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Merge pull request #2098 from NaturalGIS/fix_several_modules 
[processing] fix several SAGA and GRASS modules
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@alexbruy
alexbruy committed Jun 1, 2015
2 parents ded11b3 + 43cf6b0 commit 454e1fef09b267047f771210c2a43c219b030105
Unified Split
Showing with 231 additions and 208 deletions.
  1. +1 −1 python/plugins/processing/algs/grass7/description/r.plane.txt
  2. +5 −3 python/plugins/processing/algs/saga/description/2.1.3/B-SplineApproximation.txt
  3. +8 −6 python/plugins/processing/algs/saga/description/2.1.3/CubicSplineApproximation.txt
  4. +2 −3 python/plugins/processing/algs/saga/description/2.1.3/CutShapesLayer.txt
  5. +13 −12 ...ugins/processing/algs/saga/description/2.1.3/GeographicallyWeightedMultipleRegression(Points).txt
  6. +13 −13 .../processing/algs/saga/description/2.1.3/GeographicallyWeightedMultipleRegression(PointsGrids).txt
  7. +19 −16 python/plugins/processing/algs/saga/description/2.1.3/GeographicallyWeightedMultipleRegression.txt
  8. +11 −11 ...n/plugins/processing/algs/saga/description/2.1.3/GeographicallyWeightedRegression(PointsGrid).txt
  9. +18 −16 python/plugins/processing/algs/saga/description/2.1.3/GeographicallyWeightedRegression.txt
  10. +2 −2 python/plugins/processing/algs/saga/description/2.1.3/InverseDistanceWeighted.txt
  11. +3 −2 python/plugins/processing/algs/saga/description/2.1.3/KernelDensityEstimation.txt
  12. +7 −8 python/plugins/processing/algs/saga/description/2.1.3/ModifedQuadraticShepard.txt
  13. +4 −3 python/plugins/processing/algs/saga/description/2.1.3/Mosaicking.txt
  14. +6 −3 python/plugins/processing/algs/saga/description/2.1.3/MultilevelB-SplineInterpolation(fromGrid).txt
  15. +4 −4 python/plugins/processing/algs/saga/description/2.1.3/MultilevelB-SplineInterpolation.txt
  16. +5 −3 python/plugins/processing/algs/saga/description/2.1.3/NaturalNeighbour.txt
  17. +4 −2 python/plugins/processing/algs/saga/description/2.1.3/NearestNeighbour.txt
  18. +16 −19 python/plugins/processing/algs/saga/description/2.1.3/OrdinaryKriging(Global).txt
  19. +7 −7 python/plugins/processing/algs/saga/description/2.1.3/OrdinaryKriging.txt
  20. +9 −7 python/plugins/processing/algs/saga/description/2.1.3/PolynomialRegression.txt
  21. +4 −4 python/plugins/processing/algs/saga/description/2.1.3/RandomField.txt
  22. +5 −3 python/plugins/processing/algs/saga/description/2.1.3/Resampling.txt
  23. +5 −5 python/plugins/processing/algs/saga/description/2.1.3/ShapestoGrid.txt
  24. +4 −3 python/plugins/processing/algs/saga/description/2.1.3/ThinPlateSpline(Global).txt
  25. +5 −4 python/plugins/processing/algs/saga/description/2.1.3/ThinPlateSpline(Local).txt
  26. +5 −4 python/plugins/processing/algs/saga/description/2.1.3/ThinPlateSpline(TIN).txt
  27. +4 −2 python/plugins/processing/algs/saga/description/2.1.3/Triangulation.txt
  28. +18 −20 python/plugins/processing/algs/saga/description/2.1.3/UniversalKriging(Global).txt
  29. +24 −22 python/plugins/processing/algs/saga/description/2.1.3/UniversalKriging.txt
2 python/plugins/processing/algs/grass7/description/r.plane.txt
View file
@@ -6,5 +6,5 @@ ParameterNumber|azimuth|Azimuth of the plane. Value must be between 0 and 360 de
ParameterNumber|easting|Easting coordinate of a point on the plane|None|None|0.0
ParameterNumber|northing|Northing coordinate of a point on the plane|None|None|0.0
ParameterNumber|elevation|Elevation coordinate of a point on the plane|None|None|0.0
ParameterSelection|type|Data type of resulting layer|int;float;double
ParameterSelection|type|Data type of resulting layer|CELL;FCELL;DCELL
OutputRaster|output|Plane
8 python/plugins/processing/algs/saga/description/2.1.3/B-SplineApproximation.txt
View file
@@ -3,7 +3,9 @@ grid_spline
ParameterVector|SHAPES|Points|0|False
ParameterTableField|FIELD|Attribute|SHAPES|-1|False
Hardcoded|-TARGET_DEFINITION 0
ParameterNumber|LEVEL|Resolution|None|None|1.0
ParameterNumber|LEVEL|Resolution|0.001|None|1.0
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|USER_SIZE|Cellsize|None|None|100.0
