SearchNeighborhoodSmooth

Summary

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 the search ellipse, the angle of the search ellipse, and a smoothing factor.

Syntax

SearchNeighborhoodSmooth ({majorSemiaxis}, {minorSemiaxis}, {angle}, {smoothFactor})
 Parameter Explanation Data Type 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

Properties

 Property Explanation Data Type angle(Read and Write) The angle of the search ellipse. Double majorSemiaxis(Read and Write) The distance, in map units, specifying the length of the major semi axis of the ellipse within which data is selected. Double minorSemiaxis(Read and Write) The distance, in map units, specifying the length of the minor semi axis of the ellipse within which data is selected. Double nbrType(Read Only) The neighborhood type: Smooth or Standard. String smoothFactor(Read and Write) Determines how much smoothing will be performed: 0 is no smoothing, and 1 is the maximum amount of smoothing. Double

Code sample

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)

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