statistics grid 15-Focal PCA on a Grid


Computable Model OpenGMS Model-Service Package


contributed at 2019-05-09

MDL Description

Style statistics_grid
Categories SAGA / Spatial and Geostatistics > Grids
Language EN_US
Name Focal PCA on a Grid
Keywords Focal PCA on a Grid
Abstract This tool uses the difference in cell values of a center cell and its neighbours (as specified by the kernel) as features for a Principle Components Analysis (PCA). This method has been used by Thomas and Herzfeld (2004) to parameterize the topography for a subsequent regionalization of climate variables with the principle components as predictors in a regression model.
Show Detail
Type Property Value
Assemblies GDALRasterMapping.exe $(DataMappingPath)\GDALRasterMapping\
OGRVectorMapping.exe $(DataMappingPath)\OGRVectorMapping\

How to Cite

Jie Song (2019). statistics grid 15-Focal PCA on a Grid, Computable Model, OpenGMS,

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contributed at 2019-05-09

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