SearchNeighborhoodSmoothCircular (arcpy)

摘要

SearchNeighborhoodSmoothCircular 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）。该类接受输入的搜索圆半径和平滑系数。

平滑插值法

语法

SearchNeighborhoodSmoothCircular ({radius}, {smoothFactor})

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
smoothFactor	Determines how much smoothing will be performed. 0 is no smoothing; 1 is the maximum amount of smoothing.	Double

属性

属性	说明	数据类型
radius (读写)	The distance, in map units, specifying the length of the radius of the searching circle.	Double
smoothFactor (读写)	Determines how much smoothing will be performed: 0 is no smoothing, and 1 is the maximum amount of smoothing.	Double
nbrType (只读)	The neighborhood type: Smooth or Standard.	String

代码实例

SearchNeighborhoodSmoothCircular（Python 窗口）

SearchNeighborhoodSmoothCircular 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）

SearchNeighborhoodSmoothCircular 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)