IUCNN-package: Neural Networks to Approximate IUCN Red List Conservation...
In azizka/IUCNN: Neural Networks to Approximate IUCN Red List Conservation Assessments
IUCNN-package R Documentation
Neural Networks to Approximate IUCN Red List Conservation Assessments
Description
Train neural networks based on geographic species occurrences, environmental
data and existing IUCN Red List assessments to predict the conservation status
of "Not Evaluated" species, for any taxon or geographic region of interest.
Details
Package: IUCNN
Type: Package
Version: 3.0
License: LGPL-2.1
Author(s)
Alexander Zizka
(email: alexander.zizka@idiv.de)
Tobias Andermann
Daniele Silvestro
See Also
Useful links:
azizka/IUCNN documentation built on March 29, 2024, 9:38 a.m.
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| IUCNN-package | R Documentation |
Neural Networks to Approximate IUCN Red List Conservation Assessments
Description
Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest.
Details
| Package: | IUCNN |
| Type: | Package |
| Version: | 3.0 |
| License: | LGPL-2.1 |
Author(s)
Alexander Zizka
(email: alexander.zizka@idiv.de)
Tobias Andermann
Daniele Silvestro
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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