Geographically weighted regression

Описание

<put algortithm description here>

Parameters

Points [vector: point]
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Dependent Variable [tablefield: any]
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Predictor [tablefield: any]
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Target Grids [selection]

<put parameter description here>

Options:

  • 0 — [0] user defined

Default: 0

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: 0

Inverse Distance Offset [boolean]

<put parameter description here>

Default: True

Gaussian and Exponential Weighting Bandwidth [number]

<put parameter description here>

Default: 0.0

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: 100

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]

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Default: 10

Minimum Number of Observations [number]

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Default: 4

Output extent [extent]

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Default: 0,1,0,1

Cellsize [number]

<put parameter description here>

Default: 100.0

Outputs

Grid [raster]
<put output description here>
Quality [raster]
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Intercept [raster]
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Slope [raster]
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Console usage

processing.runalg('saga:geographicallyweightedregression', points, dependent, predictor, 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_grid, user_quality, user_intercept, user_slope)

See also