SearchNeighborhoodSmooth

Zusammenfassung

The SearchNeighborhoodSmooth class can be used to define the search neighborhood for IDW, Local Polynomial Interpolation, and Radial Basis Functions (only when the INVERSE_MULTIQUADRIC_FUNCTION keyword is used). The smooth search neighborhood class accepts inputs for a minor and major axis, the size of search ellipse, the angle of the search ellipse, and a smoothing factor.

Smooth interpolation

Syntax

SearchNeighborhoodSmooth ({majorSemiaxis}, {minorSemiaxis}, {angle}, {smoothFactor})

Parameter	Erläuterung	Datentyp
majorSemiaxis	The distance, in map units, specifying the length of the major semi axis of the ellipse within which data is selected from.	Double
minorSemiaxis	The distance, in map units, specifying the length of the minor semi axis of the ellipse within which data is selected from.	Double
angle	The angle of the search ellipse.	Double
smoothFactor	Determines how much smoothing will be performed. 0 is no smoothing; 1 is the maximum amount of smoothing.	Double

Eigenschaften

Eigenschaft	Erläuterung	Datentyp
angle (Lesen und schreiben)	The angle of the search ellipse.	Double
majorSemiaxis (Lesen und schreiben)	The distance, in map units, specifying the length of the major semi axis of the ellipse within which data is selected.	Double
minorSemiaxis (Lesen und schreiben)	The distance, in map units, specifying the length of the minor semi axis of the ellipse within which data is selected.	Double
nbrType (Nur lesen)	The neighborhood type: Smooth or Standard.	String
smoothFactor (Lesen und schreiben)	Determines how much smoothing will be performed: 0 is no smoothing, and 1 is the maximum amount of smoothing.	Double

Codebeispiel

SearchNeighborhoodSmooth (Python window)

SearchNeighborhoodSmooth with Local Polynomial Interpolation to produce an output raster.

import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.LocalPolynomialInterpolation_ga("ca_ozone_pts", "OZONE", "outLPI",
                                      "C:/gapyexamples/output/lpiout", "2000", "2",
                                      arcpy.SearchNeighborhoodSmooth(300000, 300000, 0, 0.5),
                                      "QUARTIC", "", "", "", "", "PREDICTION")

SearchNeighborhoodSmooth (stand-alone script)

SearchNeighborhoodSmooth with Local Polynomial Interpolation to produce an output raster.

# Name: LocalPolynomialInterpolation_Example_02.py
# Description: Local Polynomial interpolation fits many polynomials, each within
#   specified overlapping neighborhoods. 
# Requirements: Geostatistical Analyst Extension

# Import system modules
import arcpy

# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"

# Set local variables
inPointFeatures = "ca_ozone_pts.shp"
zField = "ozone"
outLayer = "outLPI"
outRaster = "C:/gapyexamples/output/lpiout"
cellSize = 2000.0
power = 2
kernelFunction = "QUARTIC"
bandwidth = ""
useConNumber = ""
conNumber = ""
weightField = ""
outSurface = "PREDICTION"

# Set variables for search neighborhood
majSemiaxis = 300000
minSemiaxis = 300000
angle = 0
smoothFactor = 0.5
searchNeighbourhood = arcpy.SearchNeighborhoodSmooth(majSemiaxis, minSemiaxis,
                                                     angle, smoothFactor)


# Check out the ArcGIS Geostatistical Analyst extension license
arcpy.CheckOutExtension("GeoStats")

# Execute LocalPolynomialInterpolation
arcpy.LocalPolynomialInterpolation_ga(inPointFeatures, zField, outLayer, outRaster,
                                      cellSize, power, searchNeighbourhood,
                                      kernelFunction, bandwidth, useConNumber,
                                      conNumber, weightField, outSurface)