prediction_occ: Geographic Occurrence Records for Not Evaluated Orchids
In azizka/IUCNN: Neural Networks to Approximate IUCN Red List Conservation Assessments
prediction_occ R Documentation
Geographic Occurrence Records for Not Evaluated Orchids
Description
A dataset containing geo-referenced occurrences of 100 Orchid species without
existing IUCN Red List assessment ("Not Evaluated"). This is example data
to predict the IUCN status.
Usage
prediction_occ
Format
A data frame with 14,900 rows and 3 variables:
- species
The canonical species name
- decimallongitude
longitudinal coordinates
- decimallatitude
latitudinal coordinates
Source
azizka/IUCNN documentation built on March 29, 2024, 9:38 a.m.
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| prediction_occ | R Documentation |
Geographic Occurrence Records for Not Evaluated Orchids
Description
A dataset containing geo-referenced occurrences of 100 Orchid species without existing IUCN Red List assessment ("Not Evaluated"). This is example data to predict the IUCN status.
Usage
prediction_occ
Format
A data frame with 14,900 rows and 3 variables:
- species
The canonical species name
- decimallongitude
longitudinal coordinates
- decimallatitude
latitudinal coordinates
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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