-
openModeller 1.2 released
This release contains a new algorithm Random Forests and new versions of ENFA, Maxent and Environmental Distance. There were also changes in the Web Service, the command line interface and the framework itself.
2011-07-22 05:48:56 PDT by rdg
-
openModeller 1.1 released
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).
2010-02-15 10:24:29 PST by rdg
-
openModeller 1.0.0 released
This release includes adjustments in many parts of the framework, including ROC curve, algorithms (ANN and SVM), and command line tools (om_model and om_niche). There were also improvements in the modelling protocol and model statistics (possibility to use lowest presence threshold).
2009-05-22 09:11:21 PDT by rdg
-
openModeller 0.7.0 released
This release contains a new algorithm using Artificial Neural Networks, it also includes support to generate distribution maps in ARC/Info ASCII grid format, as well as important changes in the ROC Curve class. It also includes a few bugfixes and other improvements.
2009-01-15 06:01:14 PST by rdg
-
openModeller: 0.6.0 released
openModeller is a cross-platform C++ library for potential distribution modeling.
This release contains mainly new features, including:
- Drivers to directly read occurrences from GBIF or TAPIR/DarwinCore providers.
- A new command-line tool (om_points) that can be used to retrieve occurrence data using any of the available drivers.
- A new command-line tool (om_algorithm) to get information about the available algorithms.
- A new Maximum Entropy algorithm with two training methods: GIS (Generalized Iterative Scaling) and L-BFGS (Limited-Memory Variable Metric).
The GARP Best Subsets algorithm was also changed to accept the "max threads" parameter, which can be used to speed up the modelling process in multi-processor machines.
2008-07-08 09:02:12 PDT by rdg