Software for SEEVA Analysis

About SEEVA

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Spatial Evolutionary and Ecological Vicariance Analysis.

This software package, authored by Einar Heiberg (www.heiberg.se), processes data gathered from species or individuals in a spatial, taxonomic, and/or phylogenetic context using the Spatial Evolutionary and Ecological Vicariance Analysis methodology developed by Lena Struwe, Peter Smouse, Richard Lathrop, and Scott Haag at Rutgers University.

SEEVA

In contrast to traditional vicariance biogeography, which assumes geographic separation of populations, the Spatial Evolutionary and Ecological Vicariance Analysis approach allows researchers to look at sympatric ecological vicariance of species and clades. This method utilizes GIS-derived dataset of collection-associated ecological and environmental data in combination with phylogenetic data to investigate trends in speciation using statistical methods.

For more background information, please see user manual and the sister site for SEEVA at Rutgers University.

The software is free to use, provided that you properly reference the software when publishing papers where it has been used. For further information, see the user manual.

Latest news

• Fixed missing file. For some time the MCRInstaller was missing. It is now fixed.
• Version 1.01 Important bugfix. See version history.
• Version 1.00 released with new features. See version history.
• Added a new index of divergence.