Created
November 14, 2022 11:03
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library(geodata) | |
library(giscoR) | |
library(tidyterra) | |
library(tidyverse) | |
library(terra) | |
library(sf) | |
folder <- ifelse(dir.exists("~/R/mapslib/misc"), | |
"~/R/mapslib/misc", | |
tempdir() | |
) | |
tmin <- worldclim_country("DEU", "tmin", path = folder) %>% | |
select(11) | |
names(tmin) <- "tmin" | |
plot(tmin) | |
library(giscoR) | |
cntry <- gisco_get_countries(country = "Germany", epsg = 3035) | |
# Transform crs | |
tmin2 <- project(tmin, pull_crs(cntry)) | |
plot(tmin2) | |
# Create hexbins | |
adjustarea <- sqrt(2 * 100000 * 1000 / sqrt(3)) | |
hex <- st_make_grid(cntry, | |
square = FALSE, flat_topped = TRUE, | |
cellsize = adjustarea | |
) | |
units::set_units(st_area(hex[1]), "km^2") | |
hex <- st_sf(id = seq_len(length(hex)), geom = hex) | |
# Cut by centroid | |
cents <- st_centroid(hex, of_largest_polygon = TRUE) | |
ids <- st_filter(cents, cntry) | |
# And select | |
hex_end <- hex %>% inner_join(ids %>% st_drop_geometry()) | |
# Rasterize | |
hex_end$min <- exactextractr::exact_extract(tmin2, hex_end, "mean") | |
range(hex_end$min) | |
ggplot(hex_end) + | |
geom_sf(aes(fill = min)) + | |
scale_fill_whitebox_c(palette = "deep", direction = -1, | |
breaks = seq(-4, 6, 1) | |
) + | |
guides(fill = guide_legend( | |
title = " ºC.", | |
direction = "horizontal", | |
nrow = 1, | |
keywidth = 1.5, | |
keyheight = 0.5, | |
label.position = "bottom", | |
title.position = "right" | |
)) + | |
theme_minimal() + | |
theme( | |
# plot.background = element_rect("grey99", colour = NA), | |
plot.margin = margin(20, 20, 20, 20), | |
plot.title = element_text(face = "bold"), | |
plot.subtitle = element_text( | |
margin = margin(b = 10) | |
), | |
legend.position = "bottom", | |
legend.key = element_rect(fill = "red", colour = NA, linewidth = 0), | |
legend.spacing.x = unit(0, "pt") | |
) + | |
labs( | |
title = "Winter is coming to Germany", | |
subtitle = "Avg. Minimum Temperature in November (25 km2 cell).", | |
caption = "Source: WordClim" | |
) | |
ggsave("deu.png", scale = 1.5, bg = "white") | |
knitr::plot_crop("deu.png") |
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