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Presented by Berk Bayer, Northrop Grumman Corporation See more FME World Tour 2014 presentations at www.safe.com/recap2014
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CONNECT. TRANSFORM. AUTOMATE.
Welcome.
Berk Bayer
The Application of Feature Manipulation Engine (FME) to Maintain
Quality Control (QC) over Standardized Spatial Data
Introduction
I am a Data Management Specialist with the Northrop Grumman Corporation working at the Bureau of Land Management National Operations Center (NOC) in Denver, Colorado.
The NOC harvests and maintains standardized spatial data from the twelve administrative states in the Bureau.
Today’s Agenda
Advantages of Data Standardization
FME & Data Quality
Geometry Validator Transformer
Building Geometry Checks
Tester Transformer
Building Attribute Checks
Interpreting The Error Table
Maintaining QC
Advantages of Data Standardization
Data standardization ensures common understanding of content and quality.
Data standardization serves to resolve data anomalies and data conflicts.
Data standardization optimizes resources needed for organizational data calls.
FME & Data Quality
Quality Control (QC) over standardized data:
Improves data integrity.
Builds confidence in critical business decisions.
Builds trust in the organization.
FME helps to develop an effective QC plan.
FME & Data Quality
FME tools provide robust data management capabilities:
Geometry Validator transformer
Tester transformer
Geometry Validator Transformer
As features are harvested from the states, they undergo a geometry validation process:FME attempts to repair any features with null,
degenerate/corrupt or self-intersecting geometries.
An error report is created showing all features and it’s status as passing, repaired, or not repaired.
Building Geometry Checks
Our organization uses a similar outline of the diagram below to validate feature geometry:
Building Geometry Checks
Building Geometry Checks
Building Geometry Checks
Building Geometry Checks
Tester Transformer
Our organization uses the tester transformer to evaluate the attribute integrity of harvested features.
The tester transformer ensures that attribute values meet the established design constructs.
Attributes that violate design considerations are noted in the error report.
Building Attribute Checks
Building Attribute Checks
Building Attribute Checks
Building Attribute Checks
Building Attribute Checks
Building Attribute Checks
Interpreting The Error Table
Maintaining QC
Data is periodically harvested from the states.
Once the data satisfies QC measures, as established by the business/program area, it may be published for external customers.
Thank You!
Questions?
For more information: Berk Bayer (bbayer@blm.gov) Tom Chatfield (tchatfie@blm.gov) Jeff Safran (jsafran@blm.gov) Northrop Grumman Corporation (www.ngc.com) Bureau of Land Management (www.blm.gov)
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