OutputRaster|USER_GRID|Grid
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
14 python/plugins/processing/algs/saga/description/2.1.3/CubicSplineApproximation.txt
View file
@@ -3,10 +3,12 @@ grid_spline
ParameterVector|SHAPES|Points|0|False
ParameterTableField|FIELD|Attribute|SHAPES|-1|False
Hardcoded|-TARGET_DEFINITION 0
ParameterNumber|NPMIN|Minimal Number of Points|None|None|3
ParameterNumber|NPMAX|Maximal Number of Points|None|None|20
ParameterNumber|NPPC|Points per Square|None|None|5
ParameterNumber|K|Tolerance|None|None|140.0
ParameterNumber|NPMIN|Minimal Number of Points|0|None|3
ParameterNumber|NPMAX|Maximal Number of Points|11|59|20
ParameterNumber|NPPC|Points per Square|1|None|5
ParameterNumber|K|Tolerance|0|None|140.0
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|USER_SIZE|Cellsize|None|None|100.0
OutputRaster|USER_GRID|Grid
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
5 python/plugins/processing/algs/saga/description/2.1.3/CutShapesLayer.txt
View file
@@ -3,6 +3,5 @@ shapes_tools
ParameterVector|SHAPES|Vector layer to cut|-1|False
ParameterSelection|METHOD|Method|[0] completely contained;[1] intersects;[2] center
Hardcoded|-TARGET 3
ParameterVector|POLYGONS_POLYGONS|Cutting polygons|-1|False
OutputVector|CUT|Result
OutputVector|EXTENT|Extent
ParameterVector|POLYGONS_POLYGONS|Cutting polygons|2|False
OutputVector|CUT|Result
25 ...ocessing/algs/saga/description/2.1.3/GeographicallyWeightedMultipleRegression(Points).txt
View file
@@ -1,15 +1,16 @@
Geographically Weighted Multiple Regression (Points)
GWR for Multiple Predictors
statistics_regression
ParameterVector|POINTS|Points|-1|False
ParameterTableField|DEPENDENT|Dependent Variable|POINTS|-1|False
ParameterSelection|DISTANCE_WEIGHTING_WEIGHTING|Distance Weighting|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DISTANCE_WEIGHTING_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DISTANCE_WEIGHTING_IDW_OFFSET |Inverse Distance Offset|True
ParameterNumber|DISTANCE_WEIGHTING_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1.0
ParameterSelection|RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|RADIUS|Search Radius|None|None|100
ParameterSelection|MODE|Search Mode|[0] all directions;[1] quadrants
ParameterSelection|NPOINTS|Number of Points|[0] maximum number of observations;[1] all points
ParameterNumber|MAXPOINTS|Maximum Number of Observations|None|None|10
ParameterNumber|MINPOINTS|Minimum Number of Observations|None|None|4
OutputVector|REGRESSION|Regression
ParameterTableField|PREDICTORS|Predictor|POINTS|-1|False
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|True
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|SEARCH_RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|SEARCH_RADIUS|Search Radius|None|None|100
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance
ParameterNumber|SEARCH_POINTS_MIN|Minimum|1|None|4
ParameterNumber|SEARCH_POINTS_MAX|Maximum|1|None|20
ParameterSelection|SEARCH_DIRECTION|Search Direction|[0] all directions;[1] quadrants
OutputVector|REGRESSION|Regression
26 ...ing/algs/saga/description/2.1.3/GeographicallyWeightedMultipleRegression(PointsGrids).txt
View file
@@ -1,20 +1,20 @@
Geographically Weighted Multiple Regression (Points/Grids)
GWR for Multiple Predictor Grids
statistics_regression
ParameterMultipleInput|PREDICTORS|Predictors|3.0|False
ParameterBoolean|PARAMETERS |Output of Regression Parameters|True
ParameterVector|POINTS|Points|0|False
ParameterTableField|DEPENDENT|Dependent Variable|POINTS|-1|False
ParameterSelection|DISTANCE_WEIGHTING_WEIGHTING|Distance Weighting|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DISTANCE_WEIGHTING_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DISTANCE_WEIGHTING_IDW_OFFSET |Inverse Distance Offset|True
ParameterNumber|DISTANCE_WEIGHTING_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1.0
ParameterSelection|RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|RADIUS|Search Radius|None|None|100
ParameterSelection|MODE|Search Mode|[0] all directions;[1] quadrants
