Intersection Difference (Symmetric Difference)
Feature Description
Intersection difference (symmetric difference) refers to performing an intersection negation operation on the source dataset and the overlay dataset. For details, please refer to the Overlay Analysis Introduction.
When using this function, the types of the source dataset and the overlay dataset must be region datasets.
Function Entry
- Toolbox->Vector Analysis Tools->Overlay Analysis->Intersection Difference (Symmetric Difference);
- Spatial Analysis Tab->Vector Analysis->Overlay Analysis->Intersection Difference (Symmetric Difference);
Parameter Description
- Source Dataset: Select the source dataset and its datasource for performing the "symmetric difference" operation.
- Overlay Data: Select the dataset and its datasource to perform the "symmetric difference" operation with the source dataset.
- Tolerances: After the overlay operation, if the distance between two nodes is less than this value, the two nodes will be merged. The default value of this tolerance is the default fuzzy tolerance of the clipped dataset, which can be set under Tolerances > Fuzzy in the Vector Dataset tab of the Dataset Properties dialog box.
If the fuzzy tolerance is not set in the Dataset Properties, the default tolerance here is related to the coordinate system of the dataset. For details, please refer to the Tolerance Description.
- Result Data: Select the datasource to store the result dataset and specify the name of the result dataset.
- Reserved Fields: Select fields from the source dataset and the overlay dataset as the fields of the result dataset.
- Keep All Source Data Fields: Check the checkbox to retain all fields from the source data. If the source data and the overlay data have fields with the same name, the field name from the source data in the result dataset will be "Field Name_1", and the field name from the overlay data will be "Field Name_2".
- Keep All Overlay Data Fields: Check the checkbox to retain all fields from the overlay data. If the source data and the overlay data have fields with the same name, the field name from the source data in the result dataset will be "Field Name_1", and the field name from the overlay data will be "Field Name_2".
Notes:Before performing the overlay analysis, please ensure that the projections of the data being operated on are consistent; otherwise, the overlay analysis may fail.
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