statistics_grid_15-Focal_PCA_on_a_Grid

Focal PCA on a Grid

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contributed at 2018-11-06

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Geography SubjectGIScience & Remote SensingSpatial Analysis

Detailed 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 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.

How to cite

SAGA (2018). statistics_grid_15-Focal_PCA_on_a_Grid, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/9c15352d-3893-4cc5-8c88-6c9a8c2d8040
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contributed at 2018-11-06

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