Docs for ‘QGIS testing’. Visit http://docs.qgis.org/2.18 for QGIS 2.18 docs and translations.

Kriging

Ordinary kriging (global)

Description

<put algorithm description here>

Parameters

Points [vector: point]
<put parameter description here>
Attribute [tablefield: any]
<put parameter description here>
Create Variance Grid [boolean]

<put parameter description here>

Default: True

Target Grid [selection]

<put parameter description here>

Options:

  • 0 — [0] user defined

Default: 0

Variogram Model [selection]

<put parameter description here>

Options:

  • 0 — [0] Spherical Model
  • 1 — [1] Exponential Model
  • 2 — [2] Gaussian Model
  • 3 — [3] Linear Regression
  • 4 — [4] Exponential Regression
  • 5 — [5] Power Function Regression

Default: 0

Block Kriging [boolean]

<put parameter description here>

Default: True

Block Size [number]

<put parameter description here>

Default: 100

Logarithmic Transformation [boolean]

<put parameter description here>

Default: True

Nugget [number]

<put parameter description here>

Default: 0.0

Sill [number]

<put parameter description here>

Default: 0.0

Range [number]

<put parameter description here>

Default: 0.0

Linear Regression [number]

<put parameter description here>

Default: 1.0

Exponential Regression [number]

<put parameter description here>

Default: 0.1

Power Function - A [number]

<put parameter description here>

Default: 1.0

Power Function - B [number]

<put parameter description here>

Default: 0.5

Grid Size [number]

<put parameter description here>

Default: 1.0

Fit Extent [boolean]

<put parameter description here>

Default: True

Output extent [extent]

<put parameter description here>

Default: 0,1,0,1

Outputs

Grid [raster]
<put output description here>
Variance [raster]
<put output description here>

Console usage

processing.runalg('saga:ordinarykrigingglobal', shapes, field, bvariance, target, model, block, dblock, blog, nugget, sill, range, lin_b, exp_b, pow_a, pow_b, user_cell_size, user_fit_extent, output_extent, grid, variance)

See also

Ordinary kriging

Description

<put algorithm description here>

Parameters

Points [vector: point]
<put parameter description here>
Attribute [tablefield: any]
<put parameter description here>
Create Variance Grid [boolean]

<put parameter description here>

Default: True

Target Grid [selection]

<put parameter description here>

Options:

  • 0 — [0] user defined

Default: 0

Variogram Model [selection]

<put parameter description here>

Options:

  • 0 — [0] Spherical Model
  • 1 — [1] Exponential Model
  • 2 — [2] Gaussian Model
  • 3 — [3] Linear Regression
  • 4 — [4] Exponential Regression
  • 5 — [5] Power Function Regression

Default: 0

Block Kriging [boolean]

<put parameter description here>

Default: True

Block Size [number]

<put parameter description here>

Default: 100

Logarithmic Transformation [boolean]

<put parameter description here>

Default: True

Nugget [number]

<put parameter description here>

Default: 0.0

Sill [number]

<put parameter description here>

Default: 10.0

Range [number]

<put parameter description here>

Default: 100.0

Linear Regression [number]

<put parameter description here>

Default: 1.0

Exponential Regression [number]

<put parameter description here>

Default: 0.1

Power Function - A [number]

<put parameter description here>

Default: 1

Power Function - B [number]

<put parameter description here>

Default: 0.5

Maximum Search Radius (map units) [number]

<put parameter description here>

Default: 1000.0

Min.Number of m_Points [number]

<put parameter description here>

Default: 4

Max. Number of m_Points [number]

<put parameter description here>

Default: 20

Grid Size [number]

<put parameter description here>

Default: 1.0

Fit Extent [boolean]

<put parameter description here>

Default: True

Output extent [extent]

<put parameter description here>

Default: 0,1,0,1

Outputs

Grid [raster]
<put output description here>
Variance [raster]
<put output description here>

Console usage

processing.runalg('saga:ordinarykriging', shapes, field, bvariance, target, model, block, dblock, blog, nugget, sill, range, lin_b, exp_b, pow_a, pow_b, maxradius, npoints_min, npoints_max, user_cell_size, user_fit_extent, output_extent, grid, variance)

See also

Universal kriging (global)

