openModeller 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.
The software 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 algorithms are provided as plugins, including Bioclimatic Envelopes, GARP, Climate Space Model, Support Vector Machines and others.
What's New in This Release: [ read full changelog ]
· Bugfix: Interquartile and envelope size adjustments were using wrong reference values for salinity and temperature in the Aquamaps algorithm.
· Bugfix: All GARP algorithms were crashing when the abundance value associated with one of the occurrence points had more than two digits in the integer part.
· Increased the default number of neurons in the hidden layer of the ANN algorithm.
· New argument "s" in om_niche allowing model outputs to be scaled.
· Re-implemented and re-enabled Maximum entropy algorithm based on the well-known Maxent.
· Changed environmental distance algorithm forcing the Mahalanobis distance to use an identity matrix as the covariance matrix when there's only one input point.
· Fixed small logical error in the CSM algorithm that could affect models with a large number of layers.
· New algorithm (Niche Mosaic) implemented by Dr. Missae Yamamoto.
· New algorithm (ENFA) kindly implemented by Dr. Chris Yesson.