ラベル | 説明 | データ タイプ |

Input point features | Points used to create a neighborhood selection. | Feature Layer |

Output layer | Layer to store the neighborhood selection. | Feature Layer |

Input point | The neighborhood center's x,y coordinate. | Point |

Maximum neighbors to include | The number of points to use in each sector. If a sector has the required number of points, all points in that sector are used. | Long |

Include at least | The minimum number of points to use in each sector. If the minimum number of required points are not available in any given sector, the nearest available point outside the sector will be selected. | Long |

Minor semiaxis | Size of the minor semiaxis of the search neighborhood. | Double |

Major semiaxis | Size of the major semiaxis of the search neighborhood. | Double |

Angle | The angle of rotation of the neighborhood axis. | Double |

Shape type (オプション) | The geometry of the neighborhood. - One sector— Single ellipse
- Four sectors— Ellipse divided into four sectors
- Four shifted sectors— Ellipse divided into four sectors and shifted 45 degrees
- Eight sectors— Ellipse divided into eight sectors
| String |

Geostatistical Analyst のライセンスで利用可能。

## サマリー

Creates a layer of points based on a user-defined neighborhood.

For example, you might wish to create a selection of points in a circular neighborhood around a location defined by the Input point. The illustration above demonstrates that the output will be the 10 points, colored blue, that fall within the circle.

## 使用法

This tool can be used in conjunction with the interpolation tools when different searching neighborhoods are examined.

## パラメーター

arcpy.ga.GANeighborhoodSelection(in_dataset, out_layer, point_coord, neighbors_max, neighbors_min, minor_semiaxis, major_semiaxis, angle, {shape_type})

名前 | 説明 | データ タイプ |

in_dataset | Points used to create a neighborhood selection. | Feature Layer |

out_layer | Layer to store the neighborhood selection. | Feature Layer |

point_coord | The neighborhood center's x,y coordinate. | Point |

neighbors_max | The number of points to use in each sector. If a sector has the required number of points, all points in that sector are used. | Long |

neighbors_min | The minimum number of points to use in each sector. If the minimum number of required points are not available in any given sector, the nearest available point outside the sector will be selected. | Long |

minor_semiaxis | Size of the minor semiaxis of the search neighborhood. | Double |

major_semiaxis | Size of the major semiaxis of the search neighborhood. | Double |

angle | The angle of rotation of the neighborhood axis. | Double |

shape_type (オプション) | The geometry of the neighborhood. - ONE_SECTOR— Single ellipse
- FOUR_SECTORS— Ellipse divided into four sectors
- FOUR_SECTORS_SHIFTED— Ellipse divided into four sectors and shifted 45 degrees
- EIGHT_SECTORS— Ellipse divided into eight sectors
| String |

### コードのサンプル

Create a feature layer based on some neighborhood criteria.

```
import arcpy
from arcpy import env
env.workspace = "C:/gapyexamples/data"
arcpy.GANeighborhoodSelection_ga("ca_ozone_pts", "outNS", "-2000000 -50000",
"20", "5","200000", "200000", "0", "One sector")
```

Create a feature layer based on some neighborhood criteria.

```
# Name: NeighborhoodSelection_Example_02.py
# Description: Creates a layer of points based on a user-defined neighborhood.
# Requirements: Geostatistical Analyst Extension
# Import system modules
import arcpy
# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"
# Set local variables
inPoints = "ca_ozone_pts.shp"
outLayer = "outNS"
pointCoord = "-2000000 -50000"
maxNeighbors = 20
minNeighbors = 5
majSemiaxis = 200000
minSemiaxis = 200000
angle = 0
shape = "One Sector"
# Execute NeighborhoodSelection
arcpy.GANeighborhoodSelection_ga(inPoints, outLayer, pointCoord, maxNeighbors,
minNeighbors, majSemiaxis, minSemiaxis, angle,
shape)
```

## ライセンス情報

- Basic: 次のものが必要 Geostatistical Analyst
- Standard: 次のものが必要 Geostatistical Analyst
- Advanced: 次のものが必要 Geostatistical Analyst