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To remove a class, select the row and click the delete icon (X). You can also select multiple rows to delete. To add a class, type it into the Class breaks control and hit the add icon
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02-26-2015
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In most cases there should not be a problem. You can, however, see how well or how badly the data are being transformed. On the NormalSoreTransformation page in the Wizard change to a Cumulative graph and you’ll see if there is a large deviation or not. The Wizard automatically does the back-transform so you don’t have to do that yourself. -Steve
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02-18-2015
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02-18-2015
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Beth In 10.1 we introduced some new transformations. If you pick LogEmpirical the predictions will be > zero. -Steve
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02-18-2015
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and if you right click the geostatistical layer, Properties->Source. What coordinate system is listed? and then do the same for the input point feature class. -Steve
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02-15-2015
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Have a look at Empirical Bayesian Kriging, which in 10,3, makes use of chordal distances if your data are in an unprojected coordinate system. Or do your interpolation in an appropriate projected coordinate system and project the output to GCS, however, often the area is too large for this and that is why we introduced chordal distances. -Steve
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02-15-2015
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or if you have a Geostatistical Analyst license you could use the SubsetFeatures gp tool, viz., arcpy.SubsetFeatures_ga('myPolys', 'outPolys', '', 5, "ABSOLUTE_VALUE") will return 5 randomly selected polygons. and arcpy.SubsetFeatures_ga('myPolys', 'outPolys', '', 5, "PERCENTAGE_OF_INPUT") will return a random 5% of the polygons. or if you have n polygons, then generate 5 random numbers between 1 and n and use these as polygon id's and extract those features. Which is basically what the script above does. -Steve
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02-13-2015
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Julia Do you have any other information that might help explain the variable that you are trying to interpolate, for example, elevation, soil depth or any other continuous variable? If so you might want to look at cokriging. -Steve
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02-05-2015
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Try a smaller subset size and increase the overlap factor to 2 or 3
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02-04-2015
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Julia That is great, what parameters are you using? I.e what transformation, which model, what subset size, etc. -Steve
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02-04-2015
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Julia Are you using 10.1 or later, if so then look at Emperical Bayesian Kriging Also, could you include a screenshot of the semivariogram that you are using. -Steve
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02-04-2015
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Neil To loop through a raster table you can use.
input = "myIntRaster"
cursor = arcpy.da.SearchCursor(input, ['value', 'count'])
for row in cursor:
print (row)
-Steve
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10-21-2014
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Gerrit Please email me the XML file, I.e after you hit Finish in the Wizard then on the MethodReport dialog choose Save and send me ([email protected]) this XML file. For your second question, GACreateGeostatisticalLayer2 is the name of the Geostatistical layer and not a variable I guess and therefore it should be in quotes, viz. results = arcpy.CrossValidation_ga("GACreateGeostatisticalLayer2") -Steve
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09-16-2014
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If your are on a maintenance contract and in the USA then please contact Esri Support else please contact your local distributor. -Steve
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08-28-2014
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