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Grid calculus

Function

Kuvaus

<put algorithm description here>

Parameters

xmin [number]

<put parameter description here>

Default: 0.0

xmax [number]

<put parameter description here>

Default: 0.0

ymin [number]

<put parameter description here>

Default: 0.0

ymax [number]

<put parameter description here>

Default: 0.0

Formula [string]

<put parameter description here>

Default: (not set)

Tulokset

Function [raster]
<put output description here>

Console usage

processing.runalg('saga:function', xmin, xmax, ymin, ymax, formul, result)

See also

Fuzzify

Kuvaus

<put algorithm description here>

Parameters

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

<put parameter description here>

Default: 0.0

B [number]

<put parameter description here>

Default: 0.0

C [number]

<put parameter description here>

Default: 0.0

D [number]

<put parameter description here>

Default: 0.0

Membership Function Type [selection]

<put parameter description here>

Options:

  • 0 — [0] linear
  • 1 — [1] sigmoidal
  • 2 — [2] j-shaped

Default: 0

Adjust to Grid [boolean]

<put parameter description here>

Default: True

Tulokset

Fuzzified Grid [raster]
<put output description here>

Console usage

processing.runalg('saga:fuzzify', input, a, b, c, d, type, autofit, output)

See also

Fuzzy intersection (and)

Kuvaus

<put algorithm description here>

Parameters

Grids [multipleinput: rasters]
<put parameter description here>
Operator Type [selection]

<put parameter description here>

Options:

  • 0 — [0] min(a, b) (non-interactive)
  • 1 — [1] a * b
  • 2 — [2] max(0, a + b - 1)

Default: 0

Tulokset

Intersection [raster]
<put output description here>

Console usage

processing.runalg('saga:fuzzyintersectionand', grids, type, and)

See also

Fuzzy union (or)

Kuvaus

<put algorithm description here>

Parameters

Grids [multipleinput: rasters]
<put parameter description here>
Operator Type [selection]

<put parameter description here>

Options:

  • 0 — [0] max(a, b) (non-interactive)
  • 1 — [1] a + b - a * b
  • 2 — [2] min(1, a + b)

Default: 0

Tulokset

Union [raster]
<put output description here>

Console usage

processing.runalg('saga:fuzzyunionor', grids, type, or)

See also

Geometric figures

Kuvaus

Draws simple geometric figures.

Parameters

Cell Count [number]

Number of cells to use.

Default: 0

Cell Size [number]

Size of the single cell.

Default: 0

Figure [selection]

Type of the figure.

Options:

  • 0 — [0] Cone (up)
  • 1 — [1] Cone (down)
  • 2 — [2] Plane

Default: 0

Direction of Plane [Degree] [number]

Rotation factor in degrees.

Default: 0

Tulokset

Result [raster]
The resulting layer.

Console usage

processing.runalg('saga:geometricfigures', cell_count, cell_size, figure, plane, result)

See also

Gradient vector from cartesian to polar coordinates

Kuvaus

<put algorithm description here>

Parameters

X Component [raster]
<put parameter description here>
Y Component [raster]
<put parameter description here>
Polar Angle Units [selection]

<put parameter description here>

Options:

  • 0 — [0] radians
  • 1 — [1] degree

Default: 0

Polar Coordinate System [selection]

<put parameter description here>

Options:

  • 0 — [0] mathematical
  • 1 — [1] geographical
  • 2 — [2] user defined

Default: 0

User defined Zero Direction [number]

<put parameter description here>

Default: 0.0

User defined Orientation [selection]

<put parameter description here>

Options:

  • 0 — [0] clockwise
  • 1 — [1] counterclockwise

Default: 0

Tulokset

Direction [raster]
<put output description here>
Length [raster]
<put output description here>

Console usage

processing.runalg('saga:gradientvectorfromcartesiantopolarcoordinates', dx, dy, units, system, system_zero, system_orient, dir, len)

See also

Gradient vector from polar to cartesian coordinates

Kuvaus

<put algorithm description here>

Parameters

Direction [raster]
<put parameter description here>
Length [raster]
<put parameter description here>
Polar Angle Units [selection]

<put parameter description here>

Options:

  • 0 — [0] radians
  • 1 — [1] degree

Default: 0

Polar Coordinate System [selection]

<put parameter description here>

Options:

  • 0 — [0] mathematical
  • 1 — [1] geographical
  • 2 — [2] user defined

Default: 0

User defined Zero Direction [number]

<put parameter description here>

Default: 0.0

User defined Orientation [selection]

<put parameter description here>

Options:

  • 0 — [0] clockwise
  • 1 — [1] counterclockwise

Default: 0

Tulokset

X Component [raster]
<put output description here>
Y Component [raster]
<put output description here>

Console usage

processing.runalg('saga:gradientvectorfrompolartocartesiancoordinates', dir, len, units, system, system_zero, system_orient, dx, dy)

See also

Grid difference

Kuvaus

Creates a new grid layer as the result of the difference between two other grid layers.

Parameters

A [raster]
First layer.
B [raster]
Second layer.

Tulokset

Difference (A - B) [raster]
The resulting layer.

Console usage

processing.runalg('saga:griddifference', a, b, c)

See also

Grid division

Kuvaus

Creates a new grid layer as the result of the division between two other grid layers.

Parameters

Dividend [raster]
First layer.
Divisor [raster]
Second layer.

Tulokset

Quotient [raster]
The resulting layer.

