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 2: Shortest-path betweenness subset centrality Case study: Analysis of landscape permeability in Washington with subset shortest-path betweenness centrality A similar landscape permeability layer was developed by the Washington State Wildlife Habitat Connectivity Working Group (website). The project also developed a map of core areas in the state with high levels of 'landscape intactness'. To provide an example of the contrast between subset and all-pairs methods, these core areas (blue areas in left panel below) were used as source and target patches in an analysis using shortest-path betweenness subset centrality. Subset centrality results (left panel below) show only linkages between pre-defined core areas rather than between all sites on the landscape. Linkages of greater importance are shown in darker orange shades. These results may be easier for planners to interpret than all-pairs centrality results (right panel below), especially if the input core areas were based on a ecologically-relevant classification.
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