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Use of Conflation Software in US Census Bureau's TIGER Coordinate Correction Process

Prepared for ESRI User Conference 2003 Prepared by Bernard Catalinotto Geo-Information Services, JV Alexandria, VA July 10, 2003. Use of Conflation Software in US Census Bureau's TIGER Coordinate Correction Process. Conflation Tools in TIGER Correction Process Overview. Background

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Use of Conflation Software in US Census Bureau's TIGER Coordinate Correction Process

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  1. Prepared for ESRI User Conference 2003 Prepared by Bernard Catalinotto Geo-Information Services, JV Alexandria, VA July 10, 2003 Use of Conflation Softwarein US Census Bureau's TIGER Coordinate Correction Process

  2. Conflation Tools in TIGER Correction ProcessOverview • Background • What is Conflation? • What is MapMerger? • Standard Approach • Creative Approach • Results & Next Steps

  3. Initial and Major Programs TIGER Coordinate Correction • Initial Programs • Census R&D – 77 Counties • Geo-Serv Contract – 190 Counties • Major Program • MTAIP/Harris Corp – 3000+ Counties

  4. Task 4/Geo-Serv ProjectCoordinate Correction Process • Data Preparation (Local File) • Coordinate Correction • Geo-Serv QC & Final Fix • Census QC • Upload into TIGER DB

  5. Task 4/Geo-Serv ContractCoordinate Correction Tasks Step 1 Conflate TIGER to Local file • Match all matchable features Step 2 Find and Fix • Flag issues, resolve, fix, flag action Step 3 Prepare Deliverables • Re-format • Prepare QC Reports • Run QC programs • Perform 100% Visual Check

  6. What is Conflation? • Combine 2+ files -- create RESULTS file • includes best aspects of each file • RESULTS file • Source file attributes…..”Brains from TIGER” • Target file graphics…….”Beauty from Local” • Differences are resolved • Rubber-sheet unmatched source features (“Orphans”)

  7. What is MapMerger? ArcMap extension for automated conflation • Automatic Match • 70% to 95% of the features automatically one-to-one matched • Match editing tools • for manually editing the results of automatic matching • Creates conflated data set

  8. Conflation using MapMerger • Node match • Line match • Transfer attributes • Creates conflated data set

  9. Conflation - Vendor 1 (EarthData)Standard Approach Node match • Match by layer • 45 meters; visual check; fix errors • 60 meters; visual check; fix errors Line match • Match; visual check; fix errors MapMerger Goal • 80-90% of all possible matches

  10. MapMerger -- NODE MATCH – Automatic Results

  11. MapMerger – LINE MATCH -- Automatic Results

  12. MapMerger Manually Edit Line Match Results

  13. Conflation in MapMerger - Vendor 2 (Pixxures)Creative Approach [Note: Skip Node match] 1. Start with Auto Line match • 1 meters; check no errors • 2 meters; check no errors • Stop when encounter errors -- usually around 7 meters 2. Manual Line match 3. QC/fix in MapMerger • Run Census/Geo-Serv/Custom QC programs • Fix errors, rerun conflation in MapMerger • After MapMerger • Minor QC/fix; prepare deliverables

  14. Results & Next Steps • Results • Efficient use of conflation software & ESRI GIS technologies • Next Steps • All three vendors making substantial contributions to program success • Goal: Complete 190 counties by 9/30/03

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