training_labels: IUCN threat categories for 884 orchid species
In azizka/IUCNN: Neural Networks to Approximate IUCN Red List Conservation Assessments
training_labels R Documentation
IUCN threat categories for 884 orchid species
Description
A dataset containing the International Union for the Conservation of Nature's
Global Red List conservation assessments for 884 species of orchids.
Usage
training_labels
Format
A data frame with 889 rows and 2 variables:
- species
The canonical species name
- labels
The IUCN conservation assessment,
converted to numerical for use with IUCNN.
0 = Critically Endangered (CR),
1 = Endangered (EN),
2 = Vulnerable (VU),
3 = Near Threatened (NT),
4 = Least Concern (LC)
Source
azizka/IUCNN documentation built on March 29, 2024, 9:38 a.m.
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| training_labels | R Documentation |
IUCN threat categories for 884 orchid species
Description
A dataset containing the International Union for the Conservation of Nature's Global Red List conservation assessments for 884 species of orchids.
Usage
training_labels
Format
A data frame with 889 rows and 2 variables:
- species
The canonical species name
- labels
The IUCN conservation assessment, converted to numerical for use with IUCNN. 0 = Critically Endangered (CR), 1 = Endangered (EN), 2 = Vulnerable (VU), 3 = Near Threatened (NT), 4 = Least Concern (LC)
Source
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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