<put algortithm description here>
Predictor
[raster]Points
[vector: point]Dependent Variable
[tablefield: any]Distance Weighting
[selection]<put parameter description here>
Options:
Default: 0
Inverse Distance Weighting Power
[number]<put parameter description here>
Default: 1
Inverse Distance Offset
[boolean]<put parameter description here>
Default: True
Gaussian and Exponential Weighting Bandwidth
[number]<put parameter description here>
Default: 1.0
Search Range
[selection]<put parameter description here>
Options:
Default: 0
Search Radius
[number]<put parameter description here>
Default: 0
Search Mode
[selection]<put parameter description here>
Options:
Default: 0
Number of Points
[selection]<put parameter description here>
Options:
Default: 0
Maximum Number of Observations
[number]<put parameter description here>
Default: 10
Minimum Number of Observations
[number]<put parameter description here>
Default: 4
Regression
[raster]Coefficient of Determination
[raster]Intercept
[raster]Slope
[raster]Residuals
[vector]processing.runalg('saga:geographicallyweightedregressionpointsgrid', predictor, points, dependent, distance_weighting_weighting, distance_weighting_idw_power, distance_weighting_idw_offset, distance_weighting_bandwidth, range, radius, mode, npoints, maxpoints, minpoints, regression, quality, intercept, slope, residuals)