SearchNeighborhoodStandard

摘要

The SearchNeighborhoodStandard class can be used to define the search neighborhood for IDW, Local Polynomial Interpolation, and Radial Basis Functions.

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
(可读写)

The angle of the search ellipse.

Double
majorSemiaxis
(可读写)

The distance, in map units, specifying the length of the major semi axis of the ellipse within which data is selected.

Double
minorSemiaxis
(可读写)

The distance, in map units, specifying the length of the minor semi axis of the ellipse within which data is selected.

Double
nbrMax
(可读写)

Maximum number of neighbors, within the search ellipse, to use when making the prediction.

Long
nbrMin
(可读写)

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
(可读写)

The searching ellipse can be divided into 1, 4, 4 with an offset of 45º, or 8 sectors.

String

代码示例

SearchNeighborhoodStandard (Python window)

SearchNeighborhoodStandard with IDW to produce an output raster.

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 (stand-alone script)

SearchNeighborhoodStandard with IDW to produce an output raster.

# 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)


7/10/2012