GWR for Grid Downscaling
- Author: O.Conrad (c) 2013
- Menu: Spatial and Geostatistics | Geographically Weighted Regression
Description
Geographically Weighted Regression for grid downscaling.
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.
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Predictors | grid list, input | PREDICTORS | - | - |
| Dependent Variable | grid, input | DEPENDENT | - | - |
| Output | Regression | grid, output | REGRESSION | - | - |
| Regression with Residual Correction | grid, output, optional | REG_RESCORR | - | - |
| Coefficient of Determination | grid, output | QUALITY | - | - |
| Residuals | grid, output | RESIDUALS | - | - |
| Regression Parameters | grid list, output, optional | MODEL | - | - |
| Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Grid System | grid system | GRID_SYSTEM | - | - |
| Logistic Regression | boolean | LOGISTIC | - | Default: 0 |
| Output of Model Parameters | boolean | MODEL_OUT | - | Default: 0 |
| Search Range | choice | SEARCH_RANGE | - | Available Choices:
[0] local
[1] global
Default: 0 |
| Search Distance [Cells] | integer number | SEARCH_RADIUS | - | Minimum: 1
Default: 10 |
| 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: 7.000000 |
Command Line
Usage: saga_cmd statistics_regression 14 [-PREDICTORS ] [-REGRESSION ] [-REG_RESCORR ] [-DEPENDENT ] [-QUALITY ] [-RESIDUALS ] [-MODEL ] [-LOGISTIC ] [-MODEL_OUT ] [-SEARCH_RANGE ] [-SEARCH_RADIUS ] [-DW_WEIGHTING ] [-DW_IDW_POWER ] [-DW_BANDWIDTH ]
-PREDICTORS: Predictors
grid list, input
-REGRESSION: Regression
grid, output
-REG_RESCORR: Regression with Residual Correction
grid, output, optional
-DEPENDENT: Dependent Variable
grid, input
-QUALITY: Coefficient of Determination
grid, output
-RESIDUALS: Residuals
grid, output
-MODEL: Regression Parameters
grid list, output, optional
-LOGISTIC: Logistic Regression
boolean
Default: 0
-MODEL_OUT: Output of Model Parameters
boolean
Default: 0
-SEARCH_RANGE: Search Range
choice
Available Choices:
[0] local
[1] global
Default: 0
-SEARCH_RADIUS: Search Distance [Cells]
integer number
Minimum: 1
Default: 10
-DW_WEIGHTING: Weighting Function
choice
Available Choices:
[0] no distance weighting
[1] inverse distance to a power
[2] exponential
[3] gaussian
Default: 3
-DW_IDW_POWER: Power
floating point number
Minimum: 0.000000
Default: 2.000000
-DW_BANDWIDTH: Bandwidth
floating point number
Minimum: 0.000000
Default: 7.000000