Module GWR for Multiple Predictors
Geographically Weighted Regression for multiple predictors. Regression details are stored in a copy of input points.
Reference:
- Author: O.Conrad (c) 2010
- Specification: grid
- 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 | - | - | |
Weighting Function | Choice | DW_WEIGHTING | - | Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian weighting Default: 3 | |
Inverse Distance Weighting Power | Floating point | DW_IDW_POWER | - | Minimum: 0.000000 Default: 1.000000 | |
Inverse Distance Offset | Boolean | DW_IDW_OFFSET | Calculates weights for distance plus one, avoiding division by zero for zero distances | Default: 1 | |
Gaussian and Exponential Weighting Bandwidth | Floating point | DW_BANDWIDTH | - | Minimum: 0.000000 Default: 1.000000 | |
Search Range | Choice | SEARCH_RANGE | - | Available Choices: [0] local [1] global Default: 0 | |
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: 0 | |
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>] [-DW_WEIGHTING <str>] [-DW_IDW_POWER <str>] [-DW_IDW_OFFSET <str>] [-DW_BANDWIDTH <str>] [-SEARCH_RANGE <str>] [-SEARCH_RADIUS <str>] [-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) -DW_WEIGHTING:<str> Weighting Function Choice Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian weighting Default: 3 -DW_IDW_POWER:<str> Inverse Distance Weighting Power Floating point Minimum: 0.000000 Default: 1.000000 -DW_IDW_OFFSET:<str> Inverse Distance Offset Boolean Default: 1 -DW_BANDWIDTH:<str> Gaussian and Exponential Weighting Bandwidth Floating point Minimum: 0.000000 Default: 1.000000 -SEARCH_RANGE:<str> Search Range Choice Available Choices: [0] local [1] global Default: 0 -SEARCH_RADIUS:<str> 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: 0 -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