Presented by Berk Bayer, Northrop Grumman Corporation See more FME World Tour 2014 presentations at www.safe.com/recap2014

1. CONNECT. TRANSFORM. AUTOMATE.
Welcome.
Berk Bayer
The Application of Feature Manipulation Engine (FME) to Maintain
Quality Control (QC) over Standardized Spatial Data

2. 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.

3. 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

4. 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.

5. 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.

6. FME & Data Quality
 FME tools provide robust data management
capabilities:
Geometry Validator transformer
Tester transformer

7. 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.

8. Building Geometry Checks
 Our organization uses a similar outline of the
diagram below to validate feature geometry:

9. Building Geometry Checks

10. Building Geometry Checks

11. Building Geometry Checks

12. Building Geometry Checks

13. 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.

14. Building Attribute Checks

15. Building Attribute Checks

16. Building Attribute Checks

17. Building Attribute Checks

18. Building Attribute Checks

19. Building Attribute Checks

20. Interpreting The Error Table

21. 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.

22. 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)