[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -36,4 +36,4 @@ repos:
         types_or: [python, pyi, jupyter]
         args: [--fix]
       - id: ruff-format
-        types_or: [python, pyi, jupyter]
+        types_or: [python, pyi, jupyter]

LICENSE

@@ -370,4 +370,4 @@ Exhibit B - "Incompatible With Secondary Licenses" Notice
 ---------------------------------------------------------
 
   This Source Code Form is "Incompatible With Secondary Licenses", as
-  defined by the Mozilla Public License, v. 2.0.
+  defined by the Mozilla Public License, v. 2.0.

notebooks/ntl-analysis/01_clean_data/02_extract_to_polygons.R

@@ -52,13 +52,13 @@ for(roi_name in c("cadaster", "lbn_adm0", "lbn_adm1", "lbn_adm2", "lbn_adm3", "l
 
       if(year >= 2012){
         bm_r <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", paste0("VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t",year,".tif")))
-        
+
         if(year <= 2022){
           viirs_r_r <- raster(file.path(ntl_dir, "ntl-rasters", "viirs", "annual", paste0("LBN_viirs_mean_",year,".tif")))
         } else{
           viirs_r_r <- raster()
         }
-        
+
       } else{
         bm_r     <- raster()
         viirs_r_r <- raster()

notebooks/ntl-analysis/02_analysis/map_ntl_annual.R

@@ -3,9 +3,9 @@
 #for(year_i in c(2019, 2022)){
 
 # Load data --------------------------------------------------------------------
-r_mean_19  <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", 
+r_mean_19  <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual",
                                "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2019.tif"))
-r_mean_22  <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", 
+r_mean_22  <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual",
                                "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2023.tif"))
 
 roi_sp <- read_sf(file.path(admin_bnd_dir, "lbn_adm_cdr_20200810", "lbn_admbnda_adm0_cdr_20200810.shp")) %>%

notebooks/ntl-analysis/02_analysis/percent_change_adm.R

@@ -54,7 +54,7 @@ for(roi_name in c("lbn_adm1", "lbn_adm2", "lbn_adm3", "lbn_adm4")){
 
   roi_sf$pc22[roi_sf$pc22 > 100] <- 100
   roi_sf$pc22[is.na(roi_sf$pc22)] <- 0
-  
+
   # Map --------------------------------------------------------------------------
   city_df <- data.frame(lat = 33.898316, lon = 35.505696, name = "Beirut")
 

notebooks/ntl-analysis/02_analysis/pixel_map_change.R

@@ -3,9 +3,9 @@
 # Load data --------------------------------------------------------------------
 roi_sf <- read_sf(file.path(admin_bnd_dir, "lbn_adm_cdr_20200810", "lbn_admbnda_adm0_cdr_20200810.shp"))
 
-r12 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", 
-                        "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2012.tif")) 
-r22 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", 
+r12 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual",
+                        "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2012.tif"))
+r22 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual",
                         "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2023.tif"))
 
 r12 <- r12 %>% crop(roi_sf) %>% mask(roi_sf)

notebooks/ntl-analysis/02_analysis/pixel_percent_change.R

@@ -3,9 +3,9 @@
 # Load data --------------------------------------------------------------------
 roi_sf <- read_sf(file.path(admin_bnd_dir, "lbn_adm_cdr_20200810", "lbn_admbnda_adm0_cdr_20200810.shp"))
 
-r12 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", 
-                        "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2012.tif")) 
-r22 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual", 
+r12 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual",
+                        "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2012.tif"))
+r22 <- raster(file.path(ntl_dir, "ntl-rasters", "blackmarble", "annual",
                         "VNP46A4_NearNadir_Composite_Snow_Free_qflag255_1_t2023.tif"))
 
 r12 <- r12 %>% crop(roi_sf) %>% mask(roi_sf)