2004 UC Proceedings Abstract
Measuring Functional Landscape Connectivity Using Graph Theory Track: Ecology and Conservation Author(s): David Theobald A significant challenge for conservation science is to better represent and understand functional connectivity of landscapes. Graph theory is incorporated in least-cost methods that are commonly used to generate maps that reflect effective landscapes. A modeling framework programmed in ArcGIS that further incorporates graph theory will be demonstrated. This framework uses a data structure called connectivity lists to support derivation of spatial weights matrices and computation of graph-based connectivity measures. David Theobald Natural Resource Ecology Lab Colorado State University Colorado State University Fort Collins , CO 80523-1499 US Phone: 970.491.5122 E-mail: davet@nrel.colostate.edu |
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