Console usage

processing.runalg('saga:griddivision', a, b, c)

See also

Grid normalisation

Kuvaus

Normalises the grid values according to minimum and maximum values chosen.

Parameters

Grid [raster]
Grid to normalize.
Target Range (min) [number]

Minimum value.

Default: 0

Target Range (max) [number]

Maximum value.

Default: 1

Tulokset

Normalised Grid [raster]
The resulting layer.

Console usage

processing.runalg('saga:gridnormalisation', input, range_min, range_max, output)

See also

Grids product

Kuvaus

<put algorithm description here>

Parameters

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

Tulokset

Product [raster]
<put output description here>

Console usage

processing.runalg('saga:gridsproduct', grids, result)

See also

Grids sum

Kuvaus

Creates a new grid layer as the result of the sum of two or more grid layers.

Parameters

Grids [multipleinput: rasters]
Grid layers to sum

Tulokset

Sum [raster]
The resulting layer.

Console usage

processing.runalg('saga:gridssum', grids, result)

See also

Grid standardisation

Kuvaus

Standardises the grid layer values.

Parameters

Grid [raster]
Grid to process.
Stretch Factor [number]

stretching factor.

Default: 1.0

Tulokset

Standardised Grid [raster]
The resulting layer.

Console usage

processing.runalg('saga:gridstandardisation', input, stretch, output)

See also

Grid volume

Kuvaus

<put algorithm description here>

Parameters

Grid [raster]
<put parameter description here>
Method [selection]

<put parameter description here>

Options:

  • 0 — [0] Count Only Above Base Level
  • 1 — [1] Count Only Below Base Level
  • 2 — [2] Subtract Volumes Below Base Level
  • 3 — [3] Add Volumes Below Base Level

Default: 0

Base Level [number]

<put parameter description here>

Default: 0.0

Tulokset

Console usage

processing.runalg('saga:gridvolume', grid, method, level)

See also

Metric conversions

Kuvaus

Performs numerical conversions of the grid values.

Parameters

Grid [raster]
Grid to process.
Conversion [selection]

Conversion type.

Options:

  • 0 — [0] radians to degree
  • 1 — [1] degree to radians
  • 2 — [2] Celsius to Fahrenheit
  • 3 — [3] Fahrenheit to Celsius

Default: 0

Tulokset

Converted Grid [raster]
The resulting layer.

Console usage

processing.runalg('saga:metricconversions', grid, conversion, conv)

See also

Polynomial trend from grids

Kuvaus

<put algorithm description here>

Parameters

Dependent Variables [multipleinput: rasters]
<put parameter description here>
Independent Variable (per Grid and Cell) [multipleinput: rasters]

Optional.

<put parameter description here>

Independent Variable (per Grid) [fixedtable]
<put parameter description here>
Type of Approximated Function [selection]

<put parameter description here>

Options:

  • 0 — [0] first order polynom (linear regression)
  • 1 — [1] second order polynom
  • 2 — [2] third order polynom
  • 3 — [3] fourth order polynom
  • 4 — [4] fifth order polynom

Default: 0

Tulokset

Polynomial Coefficients [raster]
<put output description here>
Coefficient of Determination [raster]
<put output description here>

Console usage

processing.runalg('saga:polynomialtrendfromgrids', grids, y_grids, y_table, polynom, parms, quality)

See also

Random field

Kuvaus

Generates a random grid layer.

Parameters

Width (Cells) [number]

Width of the layer in cells.

Default: 100

Height (Cells) [number]

Height of the layer in cells.

Default: 100

Cellsize [number]

Cell size to use.

Default: 100.0

West [number]

West coordinate of the bottom-left corner of the grid.

Default: 0.0

South [number]

South coordinate of the bottom-left corner of the grid.

Default: 0.0

Method [selection]

Statistical method used for the calculation.

Options:

  • 0 — [0] Uniform
  • 1 — [1] Gaussian

Default: 0

Range Min [number]

Minimum cell value to use.

Default: 0.0

Range Max [number]

Maximum cell value to use.

Default: 1.0

Arithmetic Mean [number]

Mean of all the cell values to use.

Default: 0.0

Standard Deviation [number]

Standard deviation of all the cell values to use.

Default: 1.0

Tulokset

Random Field [raster]
The resulting layer.

Console usage

processing.runalg('saga:randomfield', nx, ny, cellsize, xmin, ymin, method, range_min, range_max, mean, stddev, output)

See also

Random terrain generation

Kuvaus

<put algorithm description here>

Parameters

Radius (cells) [number]

<put parameter description here>

Default: 10

Iterations [number]

<put parameter description here>

Default: 10

Target Dimensions [selection]

<put parameter description here>

Options:

  • 0 — [0] User defined

Default: 0

Grid Size [number]

<put parameter description here>

Default: 1.0

Cols [number]

<put parameter description here>

Default: 100

Rows [number]

<put parameter description here>

Default: 100

Tulokset

Grid [raster]
<put output description here>

Console usage

processing.runalg('saga:randomterraingeneration', radius, iterations, target_type, user_cell_size, user_cols, user_rows, target_grid)

See also

Raster calculator

Kuvaus

<put algorithm description here>

Parameters

Main input layer [raster]
<put parameter description here>
Additional layers [multipleinput: rasters]

Optional.

<put parameter description here>

Formula [string]

<put parameter description here>

Default: (not set)

Tulokset

Result [raster]
<put output description here>

Console usage

processing.runalg('saga:rastercalculator', grids, xgrids, formula, result)

See also