Geographically Weighted Regression for multiple predictors. Regression details are stored in a copy of input points.
| 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 |