Create a Crisp Topographic Map in R
Jim Gruman
May 20, 2022
Last updated: 2022-05-20
Checks: 7 0
Knit directory: myTidyTuesday/
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|---|---|---|---|---|
| Rmd | 2278db5 | opus1993 | 2022-05-20 | Belgium map |
This is a Friday diversion, to work through Milos Popovic’s code and craft a nice looking topographic map of Belgium.
Reference https://github.com/milos-agathon/crisp-topographical-map-with-r
I'm excited to share my new topographic map of Italy🇮🇹 as well as the link to my new tutorial that shows you how to make your own crisp topo maps of any country in the world!
— Milos Popovic (@milos_agathon) May 14, 2022
💡https://t.co/Weo0NcwpBX#tutorial #RStats #DataScience #dataviz #maps #coding pic.twitter.com/QTzYBjmMUJ
First, let’s load the packages:
suppressPackageStartupMessages({
library(elevatr)
library(terra)
library(tidyverse)
library(sf)
library(giscoR)
library(marmap)
})Second, let’s load the data and a helper function to glue the counts of countries onto the country labels:
#---------
crsLONGLAT <- "+proj=longlat +datum=WGS84 +no_defs"
get_sf <- function(country_sf, country_transformed) {
country_sf <- giscoR::gisco_get_countries(
year = "2016",
epsg = "4326",
resolution = "10",
country = "Belgium"
)
country_transformed <- st_transform(country_sf, crs = crsLONGLAT)
return(country_transformed)
}
country_transformed <- get_sf()get_elevation_data <- function(country_elevation, country_elevation_df) {
country_elevation <- get_elev_raster(
locations = country_transformed,
z = 10, # Please decrease the z value if you experience R crashing
clip = "locations"
)
country_elevation_df <- as.data.frame(country_elevation, xy = T) %>%
na.omit()
colnames(country_elevation_df)[3] <- "elevation"
return(country_elevation_df)
}
country_elevation_df <- get_elevation_data()Mosaicing & ProjectingClipping DEM to locationsNote: Elevation units are in meters.get_elevation_map <- function(country_map) {
country_map <- ggplot() +
geom_tile(
data = country_elevation_df,
aes(x = x, y = y, fill = elevation)
) +
scale_fill_etopo() +
coord_sf(crs = crsLONGLAT) +
theme_minimal() +
theme(
text = element_text(family = "georg", color = "#22211d"),
axis.line = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position = "none",
panel.grid.major = element_line(color = "white", size = 0.2),
panel.grid.minor = element_blank(),
plot.title = element_text(size = 18, color = "grey20", hjust = 1, vjust = -5),
plot.caption = element_text(size = 8, color = "grey70", hjust = .15, vjust = 20),
plot.margin = unit(c(t = 0, r = 0, b = 0, l = 0), "lines"),
plot.background = element_rect(fill = "white", color = NA),
panel.background = element_rect(fill = "white", color = NA),
panel.border = element_blank()
) +
labs(
x = "",
y = NULL,
title = "Topographic map of Belgium",
subtitle = "",
caption = "©2022 @jim_gruman"
)
return(country_map)
}
country_map <- get_elevation_map()
country_map
sessionInfo()R version 4.1.3 (2022-03-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] marmap_1.0.6 giscoR_0.3.1 sf_1.0-7 forcats_0.5.1
[5] stringr_1.4.0 dplyr_1.0.9 purrr_0.3.4 readr_2.1.2
[9] tidyr_1.2.0 tibble_3.1.7 ggplot2_3.3.6 tidyverse_1.3.1
[13] terra_1.5-21 elevatr_0.4.2 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] colorspace_2.0-3 ellipsis_0.3.2 class_7.3-20
[4] rgdal_1.5-32 rprojroot_2.0.3 fs_1.5.2
[7] rstudioapi_0.13 proxy_0.4-26 farver_2.1.0
[10] bit64_4.0.5 fansi_1.0.3 lubridate_1.8.0
[13] xml2_1.3.3 codetools_0.2-18 R.methodsS3_1.8.1
[16] ncdf4_1.19 cachem_1.0.6 knitr_1.39
[19] jsonlite_1.8.0 broom_0.8.0 dbplyr_2.1.1
[22] R.oo_1.24.0 compiler_4.1.3 httr_1.4.3
[25] backports_1.4.1 assertthat_0.2.1 fastmap_1.1.0
[28] cli_3.2.0 later_1.3.0 s2_1.0.7
[31] prettyunits_1.1.1 htmltools_0.5.2 tools_4.1.3
[34] gtable_0.3.0 glue_1.6.2 reshape2_1.4.4
[37] wk_0.6.0 rappdirs_0.3.3 Rcpp_1.0.8.3
[40] cellranger_1.1.0 jquerylib_0.1.4 styler_1.7.0
[43] raster_3.5-15 vctrs_0.4.1 countrycode_1.4.0
[46] progressr_0.10.0 xfun_0.31 ps_1.7.0
[49] rvest_1.0.2 lifecycle_1.0.1 getPass_0.2-2
[52] scales_1.2.0 hms_1.1.1 promises_1.2.0.1
[55] slippymath_0.3.1 rematch2_2.1.2 yaml_2.3.5
[58] curl_4.3.2 memoise_2.0.1 sass_0.4.1
[61] tweetrmd_0.0.9 stringi_1.7.6 RSQLite_2.2.14
[64] highr_0.9 e1071_1.7-9 shape_1.4.6
[67] rlang_1.0.2 pkgconfig_2.0.3 evaluate_0.15
[70] lattice_0.20-45 bit_4.0.4 processx_3.5.3
[73] tidyselect_1.1.2 plyr_1.8.7 magrittr_2.0.3
[76] geojsonsf_2.0.2 R6_2.5.1 generics_0.1.2
[79] DBI_1.1.2 pillar_1.7.0 haven_2.5.0
[82] whisker_0.4 withr_2.5.0 units_0.8-0
[85] sp_1.4-7 modelr_0.1.8 crayon_1.5.1
[88] KernSmooth_2.23-20 utf8_1.2.2 tzdb_0.3.0
[91] rmarkdown_2.14 progress_1.2.2 grid_4.1.3
[94] readxl_1.4.0 blob_1.2.3 callr_3.7.0
[97] git2r_0.30.1 reprex_2.0.1 digest_0.6.29
[100] classInt_0.4-3 adehabitatMA_0.3.14 R.cache_0.15.0
[103] httpuv_1.6.5 R.utils_2.11.0 munsell_0.5.0
[106] bslib_0.3.1