SAGA.statistics_grid.15: Focal PCA on a Grid
This tool uses the difference in cell values of a center cell and its neighbours (as specified by the kernel) as features for a Principal Component 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 principal components as predictors in a regression model.
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{"id": "SAGA.statistics_grid.15", "title": "Focal PCA on a Grid", "description": "This tool uses the difference in cell values of a center cell and its neighbours (as specified by the kernel) as features for a Principal Component 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 principal components as predictors in a regression model. 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http://demo.mapmint.com/ogc-apihttp://localhost/ogc-api/processes/SAGA.statistics_grid.15.html Last modified: Sat Feb 19 15:43:34 CET 2022