SearchNeighborhoodStandard

サマリ

The SearchNeighborhoodStandard class can be used to define the search neighborhood for IDW, Local Polynomial Interpolation, and Radial Basis Functions.

Search neighborhoods

構文

SearchNeighborhoodStandard ({majorSemiaxis}, {minorSemiaxis}, {angle}, {nbrMax}, {nbrMin}, {sectorType})

パラメータ	説明	データ タイプ
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
nbrMax	Maximum number of neighbors, within the search ellipse, to use when making the prediction.	Long
nbrMin	Minimum number of neighbors, within the search ellipse, to use when making the prediction.	Long
sectorType	The searching ellipse can be divided into 1, 4, 4 with an offset of 45º, or 8 sectors.	String

プロパティ

プロパティ	説明	データ タイプ
angle （読み書き）	The angle of the search ellipse.	Double
majorSemiaxis （読み書き）	The distance, in map units, specifying the length of the major semi axis of the ellipse within which data is selected.	Double
minorSemiaxis （読み書き）	The distance, in map units, specifying the length of the minor semi axis of the ellipse within which data is selected.	Double
nbrMax （読み書き）	Maximum number of neighbors, within the search ellipse, to use when making the prediction.	Long
nbrMin （読み書き）	Minimum number of neighbors, within the search ellipse, to use when making the prediction.	Long
nbrType （読み取り専用）	The neighborhood type: Smooth or Standard.	String
sectorType （読み書き）	The searching ellipse can be divided into 1, 4, 4 with an offset of 45º, or 8 sectors.	String

コードのサンプル

SearchNeighborhoodStandard (Python window)

SearchNeighborhoodStandard with IDW to produce an output raster.

import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.IDW_ga("ca_ozone_pts", "OZONE", "outIDW", "C:/gapyexamples/output/idwout",
             "2000", "2", arcpy.SearchNeighborhoodStandard(300000, 300000, 0, 15, 10, "ONE_SECTOR"), "")

SearchNeighborhoodStandard (stand-alone script)

SearchNeighborhoodStandard with IDW to produce an output raster.

# Name: InverseDistanceWeighting_Example_02.py
# Description: Interpolate a series of point features onto a rectangular raster
#   using Inverse Distance Weighting (IDW).
# 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 = "outIDW"
outRaster = "C:/gapyexamples/output/idwout"
cellSize = 2000.0
power = 2

# Set variables for search neighborhood
majSemiaxis = 300000
minSemiaxis = 300000
angle = 0
maxNeighbors = 15
minNeighbors = 10
sectorType = "ONE_SECTOR"
searchNeighbourhood = arcpy.SearchNeighborhoodStandard(majSemiaxis, minSemiaxis,
                                                       angle, maxNeighbors,
                                                       minNeighbors, sectorType)

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

# Execute IDW
arcpy.IDW_ga(inPointFeatures, zField, outLayer, outRaster, cellSize, power,
             searchNeighbourhood)