ParameterSelection|NPOINTS|Number of Points|[0] maximum number of observations;[1] all points
ParameterNumber|MAXPOINTS|Maximum Number of Observations|None|None|10
ParameterNumber|MINPOINTS|Minimum Number of Observations|None|None|4
ParameterSelection|RESOLUTION|Model Resolution|[0] same as predictors;[1] user defined|1
ParameterNumber|RESOLUTION_VAL|Resolution|0|None|1
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|True
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|SEARCH_RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|SEARCH_RADIUS|Search Radius|None|None|100
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance
ParameterNumber|SEARCH_POINTS_MIN|Minimum|1|None|4
ParameterNumber|SEARCH_POINTS_MAX|Maximum|1|None|20
ParameterSelection|SEARCH_DIRECTION|Search Direction|[0] all directions;[1] quadrants
OutputRaster|REGRESSION|Regression
OutputRaster|QUALITY|Coefficient of Determination
OutputRaster|SLOPES|Regression Parameters
OutputVector|RESIDUALS|Residuals
35 ...ugins/processing/algs/saga/description/2.1.3/GeographicallyWeightedMultipleRegression.txt
View file
@@ -1,21 +1,24 @@
Geographically Weighted Multiple Regression
GWR for Multiple Predictors (Gridded Model Output)
statistics_regression
ParameterVector|POINTS|Points|0|False
ParameterTableField|DEPENDENT|Dependent Variable|POINTS|-1|False
ParameterTableField|PREDICTORS|Predictor|POINTS|-1|False
Hardcoded|-TARGET_DEFINITION 0
ParameterSelection|DISTANCE_WEIGHTING_WEIGHTING|Distance Weighting|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DISTANCE_WEIGHTING_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DISTANCE_WEIGHTING_IDW_OFFSET |Inverse Distance Offset|True
ParameterNumber|DISTANCE_WEIGHTING_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|RADIUS|Search Radius|None|None|100
ParameterSelection|MODE|Search Mode|[0] all directions;[1] quadrants
ParameterSelection|NPOINTS|Number of Points|[0] maximum number of observations;[1] all points
ParameterNumber|MAXPOINTS|Maximum Number of Observations|None|None|10
ParameterNumber|MINPOINTS|Minimum Number of Observations|None|None|4
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|True
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|SEARCH_RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|SEARCH_RADIUS|Search Radius|None|None|100
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance
ParameterNumber|SEARCH_POINTS_MIN|Minimum|1|None|4
ParameterNumber|SEARCH_POINTS_MAX|Maximum|1|None|20
ParameterSelection|SEARCH_DIRECTION|Search Direction|[0] all directions;[1] quadrants
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|USER_SIZE|Cellsize|None|None|100.0
OutputRaster|USER_QUALITY|Quality
OutputRaster|USER_INTERCEPT|Intercept
OutputRaster|GRID_QUALITY|Quality
OutputRaster|GRID_INTERCEPT|Intercept
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputVector|REGRESSION|Regression
OutputRaster|SLOPES|Slopes
OutputRaster|TARGET_INTERCEPT|Intercept
OutputRaster|TARGET_QUALITY|Quality
22 ...s/processing/algs/saga/description/2.1.3/GeographicallyWeightedRegression(PointsGrid).txt
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@@ -1,18 +1,18 @@
Geographically Weighted Regression (Points/Grid)
GWR for Single Predictor Grid
statistics_regression
ParameterRaster|PREDICTOR|Predictor|False
ParameterVector|POINTS|Points|0|False
ParameterTableField|DEPENDENT|Dependent Variable|POINTS|-1|False
ParameterSelection|DISTANCE_WEIGHTING_WEIGHTING|Distance Weighting|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DISTANCE_WEIGHTING_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DISTANCE_WEIGHTING_IDW_OFFSET |Inverse Distance Offset|True
ParameterNumber|DISTANCE_WEIGHTING_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1.0
ParameterSelection|RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|RADIUS|Search Radius|None|None|0
ParameterSelection|MODE|Search Mode|[0] all directions;[1] quadrants
ParameterSelection|NPOINTS|Number of Points|[0] maximum number of observations;[1] all points
ParameterNumber|MAXPOINTS|Maximum Number of Observations|None|None|10
ParameterNumber|MINPOINTS|Minimum Number of Observations|None|None|4
