[This article was first published on theBioBucket*, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
A short tutorial on doing intersections in R GIS. gIntersection{rgeos} will pick the polygons of the first submitted polygon contained within the second poylgon – this is done without cutting the polygon’s edges which cross the clip source polygon. For the function that I use to download the example data, url_shp_to_spdf() please see HERE. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
library(rgeos) library(dismo) URLs <- c("http://gis.tirol.gv.at/ogd/umwelt/wasser/wis_gew_pl.zip", # all water bodies in Tyrol "http://gis.tirol.gv.at/ogd/umwelt/wasser/wis_tseepeicher_pl.zip") # only artificial.. y <- lapply(URLs, url_shp_to_spdf) z <- unlist(unlist(y)) a <- getData('GADM', country = "AT", level = 2) b <- a[a$NAME_2=="Innsbruck Land", ] # political district's boundaries c <- spTransform(b, z[[1]]@proj4string) z1_c <- gIntersection(z[[1]], c, byid = TRUE) z2_c <- gIntersection(z[[2]], c, byid = TRUE) plot(c) plot(z1_c, lwd = 5, border = "red", add = T) plot(z2_c, lwd = 5, border = "green", add = T) plot(z[[1]], border = "blue", add = T) # I plot this on top, so it will be easier to identify plot(z[[2]], border = "brown", add = T)
To leave a comment for the author, please follow the link and comment on their blog: theBioBucket*.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.