The goal of gurugis is to provide a series of functions useful to advanced GIS spatial analysis workflow.
You can install the development version from GitHub with:
# install.packages("devtools") devtools::install_github("damienjacques/gurugis")
This is a basic example which shows you how to make quick zonal statistics from a raster and a vector layer defining the areas:
library(gurugis) library(raster) #> Loading required package: sp library(sf) #> Linking to GEOS 3.5.1, GDAL 2.2.2, PROJ 4.9.2 # raster file for which I want to compute zonal statistics plot(precipitation)
# vector layer with the zones plot(belgium, main = "Belgium ADM 3")
# compute average of precipiation in each zone output <- zonal_pipe(precipitation, belgium, stats = "mean") # plot 6 first months plot(output[18:23])
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