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|True
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|SEARCH_RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|SEARCH_RADIUS|Search Radius|None|None|100
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance
ParameterNumber|SEARCH_POINTS_MIN|Minimum|1|None|4
ParameterNumber|SEARCH_POINTS_MAX|Maximum|1|None|20
ParameterSelection|SEARCH_DIRECTION|Search Direction|[0] all directions;[1] quadrants
OutputRaster|REGRESSION|Regression
OutputRaster|QUALITY|Coefficient of Determination
OutputRaster|INTERCEPT|Intercept
34 python/plugins/processing/algs/saga/description/2.1.3/GeographicallyWeightedRegression.txt
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@@ -1,22 +1,24 @@
Geographically Weighted Regression
GWR for Single Predictor (Gridded Model Output)
statistics_regression
ParameterVector|POINTS|Points|0|False
ParameterTableField|DEPENDENT|Dependent Variable|POINTS|-1|False
ParameterTableField|PREDICTOR|Predictor|POINTS|-1|False
Hardcoded|-TARGET_DEFINITION 0
ParameterSelection|DISTANCE_WEIGHTING_WEIGHTING|Distance Weighting|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DISTANCE_WEIGHTING_IDW_POWER|Inverse Distance Weighting Power|None|None|0
ParameterBoolean|DISTANCE_WEIGHTING_IDW_OFFSET |Inverse Distance Offset|True
ParameterNumber|DISTANCE_WEIGHTING_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|0.0
ParameterSelection|RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|RADIUS|Search Radius|None|None|100
ParameterSelection|MODE|Search Mode|[0] all directions;[1] quadrants
ParameterSelection|NPOINTS|Number of Points|[0] maximum number of observations;[1] all points
ParameterNumber|MAXPOINTS|Maximum Number of Observations|None|None|10
ParameterNumber|MINPOINTS|Minimum Number of Observations|None|None|4
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power|None|None|1
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|True
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth|None|None|1
ParameterSelection|SEARCH_RANGE|Search Range|[0] search radius (local);[1] no search radius (global)
ParameterNumber|SEARCH_RADIUS|Search Radius|None|None|100
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance
ParameterNumber|SEARCH_POINTS_MIN|Minimum|1|None|4
ParameterNumber|SEARCH_POINTS_MAX|Maximum|1|None|20
ParameterSelection|SEARCH_DIRECTION|Search Direction|[0] all directions;[1] quadrants
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|USER_SIZE|Cellsize|None|None|100.0
OutputRaster|USER_GRID|Grid
OutputRaster|USER_QUALITY|Quality
OutputRaster|USER_INTERCEPT|Intercept
OutputRaster|USER_SLOPE|Slope
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
OutputRaster|TARGET_INTERCEPT|Intercept
OutputRaster|TARGET_SLOPE|Slope
OutputRaster|TARGET_QUALITY|Quality
4 python/plugins/processing/algs/saga/description/2.1.3/InverseDistanceWeighted.txt
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@@ -2,7 +2,6 @@ Inverse Distance Weighted
grid_gridding
ParameterVector|SHAPES|Points|0|False
ParameterTableField|FIELD|Attribute|SHAPES|-1|False
ParameterRaster|TARGET_TEMPLATE|Target System|True
ParameterSelection|WEIGHTING|Distance Weighting|[0] inverse distance to a power;[1] linearly decreasing within search radius;[2] exponential weighting scheme;[3] gaussian weighting scheme
ParameterNumber|WEIGHT_POWER|Inverse Distance Power|0.0|None|2
ParameterNumber|WEIGHT_BANDWIDTH|Exponential and Gaussian Weighting Bandwidth|0.0|None|1
@@ -13,4 +12,5 @@ Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_DEFINITION|Target Grid System|[0] user defined;[1] grid or grid system
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
OutputRaster|TARGET_OUT_GRID|Grid
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
5 python/plugins/processing/algs/saga/description/2.1.3/KernelDensityEstimation.txt
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@@ -7,5 +7,6 @@ ParameterSelection|KERNEL|Kernel|[0] quartic kernel;[1] gaussian kernel
Hardcoded|-TARGET_DEFINITION 0
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit Choice|[0] nodes;[1] cells
