# SearchNeighborhoodSmooth (arcpy)

## 摘要

The SearchNeighborhoodSmooth class can be used to define the search neighborhood for IDW, Local Polynomial Interpolation, and Radial Basis Functions (only when the INVERSE_MULTIQUADRIC_FUNCTION keyword is used). The smooth search neighborhood class accepts inputs for a minor and major axis, the size of search ellipse, the angle of the search ellipse, and a smoothing factor.

## 语法

**SearchNeighborhoodSmooth ({majorSemiaxis}, {minorSemiaxis}, {angle}, {smoothFactor})**

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 |

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 |

angle (读写) |
The angle of the search ellipse. | Double |

majorSemiaxis (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 (读写) |
The distance, in map units, specifying the length of the minor semi axis of the ellipse within which data is selected. | Double |

nbrType (只读) |
The neighborhood type: Smooth or Standard. | String |

smoothFactor (读写) |
Determines how much smoothing will be performed: 0 is no smoothing, and 1 is the maximum amount of smoothing. | Double |

## 代码实例

SearchNeighborhoodSmooth with Local Polynomial Interpolation to produce an output raster.

```
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 with Local Polynomial Interpolation to produce an output raster.

```
# 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)
```