The input line features to be simplified.
Output Feature Class
The simplified output line feature class. It contains all fields present in the input feature class. The output line feature class is topologically correct. The tool does not introduce topology errors, but topological errors in the input data are flagged in the output line feature class. The output feature class includes two additional fields, InLine_FID and SimLnFlag, to contain the input feature IDs and the input topological errors, respectively. A SimLnFlag value of 1 indicates that an input topological error is present; a value of 0 (zero) indicates that no input error is present.
Specifies the line simplification algorithm.
The tolerance determines the degree of simplification. You can choose a preferred unit; otherwise, units of the input will be used. The MinSimpTol and MaxSimpTol fields are added to the output to store the tolerance that was used when processing occurred.
Resolve topological errors
This is a legacy parameter that is no longer used. It was formerly used to indicate how topological errors, possibly introduced during processing, were resolved. This parameter is still included in the tool's syntax for compatibility in scripts and models but is hidden from the tool's dialog box.
Keep collapsed points
Specifies whether an output point feature class will be created to store the endpoints of any lines that are smaller than the spatial tolerance. The point output is derived; it will use the same name and location as the Output feature class parameter but with a _Pnt suffix.
Check for topological errors
This is a legacy parameter that is no longer used. It was formerly used to indicate how topological errors, possibly introduced during processing, were handled. This parameter is still included in the tool's syntax for compatibility in scripts and models but is hidden from the tool's dialog box.
Input Barrier Layers
Inputs containing features to act as barriers for simplification. Resulting simplified lines will not touch or cross barrier features. For example, when simplifying contour lines, spot height features input as barriers ensure that the simplified contour lines will not simplify across these points. The output will not violate the elevation as described by measured spot heights.
|Lines Collapsed To Zero Length|
When the Keep collapsed points parameter (collapsed_point_option in Python) is used, an output point feature class is created to store the endpoints of any lines that are smaller than the spatial tolerance of the data.