Network Models

Overview

This activity will focus on working with simple networks. You will need the following data sets.

library( gstudio ) 
library( popgraph )
data(arapat)
data(lopho)
data(baja)

1. Create a de novo network based upon a hypothesized population model for your own organism and study site. Parameterize the nodes with locations and names and visualize it both a-spatially and spatially projected onto a map.

2. Estimate a population graph for the arapat data set and visualize it in a leaflet() map.

3. Estimate from the arapat population graph node-specific parameters such as degree, centrality, and betweenness. Load in the previous sex-baised dispersal data sets. Is the estimated habitat suitability for each sampling locale correlated with any of these graph-theoretic parameters?

4. Load in the lopho and upiga population graphs and map out each of their individual popualtion graphs as well as the congruence_topology. What kind of inferences can you gain by looking at these levels of spatial synchrony?