` `
<put algorithm description here>
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: (not set)
processing.runalg('saga:function', xmin, xmax, ymin, ymax, formul, result)
<put algorithm description here>
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: 0.0
<put parameter description here>
Default: 0.0
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Default: True
processing.runalg('saga:fuzzify', input, a, b, c, d, type, autofit, output)
<put algorithm description here>
<put parameter description here>
Options:
Default: 0
processing.runalg('saga:fuzzyintersectionand', grids, type, and)
<put algorithm description here>
<put parameter description here>
Options:
Default: 0
processing.runalg('saga:fuzzyunionor', grids, type, or)
Draws simple geometric figures.
Number of cells to use.
Default: 0
Size of the single cell.
Default: 0
Type of the figure.
Options:
Default: 0
Rotation factor in degrees.
Default: 0
sonuç katmanı.
processing.runalg('saga:geometricfigures', cell_count, cell_size, figure, plane, result)
<put algorithm description here>
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Default: 0.0
<put parameter description here>
Options:
Default: 0
processing.runalg('saga:gradientvectorfromcartesiantopolarcoordinates', dx, dy, units, system, system_zero, system_orient, dir, len)
<put algorithm description here>
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Default: 0.0
<put parameter description here>
Options:
Default: 0
processing.runalg('saga:gradientvectorfrompolartocartesiancoordinates', dir, len, units, system, system_zero, system_orient, dx, dy)
Creates a new grid layer as the result of the difference between two other grid layers.
sonuç katmanı.
processing.runalg('saga:griddifference', a, b, c)
Creates a new grid layer as the result of the division between two other grid layers.
sonuç katmanı.
processing.runalg('saga:griddivision', a, b, c)
Normalises the grid values according to minimum and maximum values chosen.
Minimum value.
Default: 0
Maximum value.
Default: 1
sonuç katmanı.
processing.runalg('saga:gridnormalisation', input, range_min, range_max, output)
<put algorithm description here>
processing.runalg('saga:gridsproduct', grids, result)
Creates a new grid layer as the result of the sum of two or more grid layers.
sonuç katmanı.
processing.runalg('saga:gridssum', grids, result)
Standardises the grid layer values.
stretching factor.
Default: 1.0
sonuç katmanı.
processing.runalg('saga:gridstandardisation', input, stretch, output)
<put algorithm description here>
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Default: 0.0
processing.runalg('saga:gridvolume', grid, method, level)
Performs numerical conversions of the grid values.
Conversion type.
Options:
Default: 0
sonuç katmanı.
processing.runalg('saga:metricconversions', grid, conversion, conv)
<put algorithm description here>
Optional.
<put parameter description here>
<put parameter description here>
Options:
Default: 0
processing.runalg('saga:polynomialtrendfromgrids', grids, y_grids, y_table, polynom, parms, quality)
Generates a random grid layer.
Width of the layer in cells.
Default: 100
Height of the layer in cells.
Default: 100
Cell size to use.
Default: 100.0
West coordinate of the bottom-left corner of the grid.
Default: 0.0
South coordinate of the bottom-left corner of the grid.
Default: 0.0
Statistical method used for the calculation.
Options:
Default: 0
Minimum cell value to use.
Default: 0.0
Maximum cell value to use.
Default: 1.0
Mean of all the cell values to use.
Default: 0.0
Standard deviation of all the cell values to use.
Default: 1.0
sonuç katmanı.
processing.runalg('saga:randomfield', nx, ny, cellsize, xmin, ymin, method, range_min, range_max, mean, stddev, output)
<put algorithm description here>
<put parameter description here>
Default: 10
<put parameter description here>
Default: 10
<put parameter description here>
Options:
Default: 0
<put parameter description here>
Default: 1.0
<put parameter description here>
Default: 100
<put parameter description here>
Default: 100
processing.runalg('saga:randomterraingeneration', radius, iterations, target_type, user_cell_size, user_cols, user_rows, target_grid)
<put algorithm description here>
Optional.
<put parameter description here>
<put parameter description here>
Default: (not set)
processing.runalg('saga:rastercalculator', grids, xgrids, formula, result)