Inverse distance weighted¶

Description¶

Inverse distance grid interpolation from irregular distributed points.

Parameters¶

Points [vector: point]

<put parameter description here>

Attribute [tablefield: any]

<put parameter description here>

Target Grid [selection]

<put parameter description here>

Options:

• 0 — [0] user defined

Default: 0

Distance Weighting [selection]

<put parameter description here>

Options:

• 0 — [0] inverse distance to a power
• 1 — [1] linearly decreasing within search radius
• 2 — [2] exponential weighting scheme
• 3 — [3] gaussian weighting scheme

Default: 0

Inverse Distance Power [number]

<put parameter description here>

Default: 2

Exponential and Gaussian Weighting Bandwidth [number]

<put parameter description here>

Default: 1

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: 100.0

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 points
• 1 — [1] all points

Default: 0

Maximum Number of Points [number]

<put parameter description here>

Default: 10

Output extent [extent]

<put parameter description here>

Default: 0,1,0,1

Cellsize [number]

<put parameter description here>

Default: 100.0

Outputs¶

Grid [raster]

<put output description here>

Console usage¶

processing.runalg('saga:inversedistanceweighted', shapes, field, target, weighting, power, bandwidth, range, radius, mode, points, npoints, output_extent, user_size, user_grid)

See also¶