DESCRIPTION
openModeller Desktop is a generic framework for carrying out fundamental niche modelling experiments - typically used to predict species distribution given a set of environmental raster layers. The openModeller Desktop application builds on the openModeller library by providing a user friendly graphical user interface for carrying out niche modelling experiments.
- A layerset manager. This is for creating named collections of layers for use in modelling experiments. Having layers organised in named sets removes the tedium of repeatedly having to select layers from the file system for different model runs.
- An algorithm profile manager. Algorithm profiles let you store the custom parameters you use for running models in a reusable way.
- An experiment designer. The experiment designer allows you to set up an experiment consisting of multiple species and algorithm profiles.
- Many more features.
WHAT'S NEW
Version 1.0.9: Changes:
- local modelling plugin is now using version 1.0 of the openModeller library;
- new interface to perform external tests on existing models (button with ROC curve image);
- new interface to perform pre-analysis on layers (jackknife & chi-square);
- experiment designer has new parameters for model validation: custom threshold or lowest training threshold for confusion matrix, and maximum omission for partial ROC (AUC ratio);
- output directory and output file type can now be specified for each experiment;
- new window to display all raster formats supported;
- bugfix: false negatives cell in the confusion matrix was showing false positives.
REQUIREMENTS
Mac OS X 10.4 or later.
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