SearchNeighborhoodSmoothCircular

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。

了解有关平滑插值法的详细信息

语法

SearchNeighborhoodSmoothCircular ({radius}, {smoothFactor})
参数说明数据类型
radius

以地图单位指定搜索圆的半径长度的距离。

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
radius
(可读写)

以地图单位指定搜索圆的半径长度的距离。

Double
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
nbrType
(只读)

邻域类型:平滑或标准。

String

代码示例

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.EmpiricalBayesianKriging_ga("ca_ozone_pts", "OZONE", "outEBK", "C:/gapyexamples/output/ebkout",
                                  100000, "NONE", 50, 0.5, 100,
                                  arcpy.SearchNeighborhoodSmoothCircular(300000, 0.5),
                                  "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: EmpiricalBayesianKriging_Example_02.py
# Description: Bayesian kriging approach whereby many models created around the
#   semivariogram model estimated by the restricted maximum likelihood algorithm is used.
# Requirements: Geostatistical Analyst Extension
# Author: ESRI

# 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 = "outEBK"
outRaster = "C:/gapyexamples/output/ebkout"
cellSize = 10000.0
transformation = "NONE"
maxLocalPoints = 50
overlapFactor = 0.5
numberSemivariograms = 100
# Set variables for search neighborhood
radius = 300000
smooth = 0.6
searchNeighbourhood = arcpy.SearchNeighborhoodSmoothCircular(radius, smooth)
outputType = "PREDICTION"
quantileValue = ""
thresholdType = ""
probabilityThreshold = ""

# Execute EmpiricalBayesianKriging
arcpy.EmpiricalBayesianKriging_ga(inPointFeatures, zField, outLayer, outRaster,
                                  cellSize, transformation, maxLocalPoints, overlapFactor, numberSemivariograms,
                                  searchNeighbourhood, outputType, quantileValue, thresholdType, probabilityThreshold)