Geographically weighted regression (points/grid)

Description

<put algortithm description here>

Parameters

Predictor [raster]
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Points [vector: point]
<put parameter description here>
Dependent Variable [tablefield: any]
<put parameter description here>
Distance Weighting [selection]

<put parameter description here>

Options:

  • 0 — [0] no distance weighting
  • 1 — [1] inverse distance to a power
  • 2 — [2] exponential
  • 3 — [3] gaussian weighting

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:

  • 0 — [0] search radius (local)
  • 1 — [1] no search radius (global)

Default: 0

Search Radius [number]

<put parameter description here>

Default: 0

Search Mode [selection]

<put parameter description here>

Options:

  • 0 — [0] all directions
  • 1 — [1] quadrants

Default: 0

Number of Points [selection]

<put parameter description here>

Options:

  • 0 — [0] maximum number of observations
  • 1 — [1] all points

Default: 0

Maximum Number of Observations [number]

<put parameter description here>

Default: 10

Minimum Number of Observations [number]

<put parameter description here>

Default: 4

Outputs

Regression [raster]
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Coefficient of Determination [raster]
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Intercept [raster]
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Slope [raster]
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Residuals [vector]
<put output description here>

Console usage

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)

See also