Introducing connectivity models
This blog works through some of the graph-theoretic properties of wildlife connectivity modeling with examples in R. We start with network metrics in igraph and then move to spatial models using gDistance.
This blog works through some of the graph-theoretic properties of wildlife connectivity modeling with examples in R. We start with network metrics in igraph and then move to spatial models using gDistance.
Spatial data are ubiquitous and form the basis for many of our inquiries into social, ecological, and evolutionary processes. As such, developing the skills necessary for incorporating spatial data into reproducible statistical workflows is critical.