lr_prediction: Create species model from GBIF object
In TCBCprototype/localreports: Creates a report on distribution for species.
Description
Usage
Arguments
Value
Description
Uses ideas from https://jcoliver.github.io/learn-r/011-species-distribution-models.html, by Jeff Oliver
Usage
1
lr_prediction(gbif)
Arguments
gbif
gbif class object, from lr_get_gbif_data_for_species() or rgbif::occ_search()
Value
list with objects prediction (from dismo::predict()), geographic_extent (raster extent return), observations (data.frame of longitudes and latitudes), ranges (vector of ranges of species data), and gbif (original data).
TCBCprototype/localreports documentation built on Nov. 12, 2021, 7:17 p.m.
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Description Usage Arguments Value
Description
Uses ideas from https://jcoliver.github.io/learn-r/011-species-distribution-models.html, by Jeff Oliver
Usage
1 | lr_prediction(gbif)
|
Arguments
gbif |
gbif class object, from lr_get_gbif_data_for_species() or rgbif::occ_search() |
Value
list with objects prediction (from dismo::predict()), geographic_extent (raster extent return), observations (data.frame of longitudes and latitudes), ranges (vector of ranges of species data), and gbif (original data).
R Package Documentation
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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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