The openModeller Desktop project aims to provide a flexible, user friendly, cross-platform environment where the entire process of conducting a fundamental niche modeling experiment can be carried out.

openModeller Desktop includes facilities for reading species occurrence and environmental data, selection of environmental layers on which the model should be based, creating a fundamental niche model and projecting the model into an environmental scenario.

A number of fundamental niche modeling algorithms are provided as plug-ins, including Climate Space Model, Bioclimatic Envelopes, GARP and others. Additional algorithms are planned for the future. The submission of alternative algorithms are always welcome.

What's New in This Release: [ read full changelog ]

· Local modelling plugin is now using version 0.7.0 of the openModeller library (which includes a new algorithm based on Artificial Neural Networks), multiple projections in the same experiment are now supported, new option to automatically split input points into testing and training according to a given proportion, new option in preferences to generate maps in Arc/Info ASCII Grid format (byte or floating point representation), display testing and training points using different shapes (circles for training points, triangles for testing points), display internal and external tests separately in the report, MSVC DLLs are now always installed on Windows, removed locale options (Portuguese and Afrikaans) that were not being updated.