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.
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).
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).
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.
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.