
-
-mean(emissions_all$emissions_per_capita)
-
-sum(emissions_all$emissions_metric_tons_co2e) / sum(cprg_county_pop$population)
+mean(emissions_all$emissions_per_capita[!emissions_all$category == "Stock"])
+sum(emissions_all$emissions_metric_tons_co2e[!emissions_all$category == "Stock"]) / sum(cprg_county_pop$population)
 
 emissions_all_meta <- tibble::tribble(
   ~"Column", ~"Class", ~"Description",
@@ -208,6 +251,9 @@ write.csv(emissions_all, "_meta/data/cprg_county_emissions.CSV", row.names = FAL
 
 county_emissions <- emissions_all
 
+saveRDS(carbon_stock, "_meta/data/cprg_county_carbon_stock.RDS")
+saveRDS(emissions_all_meta, "_meta/data/cprg_county_carbon_stock_meta.RDS")
+
 # save emissions to shared drive location
 # source("R/fetch_path.R")