OutputRaster|TARGET_OUT_GRID|Grid
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
15 python/plugins/processing/algs/saga/description/2.1.3/ModifedQuadraticShepard.txt
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@@ -3,11 +3,10 @@ grid_gridding
ParameterVector|SHAPES|Points|0|False
ParameterTableField|FIELD|Attribute|SHAPES|-1|False
Hardcoded|-TARGET_DEFINITION 0
ParameterNumber|QUADRATIC_NEIGHBORS|Quadratic Neighbors|1.0|None|13
ParameterNumber|WEIGHTING_NEIGHBORS|Weighting Neighbors|1.0|None|19
ParameterNumber|USER_XMIN|Left|None|None|0.0
ParameterNumber|USER_XMAX|Right|None|None|0.0
ParameterNumber|USER_YMIN|Bottom|None|None|0.0
ParameterNumber|USER_YMAX|Top|None|None|0.0
ParameterNumber|USER_SIZE|Cellsize|None|None|100.0
OutputRaster|USER_GRID|Grid
ParameterNumber|QUADRATIC_NEIGHBORS|Quadratic Neighbors|5.0|None|13
ParameterNumber|WEIGHTING_NEIGHBORS|Weighting Neighbors|3.0|None|19
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
7 python/plugins/processing/algs/saga/description/2.1.3/Mosaicking.txt
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@@ -2,13 +2,14 @@ Mosaick raster layers|Mosaicking
grid_tools
AllowUnmatching
ParameterMultipleInput|GRIDS|Input Grids|3|False
ParameterMultipleInput|GRID_GRID|Grid (Optional Input)|3|True
ParameterSelection|TYPE|Preferred data storage type|[0] 1 bit;[1] 1 byte unsigned integer;[2] 1 byte signed integer;[3] 2 byte unsigned integer;[4] 2 byte signed integer;[5] 4 byte unsigned integer;[6] 4 byte signed integer;[7] 4 byte floating point;[8] 8 byte floating point|7
ParameterSelection|INTERPOL|Interpolation|[0] Nearest Neighbor;[1] Bilinear Interpolation;[2] Inverse Distance Interpolation;[3] Bicubic Spline Interpolation;[4] B-Spline Interpolation|0
ParameterSelection|OVERLAP|Overlapping Areas|[0] first;[1] last;[2] minimum;[3] maximum;[4] mean;[5] blend boundary;[6] feathering|1
ParameterNumber|BLEND_DIST|Blending Distance|0.0|None|10.0
ParameterSelection|MATCH|Match|[0] none;[1] regression|0
Hardcoded|-TARGET_DEFINITION 0
ParameterSelection|USER_FIT|Fit|[0] nodes;[1] cells|0
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
OutputRaster|USER_GRID|Mosaicked Grid
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
9 ...gins/processing/algs/saga/description/2.1.3/MultilevelB-SplineInterpolation(fromGrid).txt
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@@ -1,11 +1,14 @@
Multilevel B-Spline Interpolation (from Grid)
grid_spline
ParameterRaster|GRIDPOINTS|Grid|False
ParameterRaster|GRID|Grid|False
Hardcoded|-TARGET_DEFINITION 0
ParameterSelection|METHOD|Method|[0] without B-spline refinement;[1] with B-spline refinement
ParameterNumber|EPSILON|Threshold Error|None|None|0.0001
ParameterNumber|LEVEL_MAX|Maximum Level|None|None|11.0
ParameterNumber|EPSILON|Threshold Error|0|None|0.0001
ParameterNumber|LEVEL_MAX|Maximum Level|1|14|11.0
ParameterBoolean|UPDATE|Update View|False
ParameterSelection|DATATYPE|Data Type|[0] same as input grid;[1] floating point
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid
8 python/plugins/processing/algs/saga/description/2.1.3/MultilevelB-SplineInterpolation.txt
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@@ -2,12 +2,12 @@ Multilevel B-Spline Interpolation
grid_spline
ParameterVector|SHAPES|Points|0|False
ParameterTableField|FIELD|Attribute|SHAPES|-1|False
ParameterRaster|TARGET_TEMPLATE|Target System|True
ParameterSelection|METHOD|Method|[0] without B-spline refinement;[1] with B-spline refinement
ParameterNumber|EPSILON|Threshold Error|None|None|0.0001
ParameterNumber|EPSILON|Threshold Error|0|None|0.0001
ParameterBoolean|UPDATE|Update View|False
Hardcoded|-TARGET_DEFINITION 0
Extent TARGET_USER_XMIN TARGET_USER_XMAX TARGET_USER_YMIN TARGET_USER_YMAX
ParameterNumber|TARGET_USER_SIZE|Cellsize|None|None|100.0
ParameterSelection|TARGET_DEFINITION|Target Grid System|[0] user defined;[1] grid or grid system
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells
OutputRaster|TARGET_OUT_GRID|Grid
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Grid

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