Detect Gaps For Linear Events (Roads and Highways)
摘要
Checks routes on the network for gaps between linear events.
用法
The input Event Layer parameter must be one of the linear event tables registered with the input Network Layer.
The Output Feature Class represents the gaps between linear events.
The Output Feature Class contains the following fields: NetworkName, RouteID, TVD (Temporal View Date), EventLayer, FromMeasure and ToMeasure.
语法
| 参数 | 说明 | 数据类型 |
in_network |
The network containing the linear event features to be checked for gaps. | Feature Layer |
in_event |
The linear event features to be checked for gaps. | Feature Layer |
out_feature |
The output feature class containing lines where there are gaps between events. | Feature Class |
in_tvd (可选) |
The temporal view date for the network. | Date |
in_from_measure (可选) | Defines the lower bound of the portion of the route on which gaps will be detected. | Double |
in_to_measure (可选) |
Defines the upper bound of the portion of the route on which gaps will be detected. | Double |
in_tolerance (可选) |
Tolerance, in LRM (Linear Referencing Method) units, used to compare events on routes. | Double |
代码实例
The following Python window script demonstrates how to use the DetectGapsForLinearEvents function in the immediate mode.
Missing source code file
The following Python script demonstrates how to use DetectGapsForLinearEvents in a stand-alone Python script.
# Name: Detect Measures Out of Range.py
# Description: Convert Roads and Highways Network Layer to Layer and Detect Measures Out Of Range for Events in a file geodatabase
# Requires: Esri Roads and Highways Solution
# Import arcpy module
import arcpy
# Check out any necessary licenses
arcpy.CheckOutExtension("Highways")
# Local variables
network = r"C:\Data\NY_Data.gdb\LRSN_MilePoint"
event = r"C:\Data\NY_Data.gdb\LRSE_Speed_Limit"
gaps_Output = r"C:\Data\Outputs.gdb\Gaps_Output"
# Process: Detect Gap for linear events
arcpy.env.overwriteOutput = 1
arcpy.DetectGapsForLinearEvents_roads(network, event, gaps_Output)