By Hannah Hoff
Our last map-making tutorial provided code for basic sampling maps in R. In a continued effort to demystify the world of spatial analysis, Hannah has created a tutorial that builds on that foundation to share some useful functions for tailoring map designs to different types of studies. This tutorial uses a "finalized" map from Hannah's earlier post to create a map inset, which allows us to zoom in on areas of interest (sampling points, population ranges, etc.). This may be particularly useful for studies where sampling occurs in a very small area relative to the broader landscape, or in cases where there is substantial visual overlap between sample points. As some of our work in Yellowstone is focused on smaller areas, map insets have become a necessary part of our map-making pipeline!
A link to this PDF tutorial is available here. A link is also be posted on the Lab Wiki, where we are making an effort at compiling useful computing resourcesHannah has also set up a GitHub repository for these tutorials (https://github.com/hkhoff/Map-making-in-R-tutorials-), which includes the R code used in each tutorial, and the ('dummy') data that was created as an example of what sorts of data might be fed into the code; both files can be downloaded for a more interactive tutorial experience :)
Computational resources kindly contributed and explained by members of our community.