Connectivity Analysis Toolkit License Version history Getting Started Overview of Methods Three Methods for Connectivity Analysis Subset Centrality: Mapping Linkages All-pairs Centrality: Mapping Landscape Connectivity Network Flow Analysis of Time Series Input files Output files Running the Toolkit from the GUI Hexmap Tab Graphs Tab Connectivity Tab Output Tab Running the Toolkit from the Command Prompt Flowchart of analysis process Examples Example 1: Shortest-path betweenness centrality (BC) Example 2: Shortest-path betweenness subset centrality Example 3: Comparison of subset and all-pairs current flow BC Example 4: Comparison of shortest-path and current flow BC Tutorial Exercise 1 - Mapping linkages with min-cost-max-flow subset centrality Exercise 2 - Mapping linkages with shortest-path subset centrality Exercise 3 - Mapping landscape connectivity with all-pairs centrality Exercise 4 - Mapping connectivity under climate change: analysis of time series Troubleshooting Related Resources System requirements Contacts & Credits
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# Example 3: Comparison of subset and all-pairs current flow BC Case study: Habitat connectivity for sage grouse The Greater Sage Grouse (Centrocercus urophasianus) is a species of conservation concern in the sagebrush biome of the western United States. We used a habitat model for sage grouse as input to 2 related functions: subset current flow centrality, as calculated by the program Circuitscape (top panel), and all-pairs current flow centrality calculated by the CAT (bottom panel). Subset nodes in Circuitscape (shown in black) were based on the geographic centroids of sage grouse subpopulations. Linkages of greater importance (more current) are shown in darker orange shades. The results shown in the two panels are similar, and as the number of subset nodes is further increased, Circuitscape results will more closely approximate the results of all-pairs current flow centrality.
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