将空间权重矩阵转换为表 (空间统计)
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 the geoprocessor object property to overwrite existing output arcpy.gp.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: # If an error occurred when running the tool, print out the error message. print arcpy.GetMessages()
相关主题
7/10/2012