The Maxent software is based on the maximum-entropy approach for species habitat modeling. This software takes as input a set of layers or environmental variables (such as elevation, precipitation, etc.), as well as a set of georeferenced occurrence locations, and produces a model of the range of the given species. Maxent is a Java-based applicatio ...
DOI: 10.1111/ecog.03049
DOI: 10.1016/j.ecolmodel.2005.03.026
DOI: 10.1111/j.1472-4642.2010.00725.x
Last Update: 2016
Data analysis Species populations Plants Mammals Reptiles Butterflies Other Invertebrates Birds Fishes Amphibians Macroinvertebrates
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The Maxent software is based on the maximum-entropy approach for species habitat modeling. This software takes as input a set of layers or environmental variables (such as elevation, precipitation, etc.), as well as a set of georeferenced occurrence locations, and produces a model of the range of the given species. Maxent is a Java-based application and can be used on any computer running Java version 1.5 or later. The model for a species is determined from a set of environmental or climate layers (or "coverages") for a set of grid cells in a landscape, together with a set of sample locations where the species has been observed. The model expresses the suitability of each grid cell as a function of the environmental variables at that grid cell. A high value of the function at a particular grid cell indicates that the grid cell is predicted to have suitable conditions for that species. The computed model is a probability distribution over all the grid cells. The distribution chosen is the one that has maximum entropy subject to some constraints: it must have the same expectation for each feature (derived from the environmental layers) as the average over sample locations.
Contact person: | Steven J. Phillips |
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Contact e-mail: | mrmaxent@gmail.com |
Contact Organization: | Center for Biodiversity and Conservation, American Museum of Natural History |
License: | MIT License (MIT) |
Technical Status: | Finish and with constant technical support |
URL(s): |
https://biodiversityinformatics.amnh.org/open_source/maxent
https://github.com/mrmaxent/Maxent https://biodiversityinformatics.amnh.org/open_source/maxent/Maxent_tutorial2017.pdf |
Awesome tool, which was used as well for the article: https://doi.org/10.1038/s41586-020-2138-7 published in nature.
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