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Shapes grid

Add grid values to points

Kuvaus

Creates a new vector layer as a result of the union of a points layer with the interpolated value of one or more base background grid layer(s). This way, the new layer created will have a new column in the attribute table that reflects the interpolated value of the background grid.

Parameters

Points [vector: point]
Input layer.
Grids [multipleinput: rasters]
Background grid layer(s)
Interpolation [selection]

interpolation method to use.

Options:

  • 0 — [0] Nearest Neighbor
  • 1 — [1] Bilinear Interpolation
  • 2 — [2] Inverse Distance Interpolation
  • 3 — [3] Bicubic Spline Interpolation
  • 4 — [4] B-Spline Interpolation

Default: 0

Tulokset

Result [vector]
The resulting layer.

Console usage

processing.runalg('saga:addgridvaluestopoints', shapes, grids, interpol, result)

See also

Add grid values to shapes

Kuvaus

<put algorithm description here>

Parameters

Shapes [vector: any]
<put parameter description here>
Grids [multipleinput: rasters]
<put parameter description here>
Interpolation [selection]

<put parameter description here>

Options:

  • 0 — [0] Nearest Neighbor
  • 1 — [1] Bilinear Interpolation
  • 2 — [2] Inverse Distance Interpolation
  • 3 — [3] Bicubic Spline Interpolation
  • 4 — [4] B-Spline Interpolation

Default: 0

Tulokset

Result [vector]
<put output description here>

Console usage

processing.runalg('saga:addgridvaluestoshapes', shapes, grids, interpol, result)

See also

Clip grid with polygon

Kuvaus

<put algorithm description here>

Parameters

Input [raster]
<put parameter description here>
Polygons [vector: polygon]
<put parameter description here>

Tulokset

Output [raster]
<put output description here>

Console usage

processing.runalg('saga:clipgridwithpolygon', input, polygons, output)

See also

Contour lines from grid

Kuvaus

<put algorithm description here>

Parameters

Grid [raster]
<put parameter description here>
Minimum Contour Value [number]

<put parameter description here>

Default: 0.0

Maximum Contour Value [number]

<put parameter description here>

Default: 10000.0

Equidistance [number]

<put parameter description here>

Default: 100.0

Tulokset

Contour Lines [vector]
<put output description here>

Console usage

processing.runalg('saga:contourlinesfromgrid', input, zmin, zmax, zstep, contour)

See also

Gradient vectors from directional components

Kuvaus

<put algorithm description here>

Parameters

X Component [raster]
<put parameter description here>
Y Component [raster]
<put parameter description here>
Step [number]

<put parameter description here>

Default: 1

Size Range Min [number]

<put parameter description here>

Default: 25.0

Size Range Max [number]

<put parameter description here>

Default: 100.0

Aggregation [selection]

<put parameter description here>

Options:

  • 0 — [0] nearest neighbour
  • 1 — [1] mean value

Default: 0

Style [selection]

<put parameter description here>

Options:

  • 0 — [0] simple line
  • 1 — [1] arrow
  • 2 — [2] arrow (centered to cell)

Default: 0

Tulokset

Gradient Vectors [vector]
<put output description here>

Console usage

processing.runalg('saga:gradientvectorsfromdirectionalcomponents', x, y, step, size_min, size_max, aggr, style, vectors)

See also

Gradient vectors from direction and length

Kuvaus

<put algorithm description here>

Parameters

Direction [raster]
<put parameter description here>
Length [raster]
<put parameter description here>
Step [number]

<put parameter description here>

Default: 1

Size Range Min [number]

<put parameter description here>

Default: 25.0

Size Range Max [number]

<put parameter description here>

Default: 100.0

Aggregation [selection]

<put parameter description here>

Options:

  • 0 — [0] nearest neighbour
  • 1 — [1] mean value

Default: 0

Style [selection]

<put parameter description here>

Options:

  • 0 — [0] simple line
  • 1 — [1] arrow
  • 2 — [2] arrow (centered to cell)

