Geographically Weighted Regression for a single predictor supplied as grid, to which the regression model is applied. Further details can be stored optionally.
Reference:
| Name | Type | Identifier | Description | Constraints |
Input | Points | Shapes (input) | POINTS | - | - |
Predictor | Grid (input) | PREDICTOR | - | - |
Output | Residuals (*) | Shapes (optional output) | RESIDUALS | - | - |
Regression | Grid (output) | REGRESSION | - | - |
Coefficient of Determination (*) | Grid (optional output) | QUALITY | - | - |
Intercept (*) | Grid (optional output) | INTERCEPT | - | - |
Slope (*) | Grid (optional output) | SLOPE | - | - |
Options | Dependent Variable | Table field | DEPENDENT | - | - |
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 |
(*) optional |