Ecological boundary detection using Bayesian areal wombling.

ABSTRACT: The study of ecological boundaries and their dynamics is of fundamental importance to much of ecology, biogeography, and evolution. Over the past two decades, boundary analysis (of which wombling is a subfield) has received considerable research attention, resulting in multiple approaches for the quantification of ecological boundaries. Nonetheless, few methods have been developed that can simultaneously (1) analyze spatially homogenized data sets (i.e., areal data in the form of polygons rather than point-reference data); (2) account for spatial structure in these data and uncertainty associated with them; and (3) objectively assign probabilities to boundaries once detected. Here we describe the application of a Bayesian hierarchical framework for boundary detection developed in public he

SUBMITTER: Fitzpatrick MC 

PROVIDER: S-EPMC4024662 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature