The use of classification and regression algorithms using the random forests method with presence-only data to model species’ distribution
Random forests (RF) is a powerful species distribution model (SDM) algorithm. This ensemble model by default can produce categorical and numerical species distribution maps based on its classification tree (CT) and regression tree (RT) algorithms, respectively. The CT algorithm can also produce nume...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-01-01
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| Series: | MethodsX |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016119302596 |