Tool 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.
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.
- Author: A.Thomas, O.Conrad (c) 2016
- Menu: Spatial and Geostatistics|Grids|Principal Components
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 | 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 | 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 |
(*) optional |
Command-line
Usage: saga_cmd statistics_grid 15 [-GRID <str>] [-BASE <str>] [-PCA <str>] [-EIGEN <str>] [-COMPONENTS <num>] [-BASE_OUT <str>] [-OVERWRITE <str>] [-KERNEL_TYPE <str>] [-KERNEL_RADIUS <num>] [-METHOD <str>]
-GRID:<str> Grid
Grid, input
-BASE:<str> Base Topographies
Grid list, output, optional
-PCA:<str> Principal Components
Grid list, output
-EIGEN:<str> Eigen Vectors
Table, output, optional
-COMPONENTS:<num> Number of Components
Integer
Minimum: 1
Default: 7
-BASE_OUT:<str> Output of Base Topographies
Boolean
Default: 0
-OVERWRITE:<str> Overwrite Previous Results
Boolean
Default: 1
-KERNEL_TYPE:<str> Kernel Type
Choice
Available Choices:
[0] Square
[1] Circle
Default: 1
-KERNEL_RADIUS:<num> Kernel Radius
Integer
Minimum: 1
Default: 2
-METHOD:<str> Method
Choice
Available Choices:
[0] correlation matrix
[1] variance-covariance matrix
[2] sums-of-squares-and-cross-products matrix
Default: 1