2004 UC Proceedings Abstract

back
   Back


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