Computes intersections between all input features, breaking lines and polygons wherever an intersection occurs and creating nodes at those locations. Overlapping segments are reduced to one segment before being output.

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Typical Uses

  • Identifying intersections within a dataset
  • Reducing geometry to line segments
  • Intersecting linear features at junctions to create clean topology
  • Cutting overshoots at their intersection
  • Creating points (nodes) at intersections to find likely features

How does it work?

The Intersector takes all input features and compares them to each other. Features are split wherever there is an intersection. Split features receive attributes from intersecting features (a spatial join), and the number of overlaps encountered and segments created is counted.

Intersected segments are output, as well as nodes (point features) placed at the location of each intersection. Optionally, a list attribute can be created which will retain attributes for multiple matches.

Aggregates can either be deaggregated before processing or rejected.


Usage Notes

Choosing a Spatial Transformer

Many transformers can assess spatial relationships and perform spatial joins - analyzing topology, merging attributes, and sometimes modifying geometry. Generally, choosing the one that is most specific to the task you need to accomplish will provide the optimal performance results. If there is more than one way to do it (which is frequently the case), time spent on performance testing alternate methods may be worthwhile.

To correctly analyze spatial relationships, all features should be in the same coordinate system. The Reprojector may be useful for reprojecting features within the workspace.


Input Ports

Output Ports


Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.


Processing Behavior


Feature Holding



FME Community

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Examples may contain information licensed under the Open Government Licence – Vancouver and/or the Open Government Licence – Canada.