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71 lines
1.7 KiB
ReStructuredText
71 lines
1.7 KiB
ReStructuredText
UNIVERSAL KRIGING
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=================
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Description
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-----------
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Parameters
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----------
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- ``Points[Vector]``:
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- ``Attribute[TableField]``:
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- ``Create Variance Grid[Boolean]``:
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- ``Target Grid[Selection]``:
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- ``Variogram Model[Selection]``:
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- ``Block Kriging[Boolean]``:
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- ``Block Size[Number]``:
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- ``Logarithmic Transformation[Boolean]``:
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- ``Nugget[Number]``:
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- ``Sill[Number]``:
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- ``Range[Number]``:
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- ``Linear Regression[Number]``:
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- ``Exponential Regression[Number]``:
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- ``Power Function - A[Number]``:
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- ``Power Function - B[Number]``:
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- ``Grids[MultipleInput]``:
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- ``Grid Interpolation[Selection]``:
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- ``Min.Number of m_Points[Number]``:
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- ``Max. Number of m_Points[Number]``:
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- ``Maximum Search Radius (map units)[Number]``:
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- ``Grid Size[Number]``:
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- ``Fit Extent[Boolean]``:
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- ``Output extent[Extent]``:
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Outputs
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-------
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- ``Grid[Raster]``:
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- ``Variance[Raster]``:
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See also
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---------
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Console usage
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-------------
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::
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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)
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Available options for selection parameters:
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target(Target Grid)
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0 - [0] user defined
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model(Variogram Model)
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0 - [0] Spherical Model
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1 - [1] Exponential Model
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2 - [2] Gaussian Model
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3 - [3] Linear Regression
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4 - [4] Exponential Regression
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5 - [5] Power Function Regression
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interpol(Grid Interpolation)
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0 - [0] Nearest Neighbor
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1 - [1] Bilinear Interpolation
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2 - [2] Inverse Distance Interpolation
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3 - [3] Bicubic Spline Interpolation
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4 - [4] B-Spline Interpolation
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