.
Inverse distance grid interpolation from irregular distributed points.
Points
[vector: point]Attribute
[tablefield: any]Target Grid
[selection]<put parameter description here>
Options:
Default: 0
Distance Weighting
[selection]<put parameter description here>
Options:
Default: 0
Inverse Distance Power
[number]<put parameter description here>
Default: 2
Exponential and Gaussian Weighting Bandwidth
[number]<put parameter description here>
Default: 1
Search Range
[selection]<put parameter description here>
Options:
Default: 0
Search Radius
[number]<put parameter description here>
Default: 100.0
Search Mode
[selection]<put parameter description here>
Options:
Default: 0
Number of Points
[selection]<put parameter description here>
Options:
Default: 0
Maximum Number of Points
[number]<put parameter description here>
Default: 10
Output extent
[extent]<put parameter description here>
Default: 0,1,0,1
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:inversedistanceweighted', shapes, field, target, weighting, power, bandwidth, range, radius, mode, points, npoints, output_extent, user_size, user_grid)
<put algorithm description here>
Points
[vector: point]Weight
[tablefield: any]Radius
[number]<put parameter description here>
Default: 10
Kernel
[selection]<put parameter description here>
Options:
Default: 0
Target Grid
[selection]<put parameter description here>
Options:
Default: 0
Output extent
[extent]<put parameter description here>
Default: 0,1,0,1
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:kerneldensityestimation', points, population, radius, kernel, target, output_extent, user_size, user_grid)
<put algorithm description here>
Points
[vector: point]Attribute
[tablefield: any]Target Grid
[selection]<put parameter description here>
Options:
Default: 0
Quadratic Neighbors
[number]<put parameter description here>
Default: 13
Weighting Neighbors
[number]<put parameter description here>
Default: 19
Left
[number]<put parameter description here>
Default: 0.0
Right
[number]<put parameter description here>
Default: 0.0
Bottom
[number]<put parameter description here>
Default: 0.0
Top
[number]<put parameter description here>
Default: 0.0
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:modifedquadraticshepard', shapes, field, target, quadratic_neighbors, weighting_neighbors, user_xmin, user_xmax, user_ymin, user_ymax, user_size, user_grid)
<put algorithm description here>
Points
[vector: point]Attribute
[tablefield: any]Target Grid
[selection]<put parameter description here>
Options:
Default: 0
Sibson
[boolean]<put parameter description here>
Default: True
Output extent
[extent]<put parameter description here>
Default: 0,1,0,1
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:naturalneighbour', shapes, field, target, sibson, output_extent, user_size, user_grid)
<put algorithm description here>
Points
[vector: point]Attribute
[tablefield: any]Target Grid
[selection]<put parameter description here>
Options:
Default: 0
Output extent
[extent]<put parameter description here>
Default: 0,1,0,1
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:nearestneighbour', shapes, field, target, output_extent, user_size, user_grid)
<put algorithm description here>
Shapes
[vector: any]Attribute
[tablefield: any]Method for Multiple Values
[selection]<put parameter description here>
Options:
Default: 0
Method for Lines
[selection]<put parameter description here>
Options:
Default: 0
Preferred Target Grid Type
[selection]<put parameter description here>
Options:
Default: 0
Output extent
[extent]<put parameter description here>
Default: 0,1,0,1
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:shapestogrid', input, field, multiple, line_type, grid_type, output_extent, user_size, user_grid)
<put algorithm description here>
Points
[vector: point]Attribute
[tablefield: any]Target Grid
[selection]<put parameter description here>
Options:
Default: 0
Output extent
[extent]<put parameter description here>
Default: 0,1,0,1
Cellsize
[number]<put parameter description here>
Default: 100.0
Grid
[raster]processing.runalg('saga:triangulation', shapes, field, target, output_extent, user_size, user_grid)