#Install r studio map package install
You are going to need to install a few extra packages to follow along with this lecture.
#Install r studio map package how to
I feel that the above twp topics should cover a large part of what people will need for making useful maps of field sites, or sampling locations, or fishing track lines, etc.įor today we will be skipping how to read in traditional GIS “shapefiles” so as to minimize the number of packages that need installation, but keep in mind that it isn’t too hard to do that in R, too. Use ggmap to make some pretty decent looking maps.Discuss some ggplot2 related issues about plotting things.Show how to convert those data into data frames that ggplot2 can deal with.Introduce readers to the map outlines available in the maps package.It is pretty sweet, but does not support different projections. ggmap is a package that goes out to different map servers and grabs base maps to plot things on, then it sets up the coordinate system and writes it out as the base layer for further ggplotting. Hadley has included a few functions that make it relatively easy to interact with the data in R’s maps package, and of course, once a map layer is laid down, you have all the power of ggplot at your fingertips to overlay whatever you may want to over the map. Nor will cover the somewhat more simplified approach to projections using the mapproj package.Īs in our previous explorations in this course, when it comes to plotting, we are going to completely skip over R’s base graphics system and head directly to Hadley Wickham’s ggplot2 package. We won’t cover the more advanced GIS-related topics nor using rgdal, or sp to plot maps with different projections, etc.
Today, we are going to focus on mapping using base maps from R’s tried and true maps package and also using the ggmap package. More recently, a third approach to convenient mapping, using ggmap has been developed that allows the tiling of detailed base maps from Google Earth or Open Street Maps, upon which spatial data may be plotted. This is an exciting development, but not always easily accessible for the beginner, as it requires installation of specialized external libraries (that may, on some platforms, not be straightforward) and considerable familiarity with GIS concepts. More recently, with the advent of packages like sp, rgdal, and rgeos, R has been acquiring much of the functionality of traditional GIS packages (like ArcGIS, etc). For a long time, R has had a relatively simple mechanism, via the maps package, for making simple outlines of maps and plotting lat-long points and paths on them.
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