Module Principle Components Analysis

Principle Components Analysis (PCA) for grids. Implementation based on F. Murtagh's code as provided by the StatLib web site.

References:
Bahrenberg, G., Giese, E., Nipper, J. (1992): Statistische Methoden in der Geographie 2 - Multivariate Statistik. pp.198-277.

Author: O.Conrad (c) 2010
Specification: grid
Menu: Spatial and Geostatistics|Grids|Principle Components

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Grids	Grid list (input)	`GRIDS`	-	-
Output	Principle Components	Grid list (output)	`PCA`	-	-
Output	Eigen Vectors (*)	Table (optional output)	`EIGEN`	-	-
Options	Method	Choice	`METHOD`	-	Available Choices: [0] correlation matrix [1] variance-covariance matrix [2] sums-of-squares-and-cross-products matrix Default: 1
Options	Number of Components	Integer	`NFIRST`	maximum number of calculated first components; set to zero to get all	Minimum: 0 Default: 3
(*) optional

Command-line

Usage: saga_cmd statistics_grid 8 -GRIDS <str> [-PCA <str>] [-EIGEN <str>] [-METHOD <str>] [-NFIRST <num>]
  -GRIDS:<str> 	Grids
	Grid list (input)
  -PCA:<str>   	Principle Components
	Grid list (output)
  -EIGEN:<str> 	Eigen Vectors
	Table (optional output)
  -METHOD:<str>	Method
	Choice
	Available Choices:
	[0] correlation matrix
	[1] variance-covariance matrix
	[2] sums-of-squares-and-cross-products matrix
	Default: 1
  -NFIRST:<num>	Number of Components
	Integer
	Minimum: 0
	Default: 3