摘要
SearchNeighborhoodStandard 类可用于定义以下邻域搜索方法：反距离权重法、局部多项式插值法、和径向基函数插值法。
语法
SearchNeighborhoodStandard ({majorSemiaxis}, {minorSemiaxis}, {angle}, {nbrMax}, {nbrMin}, {sectorType})| 参数 | 说明 | 数据类型 |
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 |
属性
| 属性 | 说明 | 数据类型 |
| angle (读写) | The angle of the search ellipse. | Double |
| majorSemiaxis (读写) | 以地图单位表示的距离，指定在其中选择数据的椭圆的长半轴长度。 | Double |
| minorSemiaxis (读写) | 以地图单位表示的距离，指定在其中选择数据的椭圆的短半轴长度。 | Double |
| nbrMax (读写) | 要在进行预测时使用的搜索椭圆内的最大相邻要素数。 | Long |
| nbrMin (读写) | 要在进行预测时使用的搜索椭圆内的最小相邻要素数。 | Long |
| nbrType (只读) | 邻域类型：平滑或标准。 | 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
SearchNeighborhoodStandard（Python 窗口）
SearchNeighborhoodStandard 结合反距离权重法生成输出栅格。
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（独立脚本）
SearchNeighborhoodStandard 结合反距离权重法生成输出栅格。
# 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)