Mit der Spatial Analyst-Lizenz verfügbar.
Zusammenfassung
Defines the Universal Kriging model. The available model types are Linear with linear drift and Linear with quadratic drift.
Diskussion
The KrigingModelUniversal object is used in the Kriging tool.
The Universal Kriging types (Linear with linear drift and Linear with quadratic drift) assume that there is a structural component present and that the local trend varies from one location to another.
Universal Kriging assumes the model:
Z(s) = µ(s) + ε(s)
A default value for lagSize is initially set to the default output cell size.
For majorRange, partialSill, and nugget, a default value will be calculated internally if nothing is specified.
Syntax
KrigingModelUniversal ({semivariogramType}, {lagSize}, {majorRange}, {partialSill}, {nugget})
Parameter | Erläuterung | Datentyp |
semivariogramType | Semivariogram model to be used.
(Der Standardwert ist LINEARDRIFT) | String |
lagSize | The lag size to be used in model creation. The default is the output raster cell size. | Double |
majorRange | Represents a distance beyond which there is little or no correlation. | Double |
partialSill | The difference between the nugget and the sill. | Double |
nugget | Represents the error and variation at spatial scales too fine to detect. The nugget effect is seen as a discontinuity at the origin. | Double |
Eigenschaften
Eigenschaft | Erläuterung | Datentyp |
semivariogramType (Lesen und schreiben) | Semivariogram model to be used.
| String |
lagSize (Lesen und schreiben) | The lag size to be used in model creation. The default is the output raster cell size. | Double |
majorRange (Lesen und schreiben) | Represents a distance beyond which there is little or no correlation. | Double |
partialSill (Lesen und schreiben) | The difference between the nugget and the sill. | Double |
nugget (Lesen und schreiben) | Represents the error and variation at spatial scales too fine to detect. The nugget effect is seen as a discontinuity at the origin. | Double |
Codebeispiel
Demonstrates how to create a KrigingModelUniversal object and use it in the Kriging tool within the Python window.
import arcpy
from arcpy import env
from arcpy.sa import *
env.workspace = "C:/sapyexamples/data"
kModelUniversal = KrigingModelUniversal("LINEARDRIFT", 70000, 250000, 180000, 34000)
outKrigingUni1 = Kriging("ca_ozone_pts.shp", "ELEVATION", kModelUniversal, 2000, RadiusVariable(),"")
outKrigingUni1.save("C:/sapyexamples/output/kuniversal1")
Calculates a Kriging surface using the KrigingModelUniversal object.
# Name: KrigingModelUniversal_Ex_02.py
# Description: Uses the KrigingModelUniversal object to execute the Kriging tool.
# Requirements: Spatial Analyst Extension
# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *
# Set environment settings
env.workspace = "C:/sapyexamples/data"
# Set local variables
inPointFeature = "ca_ozone_pts.shp"
outVarRaster = "C:/sapyexamples/output/uvariance2"
# Create KrigingModelUniversal Object
lagSize = 70000
majorRange = 250000
partialSill = 180000
nugget = 34000
kModelUniversalObj = KrigingModelUniversal("LINEARDRIFT", lagSize, majorRange,
partialSill, nugget)
# Execute
outKrigingUni2 = Kriging(inPointFeature, "ELEVATION", kModelUniversalObj, 2000,
RadiusFixed(200000, 10), outVarRaster)
# Save the output
outKrigingUni2.save("C:/sapyexamples/output/kuniversal2")