Description

<put algorithm description here>

Parameters

Points [vector: point]
<put parameter description here>
Attribute [tablefield: any]
<put parameter description here>
Create Variance Grid [boolean]

<put parameter description here>

Default: True

Target Grid [selection]

<put parameter description here>

Options:

  • 0 — [0] user defined

Default: 0

Variogram Model [selection]

<put parameter description here>

Options:

  • 0 — [0] Spherical Model
  • 1 — [1] Exponential Model
  • 2 — [2] Gaussian Model
  • 3 — [3] Linear Regression
  • 4 — [4] Exponential Regression
  • 5 — [5] Power Function Regression

Default: 0

Block Kriging [boolean]

<put parameter description here>

Default: True

Block Size [number]

<put parameter description here>

Default: 100

Logarithmic Transformation [boolean]

<put parameter description here>

Default: True

Nugget [number]

<put parameter description here>

Default: 0.0

Sill [number]

<put parameter description here>

Default: 0.0

Range [number]

<put parameter description here>

Default: 0.0

Linear Regression [number]

<put parameter description here>

Default: 1

Exponential Regression [number]

<put parameter description here>

Default: 0.5

Power Function - A [number]

<put parameter description here>

Default: 1.0

Power Function - B [number]

<put parameter description here>

Default: 0.1

Grids [multipleinput: rasters]
<put parameter description here>
Grid 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

Grid Size [number]

<put parameter description here>

Default: 1.0

Fit Extent [boolean]

<put parameter description here>

Default: True

Output extent [extent]

<put parameter description here>

Default: 0,1,0,1

Outputs

Grid [raster]
<put output description here>
Variance [raster]
<put output description here>

Console usage

processing.runalg('saga:universalkrigingglobal', shapes, field, bvariance, target, model, block, dblock, blog, nugget, sill, range, lin_b, exp_b, pow_a, pow_b, grids, interpol, user_cell_size, user_fit_extent, output_extent, grid, variance)

See also

Universal kriging

Description

<put algorithm description here>

Parameters

Points [vector: point]
<put parameter description here>
Attribute [tablefield: any]
<put parameter description here>
Create Variance Grid [boolean]

<put parameter description here>

Default: True

Target Grid [selection]

<put parameter description here>

Options:

  • 0 — [0] user defined

Default: 0

Variogram Model [selection]

<put parameter description here>

Options:

  • 0 — [0] Spherical Model
  • 1 — [1] Exponential Model
  • 2 — [2] Gaussian Model
  • 3 — [3] Linear Regression
  • 4 — [4] Exponential Regression
  • 5 — [5] Power Function Regression

Default: 0

Block Kriging [boolean]

<put parameter description here>

Default: True

Block Size [number]

<put parameter description here>

Default: 100

Logarithmic Transformation [boolean]

<put parameter description here>

Default: True

Nugget [number]

<put parameter description here>

Default: 0.0

Sill [number]

<put parameter description here>

Default: 0.0

Range [number]

<put parameter description here>

Default: 0.0

Linear Regression [number]

<put parameter description here>

Default: 1.0

Exponential Regression [number]

<put parameter description here>

Default: 0.1

Power Function - A [number]

<put parameter description here>

Default: 1

Power Function - B [number]

<put parameter description here>

Default: 0.5

Grids [multipleinput: rasters]
<put parameter description here>
Grid 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

Min.Number of m_Points [number]

<put parameter description here>

Default: 4

Max. Number of m_Points [number]

<put parameter description here>

Default: 20

Maximum Search Radius (map units) [number]

<put parameter description here>

Default: 1000.0

Grid Size [number]

<put parameter description here>

Default: 1.0

Fit Extent [boolean]

<put parameter description here>

Default: True

Output extent [extent]

<put parameter description here>

Default: 0,1,0,1

Outputs

Grid [raster]
<put output description here>
Variance [raster]
<put output description here>

Console usage

processing.runalg('saga:universalkriging', shapes, field, bvariance, target, model, block, dblock, blog, nugget, sill, range, lin_b, exp_b, pow_a, pow_b, grids, interpol, npoints_min, npoints_max, maxradius, user_cell_size, user_fit_extent, output_extent, grid, variance)

See also