azizka/IUCNN: Neural Networks to Approximate IUCN Red List Conservation Assessments
Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" or "Data Deficient" species, for any taxon or geographic region of interest. The reference for the methodology is: Zizka et al. (2022) <10.1111/ddi.13450>.
Getting started
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Package details |
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| Maintainer | |
| License | LGPL-2.1 |
| Version | 3.0.0 |
| URL | https://github.com/IUCNN/IUCNN |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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