Generalizer

Transforms or measures geometry features based on a specified algorithm.

There are four types of algorithms:

  • Generalizing algorithms: Reduce the density of coordinates by removing vertices.
  • Smoothing algorithms: Determine a new location for each vertex.
  • Measuring algorithms: Calculate the location of points, and return a list of these points (for example, to measure the sinuosity of a feature).
  • Fitting algorithms: Replace the original geometry completely, with a new feature fitted to a specified line (for example, to minimize the orthogonal distance to the original).

Output Ports

Parameters

Each numeric parameter may be entered as a number or taken from the value of a feature attribute by selecting the attribute name from the pull-down list.

Algorithm

Parameters

Deveau Parameters

McMaster\Inflection Point Parameters

NURBfit Parameters

Usage Notes

Null geometries that are input will be output unchanged.

To maintain topologies that involve other features while generalizing, consider using the SherbendGeneralizer transformer.

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.

FME Licensing Level

FME Base edition and above

Transformer History

This transformer replaces the AreaGeneralizer, AreaSmoother, LineGeneralizer and LineSmoother.

FME Community

The FME Community is the place for demos, how-tos, articles, FAQs, and more. Get answers to your questions, learn from other users, and suggest, vote, and comment on new features.

Search for samples and information about this transformer on the FME Community.

Keywords: abstraction "line thinning" "line thin"simplification simplify spike weeding NURBfit Wang Measure fit regression LineGeneralizer AreaGeneralizer AreaSmoother LineSmoother