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GEOGRAPHICALLY WEIGHTED MULTIPLE REGRESSION
===========================================
Description
-----------
Parameters
----------
- ``Points[Vector]``:
- ``Dependent Variable[TableField]``:
- ``Target Grids[Selection]``:
- ``Distance Weighting[Selection]``:
- ``Inverse Distance Weighting Power[Number]``:
- ``Inverse Distance Offset[Boolean]``:
- ``Gaussian and Exponential Weighting Bandwidth[Number]``:
- ``Search Range[Selection]``:
- ``Search Radius[Number]``:
- ``Search Mode[Selection]``:
- ``Number of Points[Selection]``:
- ``Maximum Number of Observations[Number]``:
- ``Minimum Number of Observations[Number]``:
- ``Output extent[Extent]``:
- ``Cellsize[Number]``:
Outputs
-------
- ``Quality[Raster]``:
- ``Intercept[Raster]``:
- ``Quality[Raster]``:
- ``Intercept[Raster]``:
See also
---------
Console usage
-------------
::
processing.runalg('saga:geographicallyweightedmultipleregression', points, dependent, target, distance_weighting_weighting, distance_weighting_idw_power, distance_weighting_idw_offset, distance_weighting_bandwidth, range, radius, mode, npoints, maxpoints, minpoints, output_extent, user_size, user_quality, user_intercept, grid_quality, grid_intercept)
Available options for selection parameters:
target(Target Grids)
0 - [0] user defined
distance_weighting_weighting(Distance Weighting)
0 - [0] no distance weighting
1 - [1] inverse distance to a power
2 - [2] exponential
3 - [3] gaussian weighting
range(Search Range)
0 - [0] search radius (local)
1 - [1] no search radius (global)
mode(Search Mode)
0 - [0] all directions
1 - [1] quadrants
npoints(Number of Points)
0 - [0] maximum number of observations
1 - [1] all points
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