openModeller is an ecological niche modelling library, providing a uniform method to model species distribution patterns with a variety of algorithms.

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Welcome to the openModeller project home page!

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 GARP, Climate Space Model, Bioclimatic Envelopes, Support Vector Machines and others.

The project is currently being developed by the Centro de Referência em Informação Ambiental (CRIA), Escola Politécnica da USP (Poli), and Instituto Nacional de Pesquisas Espaciais (INPE) as an open-source initiative. It is funded by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), the Incofish project, and by individuals that have generously contributed their time. Previous collaborators include the BDWorld project (University of Reading), the University of Kansas Natural History Museum & Biodiversity Research Center (KU), and other individual participants. 


 

openModeller 1.0 is available
Friday, 22 May 2009
This release contains only a few adjustments and minor feature enhancements, but it consolidates all work that was done during the last 4 years as part of a thematic project funded by Fapesp. Some people are still working on additional features that will hopefully be incorporated in future releases, such as a new version of the maximum entropy algorithm (Maxent), a new algorithm called Niche Mosaic and paralellized versions of GARP.

Version 1.0 includes adjustments in algorithms (ANN and SVM), command line tools (om_model and om_niche) and ROC curve procedures. It also contains improvements in the modelling protocol, and model statistics (possibility to use lowest presence threshold).

More details about this release can be seen here .
 
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