CovarExtract: Function to extract covariates from different rasters
In statnmap/SDMSelect: Cross-validation model selection and species distribution mapping
View source: R/DataPreparation.R
Description
Original covariates raster may have different projections.
CovarExtract allows to extract in these different projections.
Usage
1
CovarExtract(x, cov.paths, names.cov, is.factor)
Arguments
x
SpatialPointsDataFrame
cov.paths
vector of paths of all raster files to be added in the multi-layer raster
names.cov
Optional. vector of names of multi-layer raster. Same length as x.
is.factor
position of covariates that are factors or categories.
Resampling (if required) is bilinear by default but "ngb" (nearest neighbour) for factors.
statnmap/SDMSelect documentation built on April 1, 2021, 2:01 p.m.
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View source: R/DataPreparation.R
Description
Original covariates raster may have different projections. CovarExtract allows to extract in these different projections.
Usage
1 | CovarExtract(x, cov.paths, names.cov, is.factor)
|
Arguments
x |
SpatialPointsDataFrame |
cov.paths |
vector of paths of all raster files to be added in the multi-layer raster |
names.cov |
Optional. vector of names of multi-layer raster. Same length as x. |
is.factor |
position of covariates that are factors or categories. Resampling (if required) is bilinear by default but "ngb" (nearest neighbour) for factors. |
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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