Tool GWR for Multiple Predictor Grids
Geographically Weighted Regression for a multiple predictors supplied as grids, to which the regression model is applied. Further details can be stored optionally.
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 | - | - |
Predictors | Grid list, input | PREDICTORS | - | - | |
Output | Residuals (*) | Shapes, output, optional | RESIDUALS | - | - |
Regression | Grid, output | REGRESSION | - | - | |
Coefficient of Determination | Grid, output | QUALITY | - | - | |
Regression Parameters (*) | Grid list, output, optional | MODEL | - | - | |
Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
Dependent Variable | Table field | DEPENDENT | - | - | |
Logistic Regression | Boolean | LOGISTIC | - | Default: 0 | |
Output of Regression Parameters | Boolean | MODEL_OUT | - | Default: 0 | |
Model Resolution | Choice | RESOLUTION | - | Available Choices: [0] same as predictors [1] user defined Default: 1 | |
Resolution | Floating point | RESOLUTION_VAL | map units | Minimum: 0.000000 Default: 1.000000 | |
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 | |
(*) optional |
Command-line
Usage: saga_cmd statistics_regression 6 [-POINTS <str>] [-DEPENDENT <str>] [-RESIDUALS <str>] [-PREDICTORS <str>] [-REGRESSION <str>] [-QUALITY <str>] [-MODEL <str>] [-LOGISTIC <str>] [-MODEL_OUT <str>] [-RESOLUTION <str>] [-RESOLUTION_VAL <double>] [-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 -RESIDUALS:<str> Residuals Shapes, output, optional -PREDICTORS:<str> Predictors Grid list, input -REGRESSION:<str> Regression Grid, output -QUALITY:<str> Coefficient of Determination Grid, output -MODEL:<str> Regression Parameters Grid list, output, optional -LOGISTIC:<str> Logistic Regression Boolean Default: 0 -MODEL_OUT:<str> Output of Regression Parameters Boolean Default: 0 -RESOLUTION:<str> Model Resolution Choice Available Choices: [0] same as predictors [1] user defined Default: 1 -RESOLUTION_VAL:<double> Resolution Floating point Minimum: 0.000000 Default: 1.000000 -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