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MRF2DGeneralizer

Removes a number of vertices from lines. The number of vertices removed is controlled by a weeding tolerance, which will be either (Filter Factor * Cleaning Tolerance) or (Filter Factor * value of Feature Tolerance Attribute). The latter is always used when it is valid and the Feature Tolerance attribute is specified. The larger the weeding tolerance, the more vertices will be removed.

Each feature that is output through the Cleaned port will have a new attribute "mrf_clean_status" added to specify whether the feature was modified, created, or unchanged in the cleaning process. The possible values of this attribute are "Modified", "Created" and "Original".

Output Ports

ClosedCleaned

Each feature that is output through the Cleaned port will have a new attribute "mrf_clean_status" added to specify whether the feature was modified, created, or unchanged in the cleaning process. The possible values of this attribute are "Modified", "Created" and "Original".

Parameters

Transformer

ClosedGroup By

If selected, each group of features with the same values in the Group By attributes will be processed separately from other groups.

ClosedParallel Processing

Note: How parallel processing works with FME: see About Parallel Processing for detailed information.

This parameter determines whether or not the transformer should perform the work across parallel processes. If it is enabled, a process will be launched for each group specified by the Group By parameter.

Parallel Processing Levels

Parameter Number of Processes
No Parallelism 1
Minimal coresThe processor, or CPU, is the physical part of the computer that performs mathematical calculations. It is the most important part of a computer system. Traditional processors have only one core on the processor, meaning that at any given time, only one set of calculations is being performed. If a processor is dual-core, this means the single chip contains hardware for two processors, now called cores to distinguish them from the single chip, running simultaneously, side by side. (Source: http://www.ehow.com/facts_5730257_computer-core-processors_.html) / 2
Moderate exact number of cores
Aggressive cores x 1.5
Extreme cores x 2

For example, on a quad-core machine, minimal parallelism will result in two simultaneous FME processes. Extreme parallelism on an 8-core machine would result in 16 simultaneous processes.

You can experiment with this feature and view the information in the Windows Task Manager and the Workbench Log window.

ClosedInput Ordered

No: This is the default behavior. Processing will only occur in this transformer once all input is present.

By Group: This transformer will process input groups in order. Changes on the value of the Group By parameter on the input stream will trigger batch processing on the currently accumulating group. This will improve overall speed if groups are large/complex, but could cause undesired behavior if input groups are not truly ordered.

Parameters

ClosedCleaning Tolerance

Cleaning tolerance is used as the default tolerance unless the Feature Tolerance Attribute is specified and valid. The minimum tolerance allowed is 0.0.

ClosedFeature Tolerance Attribute

The number of layers used in cleaning the data is determined by the number of different tolerance values of input features. Features that have the same tolerances are processed as being on the same layer.

ClosedFilter Factor

The default value of Filter Factor is 1.0 and the minimum value is 0.0.

Usage Notes

This transformer performs the same operation as the MRF2DCleaner with the Generalize Lines parameter set to Yes and no other options selected. See the MRF2DCleaner for more details.1Portions of this work are the intellectual property of the MRF Geosystems Corporation and are used under license. Copyright © 2006 MRF Geosystems Corporation. All rights reserved.

FME Licensing Level

The MRFCleaner transformers are available as an extra-cost package from Safe Software. Please contact sales@safe.com or call 604-501-9985.

Related Transformers

MRF2DConflator

MRF2DDangleRemover 

MRF2DDuplicateRemover

MRF2DExtender

MRF2DIntersector

MRF2DJoiner

MRF2DShortGeometryRemover

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.

Transformer Categories

Data Quality

Integrations

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