Default: 0

Tulokset

Gradient Vectors [vector]
<put output description here>

Console usage

processing.runalg('saga:gradientvectorsfromdirectionandlength', dir, len, step, size_min, size_max, aggr, style, vectors)

See also

Gradient vectors from surface

Kuvaus

<put algorithm description here>

Parameters

Surface [raster]
<put parameter description here>
Step [number]

<put parameter description here>

Default: 1

Size Range Min [number]

<put parameter description here>

Default: 25.0

Size Range Max [number]

<put parameter description here>

Default: 100.0

Aggregation [selection]

<put parameter description here>

Options:

  • 0 — [0] nearest neighbour
  • 1 — [1] mean value

Default: 0

Style [selection]

<put parameter description here>

Options:

  • 0 — [0] simple line
  • 1 — [1] arrow
  • 2 — [2] arrow (centered to cell)

Default: 0

Tulokset

Gradient Vectors [vector]
<put output description here>

Console usage

processing.runalg('saga:gradientvectorsfromsurface', surface, step, size_min, size_max, aggr, style, vectors)

See also

Grid statistics for polygons

Kuvaus

<put algorithm description here>

Parameters

Grids [multipleinput: rasters]
<put parameter description here>
Polygons [vector: polygon]
<put parameter description here>
Number of Cells [boolean]

<put parameter description here>

Default: True

Minimum [boolean]

<put parameter description here>

Default: True

Maximum [boolean]

<put parameter description here>

Default: True

Range [boolean]

<put parameter description here>

Default: True

Sum [boolean]

<put parameter description here>

Default: True

Mean [boolean]

<put parameter description here>

Default: True

Variance [boolean]

<put parameter description here>

Default: True

Standard Deviation [boolean]

<put parameter description here>

Default: True

Quantiles [number]

<put parameter description here>

Default: 0

Tulokset

Statistics [vector]
<put output description here>

Console usage

processing.runalg('saga:gridstatisticsforpolygons', grids, polygons, count, min, max, range, sum, mean, var, stddev, quantile, result)

See also

Grid values to points (randomly)

Kuvaus

<put algorithm description here>

Parameters

Grid [raster]
<put parameter description here>
Frequency [number]

<put parameter description here>

Default: 100

Tulokset

Points [vector]
<put output description here>

Console usage

processing.runalg('saga:gridvaluestopointsrandomly', grid, freq, points)

See also

Grid values to points

Kuvaus

<put algorithm description here>

Parameters

Grids [multipleinput: rasters]
<put parameter description here>
Polygons [vector: any]

Optional.

<put parameter description here>

Exclude NoData Cells [boolean]

<put parameter description here>

Default: True

Type [selection]

<put parameter description here>

Options:

  • 0 — [0] nodes
  • 1 — [1] cells

Default: 0

Tulokset

Shapes [vector]
<put output description here>

Console usage

processing.runalg('saga:gridvaluestopoints', grids, polygons, nodata, type, shapes)

See also

Local minima and maxima

Kuvaus

<put algorithm description here>

Parameters

Grid [raster]
<put parameter description here>

Tulokset

Minima [vector]
<put output description here>
Maxima [vector]
<put output description here>

Console usage

processing.runalg('saga:localminimaandmaxima', grid, minima, maxima)

See also

Vectorising grid classes

Kuvaus

<put algorithm description here>

Parameters

Grid [raster]
<put parameter description here>
Class Selection [selection]

<put parameter description here>

Options:

  • 0 — [0] one single class specified by class identifier
  • 1 — [1] all classes

Default: 0

Class Identifier [number]

<put parameter description here>

Default: 0

Vectorised class as... [selection]

<put parameter description here>

Options:

  • 0 — [0] one single (multi-)polygon object
  • 1 — [1] each island as separated polygon

Default: 0

Tulokset

Polygons [vector]
<put output description here>

Console usage

processing.runalg('saga:vectorisinggridclasses', grid, class_all, class_id, split, polygons)

See also