将空间权重矩阵转换为表 (空间统计)

摘要

用于将二进制空间权重矩阵文件 (.swm) 转换为表。

插图

将空间权重矩阵转换为表工具
Swm 文件可能会转换为 .dbf 表并对其进行编辑。

使用情况

  • 如有必要,此工具允许您编辑空间权重矩阵文件:

参数

标注说明数据类型
输入空间权重矩阵文件

要转换的空间权重矩阵文件 (.swm) 的完整路径名。

File
输出表

要创建的表的完整路径名。

Table

arcpy.stats.ConvertSpatialWeightsMatrixtoTable(Input_Spatial_Weights_Matrix_File, Output_Table)
名称说明数据类型
Input_Spatial_Weights_Matrix_File

要转换的空间权重矩阵文件 (.swm) 的完整路径名。

File
Output_Table

要创建的表的完整路径名。

Table

代码示例

ConvertSpatialWeightsMatrixtoTable 示例 1(Python 窗口)

以下 Python 窗口脚本演示了如何使用 ConvertSpatialWeightsMatrixtoTable 函数。

import arcpy
arcpy.env.workspace = "c:/data"
arcpy.stats.ConvertSpatialWeightsMatrixtoTable(
    "euclidean6Neighs.swm", "euclidean6Neighs.dbf")
ConvertSpatialWeightsMatrixtoTable 示例 2(独立脚本)

以下独立 Python 脚本演示了如何使用 ConvertSpatialWeightsMatrixtoTable 函数。

# Create a Spatial Weights Matrix based on Network Data.

# Import system modules.
import arcpy

# Set property to overwrite existing output.
arcpy.env.overwriteOutput = True

# Local variables...
workspace = r"C:\Data\USCounties\US"

# Set the current workspace (to avoid having to specify the full path to the 
# feature classes each time).
arcpy.env.workspace = workspace

# Create Spatial Weights Matrix.
# Process: Generate Spatial Weights Matrix... 
swm = arcpy.stats.GenerateSpatialWeightsMatrix(
    "USCounties.shp", "MYID", "euclidean6Neighs.swm", "K_NEAREST_NEIGHBORS",
    "#", "#", "#", 6) 

# Dump Spatial Weights to Database Table.
# Process: Convert Spatial Weights Matrix to Table...       
dbf = arcpy.stats.ConvertSpatialWeightsMatrixtoTable(
    "euclidean6Neighs.swm", "euclidean6Neighs.dbf")

# Now you can edit the spatial weights (add, subtract and alter
# neighbors and weights).

# Read weights from table back into Spatial Weights Matrix format.
# Process: Generate Spatial Weights Matrix... 
swm = arcpy.stats.GenerateSpatialWeightsMatrix(
    "USCounties.shp", "MYID", "euclidean6Neighs.swm", "CONVERT_TABLE", "#",
    "#", "#", "#", "#", "#", "euclidean6Neighs.dbf")

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