# SearchNeighborhoodStandardCircular (arcpy)

## 摘要

SearchNeighborhoodStandardCircular 类可用于定义以下邻域搜索方法：经验贝叶斯克里金法反距离权重法局部多项式插值法径向基函数插值法

## 语法

SearchNeighborhoodStandardCircular ({radius}, {angle}, {nbrMax}, {nbrMin}, {sectorType})
 参数 说明 数据类型 radius The distance, in map units, specifying the length of the radius of the searching circle. Double angle The angle of the search circle. This parameter will only affect the angle of the sectors. 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

## 属性

 属性 说明 数据类型 angle(读写) The angle of the search ellipse. Double radius(读写) The distance, in map units, specifying the length of the radius of the searching circle. Double nbrMax(读写) Maximum number of neighbors, within the search ellipse, to use when making the prediction. Long nbrMin(读写) Minimum number of neighbors, within the search ellipse, to use when making the prediction. Long nbrType(只读) The neighborhood type: Smooth or Standard. String sectorType(读写) The searching ellipse can be divided into 1, 4, 4 with an offset of 45º, or 8 sectors. String

## 代码实例

SearchNeighborhoodSmoothCircular（Python 窗口）

SearchNeighborhoodStandardCircular 与经验贝叶斯克里金法相结合生成输出栅格的示例。

``````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")
``````
SearchNeighborhoodSmoothCircular（独立脚本）

SearchNeighborhoodStandardCircular 与经验贝叶斯克里金法相结合生成输出栅格的示例。

``````# 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)
``````
5/10/2014