37 weird cell widths

.Rbuildignore

@@ -5,3 +5,7 @@
 ^data-raw$
 ^doc$
 ^Meta$
+^_pkgdown\.yml$
+^docs$
+^pkgdown$
+^\.github$

.gitignore

@@ -6,3 +6,4 @@
 inst/doc
 /doc/
 /Meta/
+docs

DESCRIPTION

@@ -23,16 +23,19 @@ Imports:
     lubridate,
     magrittr,
     methods,
-    raster,
     sf,
     stringr,
     terra
 Suggests: 
+    climateR (>= 0.3.5),
     knitr,
+    raster,
     rmarkdown,
     testthat (>= 3.0.0),
     tidyr,
-    tigris,
-    usethis
+    usethis,
+    tigris
 Config/testthat/edition: 3
 VignetteBuilder: knitr
+Remotes:  
+    mikejohnson51/climateR

R/data_cropland_world_2015_era5.R

@@ -1,6 +1,11 @@
 #' Global cropland weights
 #'
 #' A data.table with ERA5 resolution returned by running secondary_weights() with cropland data from
-#' 2015
+#' 2015 from https://glad.umd.edu/dataset/croplands
+#'
+#' Dataset Reference: P. Potapov, S. Turubanova, M.C. Hansen, A. Tyukavina, V.
+# Zalles, A. Khan, X.-P. Song, A. Pickens, Q. Shen, J. Cortez. (2021) Global
+# maps of cropland extent and change show accelerated cropland expansion in the
+# twenty-first century. Nature Food. https://doi.org/10.1038/s43016-021-00429-z
 #'
 "cropland_world_2015_era5"

R/global_variables.R

@@ -4,4 +4,5 @@
 
 globalVariables(c("cell_area_km2", "coverage_fraction", "day", "era5_grid",
                   "hour", "month", "poly_id", "sum_weight", "value", "w_area",
-                  "w_sum", "weight", "x", "y", "year", "."))
+                  "w_sum", "weight", "x", "y", "year", ".", "is_right_xmin",
+                  "is_left_xmax"))

R/overlay_weights.R

@@ -16,7 +16,7 @@
 #'
 #' @examples
 #' overlay_output_with_secondary_weights <- overlay_weights(
-#'   polygons = nj_counties, # Polygons outlining the 21 counties of New Jersey
+#'   polygons = tigris::counties("nj"), # Polygons outlining the 21 counties of New Jersey
 #'   polygon_id_col = "COUNTYFP", # The name of the column with the unique
 #'                                # county identifiers
 #'   grid = era5_grid, # The grid to use when extracting area weights (era5_grid is the
@@ -32,7 +32,7 @@
 #'
 #'
 #' overlay_output_without_secondary_weights <- overlay_weights(
-#'   polygons = nj_counties, # Polygons outlining the 21 counties of New Jersey
+#'   polygons = tigris::counties("nj"), # Polygons outlining the 21 counties of New Jersey
 #'   polygon_id_col = "COUNTYFP" # The name of the column with the unique county
 #'                               # identifiers
 #'   )