Infotech'sSpatial COnflation Tool

1. Infotech’s Spatial Data Conflation Capabilities Vision | Delivering innovative solutions together for a better future

3. Examples – Before & After

4. About TruShift

5. Reduced ‘Round Trip’ risk

6. Infotech’s Solution Overview

7. High-level process

8. Pre-Conflation

9. Conflation

10. Post-Conflation

11. Implementation Strategy – Block Life Cycle

12. Capability Growth

14. Typically, there are three cases where the positional accuracy improvement is required. They are:

15. Existing landbase is replaced with the most recent version

16. Existing landbase is updated to incorporate the latest changes

17. Fix placement errors in the already mapped network dataConflation Services Landbase Conflation Network Conflation

18. Example-1: Spatially Inaccurate Landbase Target Landbase Spatial shift between real world and existing location Control Vectors Old Landbase Control points between old and target landbase Old Landbase and Network Data with Imagery Landbase and Network with Imagery after Conflation

19. Example-2: Spatially Inaccurate Landbase with Lot lines Spatial Shift between real world and existing location Target Landbase Control Vectors Old Landbase Control points between old and target landbase Old Landbase and Network Data with Imagery Landbase and Network with Imagery after Conflation

20. Example-3: Spatially Inaccurate Landbase with Lots &Cul-de-sac Target Landbase Spatial shift between real world and existing location Control Vectors Mismatch locations Mismatch areas with Imagery Old Landbase Old Landbase and Network Data with Imagery Control points between old and target landbase Landbase and Network with Imagery after Conflation Target landbase with Imagery after correction Target landbase centerline with Imagery

21. Example-4: Spatially Inaccurate Landbase New Landbase Spatial shift between real world and existing location Control Vectors Old Landbase Old Landbase and Network Data with Imagery Control points between old and target landbase Landbase and Network with Imagery after Conflation

23. Customizable to any mapping standards

25. Feature geometries, unique IDs and feature type are extracted from live data into a collection of XML files called the ‘spatial subset’.

26. TruShift manipulates coordinates in the spatial subset until all the job requirements are met.

27. Feature geometries are pushed back into the live data from the spatial subset in a batch process.

28. All the attributes and table linkages are undisturbed.Geometry Pull Geometry Push Spatial Subset TruShift Spatial Conflation Process

29. Infotech’s Solution Overview Output Data Input Data Data Conflation Using TruShift Data Extraction Old Landbase Consolidated Landbase + Spatial Conflated Network Target Landbase Electric Gas Water Infotech’s Intelligent Spatial Shifting Technology Landbase Data Conflation Telecom Network Data Conflation Post-Conflation Validation Quality Assurance

30. Pre-Conflation Activities Topology Cleanup Generating Ticks Matching Unique ID’s Generating Links

31. Conflation Transforming features from source to target location Placing outside control points to read algorithm

32. Post-Conflation Activities Verifying data using synchronized zoom and pan Fixing the defects manually Fixing defects Loading and checking conflated data with pre-conflation data Fixing the defects using automation tools

33. Implementation Strategy – Block Life Cycle Client Server Extract Delta Data and Freeze Batch -1 Data Extraction Data Go-Live Data Transformation Staging Server Live Server XML Export – Online Through Citrix Geometry Update-Online Through Citrix Data Freeze Data Unfreeze

35. Conflation expertise in Utility and Telecom domains

36. Approximately 200 conflation expertsHours of Conflation Service Kerrier Council City of Bradford 2003 2004 2005 2006 2007 2008 2009 2010 Years

38. Greater availability of data and joint initiatives (private and public) providing data sources previously not available, resulting in better data analysis (predictive/preventive), modeling, and data sharing

39. Ability to meet the increasing demand for regulatory compliances

40. Better realization of operational benefits and improved ROI owing to use of applications requiring higher level of spatial accuracy

41. Ability to support changing business requirements, operations, and technology infrastructure

42. Better leverage of the legacy investments in the existing GIS technology and data including GPS

43. Standardized land base data across the enterprise and application base

44. Long-term view of data maintenance strategy and processes

45. Thank You www.infotech-enterprises.com Version 1.1 29 Oct 2010 © Infotech Enterprises Ltd. 2010. | All logos, trademarks, trade names and graphics used herein are the property of their respective owners