摘要
将二进制空间权重矩阵文件 (.swm) 转换为表文件。
插图
用法
语法
ConvertSpatialWeightsMatrixtoTable_stats (Input_Spatial_Weights_Matrix_File, Output_Table)
参数 | 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
将空间权重矩阵转换为表示例(Python 窗口)
以下 Python 窗口脚本演示了“将空间权重矩阵转换为表”工具的使用方法。
import arcpy
arcpy.env.workspace = "c:/data"
arcpy.ConvertSpatialWeightsMatrixtoTable_stats("euclidean6Neighs.swm","euclidean6Neighs.dbf")
将空间权重矩阵转换为表示例(独立 Python 脚本)
以下独立 Python 脚本演示了“将空间权重矩阵转换为表”工具的使用方法。
# Create a Spatial Weights Matrix based on Network Data
# Import system modules
import arcpy
# Set property to overwrite existing output
arcpy.arcpy.overwriteOutput = True
# Local variables...
workspace = r"C:\Data\USCounties\US"
try:
# 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.GenerateSpatialWeightsMatrix_stats("USCounties.shp", "MYID",
"euclidean6Neighs.swm",
"K_NEAREST_NEIGHBORS",
"#", "#", "#", 6)
# Dump Spatial Weights to Database Table
# Process: Convert Spatial Weights Matrix to Table...
dbf = arcpy.ConvertSpatialWeightsMatrixtoTable_stats("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.GenerateSpatialWeightsMatrix_stats("USCounties.shp", "MYID",
"euclidean6Neighs.swm",
"CONVERT_TABLE",
"#", "#", "#",
"#", "#", "#",
"euclidean6Neighs.dbf")
except arcpy.ExecuteError:
# If an error occurred when running the tool, print out the error message.
print(arcpy.GetMessages())
环境
许可信息
- ArcGIS Desktop Basic: 是
- ArcGIS Desktop Standard: 是
- ArcGIS Desktop Advanced: 是