GWR for Multiple Predictor Grids
statistics_regression
ParameterMultipleInput|PREDICTORS|Predictors|3.0|False
ParameterVector|POINTS|Points|0|False
ParameterTableField|DEPENDENT|Dependent Variable|POINTS|-1|False
ParameterSelection|RESOLUTION|Model Resolution|[0] same as predictors;[1] user defined|1
ParameterNumber|RESOLUTION_VAL|Resolution|0|None|1
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|True
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|SEARCH_RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|SEARCH_RADIUS|Search Radius|None|None|100
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance
ParameterNumber|SEARCH_POINTS_MIN|Minimum|1|None|4
ParameterNumber|SEARCH_POINTS_MAX|Maximum|1|None|20
ParameterSelection|SEARCH_DIRECTION|Search Direction|[0] all directions;[1] quadrants
OutputRaster|REGRESSION|Regression
OutputRaster|QUALITY|Coefficient of Determination
OutputVector|RESIDUALS|Residuals
