SearchNeighborhoodSmooth

摘要

SearchNeighborhoodSmooth 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(仅在使用 INVERSE_MULTIQUADRIC_FUNCTION 关键字的情况下使用)。平滑搜索邻域类接受如下输入:短轴和长轴、搜索椭圆的大小、搜索椭圆的角度和平滑系数。

了解有关平滑插值法的详细信息

语法

 SearchNeighborhoodSmooth ({majorSemiaxis}, {minorSemiaxis}, {angle}, {smoothFactor})
参数说明数据类型
majorSemiaxis

以地图单位表示的距离,指定从其中选择数据的椭圆的长半轴长度。

Double
minorSemiaxis

以地图单位表示的距离,指定从其中选择数据的椭圆的短半轴长度。

Double
angle

搜索椭圆的角度。

Double
smoothFactor

确定要执行的平滑量:0 为无平滑;1 为最大平滑量。

Double

属性

属性说明数据类型
angle
(可读写)

搜索椭圆的角度。

Double
majorSemiaxis
(可读写)

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
(可读写)

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
nbrType
(只读)

邻域类型:平滑或标准。

String
smoothFactor
(可读写)

确定要执行的平滑量:0 为无平滑,1 为最大平滑量。

Double

代码示例

SearchNeighborhoodSmooth(Python 窗口)

使用 SearchNeighborhoodSmooth 和“局部多项式插值法”来生成输出栅格。

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(独立脚本)

使用 SearchNeighborhoodSmooth 和“局部多项式插值法”来生成输出栅格。

# 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)