Fixes Ordinary Kriging for both SAGA 2.10 and 2.0.8

qgis · Oct 17, 2013 · fecccda · fecccda
1 parent 491231e
commit fecccda
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Showing 2 changed files with 22 additions and 22 deletions.
diff --git a/python/plugins/processing/saga/description/2.0.8_OrdinaryKriging.txt b/python/plugins/processing/saga/description/2.0.8_OrdinaryKriging.txt
@@ -20,6 +20,6 @@ ParameterNumber|NPOINTS_MIN|Min.Number of m_Points|None|None|4
 ParameterNumber|NPOINTS_MAX|Max. Number of m_Points|None|None|20
 ParameterNumber|USER_CELL_SIZE|Grid Size|0|None|1.0
 ParameterBoolean|USER_FIT_EXTENT        |Fit Extent|True
-Extent USER_X_EXTENT_MIN USER_X_EXTENT_MAX USER_Y_EXTENT_MIN USER_Y_EXTENT_MIN
+Extent USER_X_EXTENT_MIN USER_X_EXTENT_MAX USER_Y_EXTENT_MIN USER_Y_EXTENT_MAX
 OutputRaster|GRID|Grid
 OutputRaster|VARIANCE|Variance
diff --git a/python/plugins/processing/saga/description/2.1_OrdinaryKriging.txt b/python/plugins/processing/saga/description/2.1_OrdinaryKriging.txt
@@ -1,25 +1,25 @@
 Ordinary Kriging
 geostatistics_kriging
-ParameterVector|SHAPES|Points|0|False
-ParameterTableField|FIELD|Attribute|SHAPES|-1|False
-ParameterBoolean|BVARIANCE              |Create Variance Grid|True
+ParameterVector|POINTS|Points|0|False
+ParameterTableField|ZFIELD|Attribute|POINTS|-1|False
 ParameterSelection|TARGET|Target Grid|[0] user defined
-ParameterSelection|MODEL|Variogram Model|[0] Spherical Model;[1] Exponential Model;[2] Gaussian Model;[3] Linear Regression;[4] Exponential Regression;[5] Power Function Regression
+ParameterSelection|TQUALITY|Type of Quality Measure|[0] standard deviation;[1] variance
+ParameterBoolean|LOG                   |Logarithmic Transformation|True
 ParameterBoolean|BLOCK                  |Block Kriging|True
-ParameterNumber|DBLOCK|Block Size|1|None|100
-ParameterBoolean|BLOG                   |Logarithmic Transformation|True
-ParameterNumber|NUGGET|Nugget|None|None|0.0
-ParameterNumber|SILL|Sill|None|None|10.0
-ParameterNumber|RANGE|Range|None|None|100.0
-ParameterNumber|LIN_B|Linear Regression|None|None|1.0
-ParameterNumber|EXP_B|Exponential Regression|None|None|0.1
-ParameterNumber|POW_A|Power Function - A|None|None|1
-ParameterNumber|POW_B|Power Function - B|None|None|0.5
-ParameterNumber|MAXRADIUS|Maximum Search Radius (map units)|None|None|1000.0
-ParameterNumber|NPOINTS_MIN|Min.Number of m_Points|None|None|4
-ParameterNumber|NPOINTS_MAX|Max. Number of m_Points|None|None|20
-ParameterNumber|USER_CELL_SIZE|Grid Size|0|None|1.0
-ParameterBoolean|USER_FIT_EXTENT        |Fit Extent|True
-Extent USER_X_EXTENT_MIN USER_X_EXTENT_MAX USER_Y_EXTENT_MIN USER_Y_EXTENT_MIN
-OutputRaster|GRID|Grid
-OutputRaster|VARIANCE|Variance
+ParameterNumber|DBLOCK|Block Size|0|None|100
+ParameterNumber|VAR_MAXDIST|Maximum Distance|None|None|-1.0
+ParameterNumber|VAR_NCLASSES|Lag Distance Classes|1|None|100
+ParameterNumber|VAR_NSKIP|Skip|1|None|1
+ParameterString|VAR_MODEL|Variogram Model|a + b * x
+ParameterSelection|SEARCH_RANGE|Search Range|[0] local;[1] global
+ParameterNumber|SEARCH_RADIUS|Maximum Search Distance|0|None|1000
+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
+ParameterBoolean|USER_BVARIANCE              |Create Quality Grid|True
+Extent USER_XMIN USER_XMAX USER_YMIN USER_YMAX
+ParameterNumber|USER_SIZE|Cellsize|0|None|1.0
+ParameterSelection|USER_FIT|Search Direction|[0] nodes;[1] cells
+OutputRaster|USER_GRID|Grid
+OutputRaster|USER_VARIANCE|Variance