| Tool Name | GWR for Multiple Predictors (Shapes) |
| Tool ID | 7 |
| Library ID | statistics_regression |
| Version | 1.0 |
| Author(s) | O.Conrad (c) 2010 |
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
| Name | Type | Identifier | Description | Constraints |
|---|---|---|---|---|
| Input | ||||
| Shapes | 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: 3 | |
| Power | floating point number | DW_IDW_POWER | Minimum: 0.000000 Default: 2.000000 | |
| Bandwidth | floating point number | 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 number | 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 number | SEARCH_POINTS_MIN | minimum number of points to use | Minimum: 1 Default: 16 |
| Maximum | integer number | SEARCH_POINTS_MAX | maximum number of nearest points | Minimum: 1 Default: 20 |