Tool GWR for Multiple Predictors
Geographically Weighted Regression for multiple predictors. Regression details are stored in a copy of input points.
References
- Fotheringham, S.A., Brunsdon, C., Charlton, M. (2002): Geographically Weighted Regression: the analysis of spatially varying relationships. John Wiley & Sons. online.
- Fotheringham, S.A., Charlton, M., Brunsdon, C. (1998): Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis. Environment and Planning A 30(11), 1905–1927. online.
- Lloyd, C. (2010): Spatial Data Analysis - An Introduction for GIS Users. Oxford, 206p.
- Zhang, D., Ren, N., and Hou, X. (2018): An improved logistic regression model based on a spatially weighted technique (ILRBSWT v1.0) and its application to mineral prospectivity mapping. Geosci. Model Dev., 11, 2525-2539. doi:10.5194/gmd-11-2525-2018.
- Author: O.Conrad (c) 2010
- Menu: Spatial and Geostatistics|Geographically Weighted Regression
Parameters
| Name | Type | Identifier | Description | Constraints | |
|---|---|---|---|---|---|
| Input | Points | Shapes (input) | POINTS | - | - |
| Output | Regression | Shapes (output) | REGRESSION | - | - |
| Options | Dependent Variable | Table field | DEPENDENT | - | - |
| Predictors | Table fields | PREDICTORS | - | - | |
| Logistic Regression | Boolean | LOGISTIC | - | Default: 0 | |
| Weighting Function | Choice | DW_WEIGHTING | - | Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian Default: 0 | |
| Power | Floating point | DW_IDW_POWER | - | Minimum: 0.000000 Default: 2.000000 | |
| Bandwidth | Floating point | DW_BANDWIDTH | Bandwidth for exponential and Gaussian weighting | Minimum: 0.000000 Default: 1.000000 | |
| Search Range | Choice | SEARCH_RANGE | - | Available Choices: [0] local [1] global Default: 1 | |
| Maximum Search Distance | Floating point | SEARCH_RADIUS | local maximum search distance given in map units | Minimum: 0.000000 Default: 1000.000000 | |
| Number of Points | Choice | SEARCH_POINTS_ALL | - | Available Choices: [0] maximum number of nearest points [1] all points within search distance Default: 1 | |
| Minimum | Integer | SEARCH_POINTS_MIN | minimum number of points to use | Minimum: 1 Default: 16 | |
| Maximum | Integer | SEARCH_POINTS_MAX | maximum number of nearest points | Minimum: 1 Default: 20 | |
| Direction | Choice | SEARCH_DIRECTION | - | Available Choices: [0] all directions [1] quadrants Default: 0 |
Command-line
Usage: saga_cmd statistics_regression 7 [-POINTS <str>] [-DEPENDENT <str>] [-PREDICTORS <str>] [-REGRESSION <str>] [-LOGISTIC <str>] [-DW_WEIGHTING <str>] [-DW_IDW_POWER <double>] [-DW_BANDWIDTH <double>] [-SEARCH_RANGE <str>] [-SEARCH_RADIUS <double>] [-SEARCH_POINTS_ALL <str>] [-SEARCH_POINTS_MIN <num>] [-SEARCH_POINTS_MAX <num>] [-SEARCH_DIRECTION <str>] -POINTS:<str> Points Shapes (input) -DEPENDENT:<str> Dependent Variable Table field -PREDICTORS:<str> Predictors Table fields -REGRESSION:<str> Regression Shapes (output) -LOGISTIC:<str> Logistic Regression Boolean Default: 0 -DW_WEIGHTING:<str> Weighting Function Choice Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian Default: 0 -DW_IDW_POWER:<double> Power Floating point Minimum: 0.000000 Default: 2.000000 -DW_BANDWIDTH:<double> Bandwidth Floating point Minimum: 0.000000 Default: 1.000000 -SEARCH_RANGE:<str> Search Range Choice Available Choices: [0] local [1] global Default: 1 -SEARCH_RADIUS:<double> Maximum Search Distance Floating point Minimum: 0.000000 Default: 1000.000000 -SEARCH_POINTS_ALL:<str> Number of Points Choice Available Choices: [0] maximum number of nearest points [1] all points within search distance Default: 1 -SEARCH_POINTS_MIN:<num> Minimum Integer Minimum: 1 Default: 16 -SEARCH_POINTS_MAX:<num> Maximum Integer Minimum: 1 Default: 20 -SEARCH_DIRECTION:<str> Direction Choice Available Choices: [0] all directions [1] quadrants Default: 0