worldclim_simulation: Simulated data based on WorldClim Bioclimatic variables
In waywiser: Ergonomic Methods for Assessing Spatial Models
worldclim_simulation R Documentation
Simulated data based on WorldClim Bioclimatic variables
Description
This data is adapted from the CAST vignette
vignette("cast02-AOA-tutorial", package = "CAST").
The original data is derived from the Worldclim global climate variables.
Usage
worldclim_simulation
Format
An sf object with 10,000 rows and 6 columns:
- bio2
Mean Diurnal Range (Mean of monthly (max temp - min temp))
- bio10
Mean Temperature of Warmest Quarter
- bio13
Precipitation of Wettest Month
- bio19
Precipitation of Coldest Quarter
- geometry
The location of the sampled point.
- response
A virtual species distribution, generated using the generateSpFromPCA() function from the virtualspecies package.
Source
waywiser documentation built on April 16, 2025, 1:10 a.m.
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| worldclim_simulation | R Documentation |
Simulated data based on WorldClim Bioclimatic variables
Description
This data is adapted from the CAST vignette
vignette("cast02-AOA-tutorial", package = "CAST").
The original data is derived from the Worldclim global climate variables.
Usage
worldclim_simulation
Format
An sf object with 10,000 rows and 6 columns:
- bio2
Mean Diurnal Range (Mean of monthly (max temp - min temp))
- bio10
Mean Temperature of Warmest Quarter
- bio13
Precipitation of Wettest Month
- bio19
Precipitation of Coldest Quarter
- geometry
The location of the sampled point.
- response
A virtual species distribution, generated using the
generateSpFromPCA()function from thevirtualspeciespackage.
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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