rOpenSci package or resource used*
rnaturalearth
What did you do?
I created several R dataset packages for tracking the covid19 virus in different geographic locations (Italy, Switzerland, etc.). To help users create choropleth maps with a minimum effort I added for each dataset (when applicable) a column with the corresponding region/province naming convention used in the rnaturaleath package. The goal is to enable a seamless merge of the data with the geospatial data available in the package with the ne_state function.
For example, in the italy_province dataset from the covid19italy package the province_spatial presents the corresponding province names used on the rnaturalearth package. Merge and plot of the covid19 cases with rnaturalearth and mapview is straightforward:
library(covid19italy)
library(rnaturalearth)
library(mapview)
library(dplyr)
data("italy_province")
ne_states(country = "Italy", returnclass = "sf") %>%
select(province = name, region, geometry) %>%
left_join(italy_province %>%
filter(date == max(date)), # subseting for the most recent day
by = c("province" = "province_spatial")) %>%
mapview(zcol = "total_cases")
More information about the use cases of the rnaturalearth with covid19 dataset available on the following vignettes:
covid19italy package - Visualization covid19italy with Choropleth Maps • covid19italy
covid19swiss package - Geospatial Visualization of Switzerland Cantons • covid19swiss
Italy covid19 dashboard - Covid19 Italy
Twitter handler - @Rami_Krispin