Intersection Difference (Symmetric Difference)

Instructions for use

Intersection Difference (Symmetric Difference) refers to the negation of the intersection of the Source Dataset and the Overlay Dataset. Please refer to the Introduction to Overlay Analysis for details.

When using this feature, the Source Dataset and Overlay Dataset must be of type Region Dataset.

Function entrance

  • Toolbox-> Vector Analysis Tools-> Overlay Analysis-> Intersection Difference (Symmetric Difference);
  • Spatial Analysis tab-> Vector Analysis-> Overlay Analysis-> Intersection Difference (Symmetric Difference);

Parameter Description

  • Source data: Select the Source Dataset and its Datasource for "symmetric difference".
  • Overlay Data: Select the Dataset and its Datasource for "symmetric difference" with the Source Dataset.
  • Result Dataset: Select the Datasource where the Result Dataset is stored. Specify the name of the Result Dataset.
  • Field Settings: Select Field from Source Dataset and Overlay Dataset as Select Fields of Result Dataset. Click the OK button to save the selected Select Fields in the Result Dataset.
  • Tolerance: After the superposition operation, if the distance between two nodes is less than this value, the two nodes will be merged. The default value of this value is the Fuzzy default value of the Clip Dataset. This value can be set in Fuzzy under Tolerances in the Vector Dataset tab of the Dataset Properties dialog box.

    If Fuzzy is not set in the Dataset Properties, the tolerance defaults here are relative to the Dataset's coordinate system, as described in the Tolerance description .

  • Keep All Source Data Fields: Select the check box to keep all source data fields. If the source data and the Overlay Data have the same name, the field name from the source data in the Result Dataset is "field name _ 1", and the field name from the Overlay Data is "field name _ 2".
  • Keep All Overlay Data Fields: Select the check box to keep all Overlay Data fields. If the source data and the Overlay Data have the same name, the field name from the source data in the Result Dataset is "field name _ 1", and the field name from the Overlay Data is "field name _ 2".
Caution:
Before

performing Overlay Analysis, please ensure that the data Projection of the operation is consistent, otherwise it may lead to superimposed Analysis failed.

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