Layer clipping is a process of extracting feature parts (points, lines, or regions) from a source dataset (the clipped dataset) using an overlay dataset (the clip dataset). For details about the Clip operator, please see Overlay Analysis Operators.
Instructions
- The clip dataset must be a region dataset. The clipped dataset can be a point, line, or region dataset.
- In the clipped dataset, only the objects falling within polygons in the clip dataset will be output to the result dataset.
Function Entrances
- Click Spatial Analysis > Vector Analysis > Overlay Analysis > Clip.
- Toolbox > Vector Analysis > Overlay Analysis > Clip.
Parameter Description
- Source Data : Select the clipped dataset.
- Overlay Dataset : Select the clip dataset.
- Result Settings : Select the datasource of the result dataset and specify the name of the result dataset.
- Tolerance : After an overlay analysis, if the distance between two nodes is less than this value, the two nodes will be snapped together. The default value of this tolerance is the node tolerance value of the clipped dataset (this value is set in the node tolerance item in the dataset tolerance setting under the Vector Dataset tab in the Dataset Attributes dialog box).
The default tolerance value is related to the coordinate system of the dataset. For details, please see Tolerance Introduction.
- Compare Results : If the check box is checked, the clipped dataset, the clip dataset, and the result dataset will all be displayed in a new map window for the user to compare.
- Keep Single Object : If a line is in an overlap of multiple region objects or overlaps with the borders of multiple region objects, checking the parameter means only one object will be returned. Otherwise, multiple objects will be returned.
- Supports Self-overlapping Region : Self-overlapping regions are polygons that overlap with each other. The function uses a new algorithm to perform the overlay analysis on overlaps and keeps all attributes and areas.
Notes
Before overlay analysis, please make sure that your data is consistent with the projection information.