library(tidyverse)
pal <- "precipitation_daily"
init <- readLines(paste0(
"https://raw.githubusercontent.com/OSGeo/grass/main/",
"lib/gis/colors/", pal
))
init
head(init, n = 10)
tratapal <- init[] %>%
gsub(" ", " ", .) %>%
gsub(" ", " ", .) %>%
gsub(" ", " ", .) %>%
gsub(" ", " ", .) %>%
gsub(" ", ":", .) %>%
gsub("white", paste0((col2rgb("white")), collapse = ":"), .) %>%
lapply(strsplit, split = ":")
pal_df <- lapply(tratapal, function(f) {
tb <- unlist(f)
if (length(tb) == 2) {
tb <- as.double(c(tb[1], col2rgb(tb[2])))
}
tb <- as.double(tb)
names(tb) <- c("limit", "r", "g", "b")
df <- as.data.frame(t(tb))
df$hex <- rgb(df$r, df$g, df$b, maxColorValue = 255)
df$pal <- pal
df
}) %>%
bind_rows() %>%
select(pal, limit, r, g, b, hex)
pal_df <- pal_df %>%
group_by(limit) %>%
slice_head(n = 1) %>%
filter(limit < 200)
# Try
r <- terra::rast(system.file("extdata/asia.tif", package = "tidyterra"))
library(ggplot2)
library(tidyterra)
ggplot() +
geom_spatraster(data = r) +
scale_fill_gradientn(
colours = pal_df$hex,
# values = scales::rescale(pal_df$limit),
# limit = as.vector(terra::minmax(r)),
na.value = "lightblue"
)
extfile <- paste0("./data-raw/grass/", pal, ".rds")
saveRDS(pal_df, extfile)
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