Focal PCA on a Grid
- Author: A.Thomas, O.Conrad (c) 2016
- Menu: Spatial and Geostatistics | Grids | Principal Components
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. 
References
- Benichou, P., Lebreton, O. (1987): Prise en compte de la topographie pour la cartographie des champs pluviometriques statistiques. Meteorologie 7. Serie, no. 19.
- Thomas, A., Herzfeld, U.C. (2004): REGEOTOP: New Climatic Data Fields for East Asia Based on Localized Relief Information and Geostatistical Methods. International Journal of Climatology, 24(10), 1283-1306. DOI:10.1002/joc.1058. Wiley Online Library.
Parameters
|  | Name | Type | Identifier | Description | Constraints | 
|---|
| Input | Grid | grid, input | GRID | - | - | 
| Output | Base Topographies | grid list, output, optional | BASE | - | - | 
| Principal Components | grid list, output | PCA | - | - | 
| Eigen Vectors | table, output, optional | EIGEN | - | - | 
| Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - | 
| Number of Components | integer number | COMPONENTS | number of first components in the output; set to zero to get all | Minimum: 1
Default: 7 | 
| Output of Base Topographies | boolean | BASE_OUT | - | Default: 0 | 
| Overwrite Previous Results | boolean | OVERWRITE | - | Default: 1 | 
| Kernel Type | choice | KERNEL_TYPE | - | Available Choices:
[0] Square
[1] Circle
Default: 1 | 
| Kernel Radius | integer number | KERNEL_RADIUS | Kernel radius in cells. | Minimum: 1
Default: 2 | 
| Method | choice | METHOD | - | Available Choices:
[0] correlation matrix
[1] variance-covariance matrix
[2] sums-of-squares-and-cross-products matrix
Default: 1 | 
Command Line
Usage: saga_cmd statistics_grid 15 [-GRID ] [-BASE ] [-PCA ] [-EIGEN ] [-COMPONENTS ] [-BASE_OUT ] [-OVERWRITE ] [-KERNEL_TYPE ] [-KERNEL_RADIUS ] [-METHOD ]
  -GRID:         	Grid
	grid, input
  -BASE:         	Base Topographies
	grid list, output, optional
  -PCA:          	Principal Components
	grid list, output
  -EIGEN:        	Eigen Vectors
	table, output, optional
  -COMPONENTS:   	Number of Components
	integer number
	Minimum: 1
	Default: 7
  -BASE_OUT:     	Output of Base Topographies
	boolean
	Default: 0
  -OVERWRITE:    	Overwrite Previous Results
	boolean
	Default: 1
  -KERNEL_TYPE:  	Kernel Type
	choice
	Available Choices:
	[0] Square
	[1] Circle
	Default: 1
  -KERNEL_RADIUS:	Kernel Radius
	integer number
	Minimum: 1
	Default: 2
  -METHOD:       	Method
	choice
	Available Choices:
	[0] correlation matrix
	[1] variance-covariance matrix
	[2] sums-of-squares-and-cross-products matrix
	Default: 1