openModeller is a fundamental niche modelling library, providing a uniform method for modelling distribution patterns using a variety of modelling algorithms.

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openModeller Funded by:

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 1.2 released
Monday, 03 October 2011
Version 1.2 of the openModeller framework and command line tools is now available for download. This release contains the new algorithm Random Forests and new versions of ENFA, Maxent and Environmental Distance. There were also changes in the Web Service, command line interface and the framework itself. Click here to get more information about this release and download it.
 
openModeller 1.1 released
Monday, 15 February 2010

Version 1.1 of the openModeller framework and command line tools is now available for download. This release includes two new algorithms - ENFA (Ecological Niche Factor Analysis) and Niche Mosaic - and a new version of the Maximum Entropy algorithm based on the Maxent paper (Phillips et al., 2006). It also contains a few adjustments in other existing algorithms (GARP, AquaMaps, ANN, CSM and Mahalanobis distance).

More details can be found here .

 
New publication explains openModeller in detail
Friday, 21 August 2009
If you want to know how openModeller works and why it was created, GeoInformatica has just published a new paper as an electronic Online First article with this information:

http://www.springerlink.com/content/n805714x26265573/

Now the following reference can be used to cite openModeller:

Muñoz, M.E.S., Giovanni, R., Siqueira, M.F., Sutton, T., Brewer, P., Pereira, R.S., Canhos, D.A.L. & Canhos, V.P. (2009) "openModeller: a generic approach to species' potential distribution modelling". GeoInformatica. DOI: 10.1007/s10707-009-0090-7

As soon as it gets published in a paginated issue, you will be able to add volume number and page range to the citation. The publications section will be updated accordingly when the corresponding journal issue gets compiled.
 
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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