SpatialComponents: A class for gridded components derived using the 'spc' method
In Envirometrix/landmap: Automated Spatial Prediction using Ensemble Machine Learning
SpatialComponents-class R Documentation
A class for gridded components derived using the spc method
Description
A class containing a list of gridded components and results of principal component analysis.
Slots
predicted:object of class "SpatialPixelsDataFrame"; predicted values for components
pca:object of class "list"; output objects from the stats::prcomp process — contains objects: 'stdev', 'rotation', 'center' and 'scale'
Author(s)
Tomislav Hengl
Envirometrix/landmap documentation built on June 10, 2022, 10:12 p.m.
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| SpatialComponents-class | R Documentation |
A class for gridded components derived using the spc method
Description
A class containing a list of gridded components and results of principal component analysis.
Slots
predicted:object of class
"SpatialPixelsDataFrame"; predicted values for componentspca:object of class
"list"; output objects from thestats::prcompprocess — contains objects: 'stdev', 'rotation', 'center' and 'scale'
Author(s)
Tomislav Hengl
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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