The Property Parcel Puzzle. Presented by: Rob Gerry Manitoba Hydro

Transcription

1 The Property Parcel Puzzle Presented by: Rob Gerry Manitoba Hydro

2 Manitoba Hydro Crown corporation founded in 1961 with 15 interconnected generating stations. More than 527,000 electric power customers and more than 263,000 natural gas customers Electric & Gas utility Location staff working across the province Employees ~6200 Esri users since early 2000 s

3 In the Beginning

4 The Dream

5 The Reality

6 Transmission Operations Construction

7 Power Supply Planning Construction

8 Distribution Construction Operations

9 Planning, Design & Operations

10 Stations

11 Extreme Weather

12 Disaster Management

13 Flood Events

14 Vegetation Management

15 Solving the Puzzle Good familiarity with the data General idea of what we wanted to end up with We knew we wanted a process that was sustainable GDS staff involvement, expertise with ESRI, FME, Python

16 System Environment ESRI ArcSDE Advanced w/ Sql Server Safe Software Feature Manipulation Engine Python 2.5/2.6

17 The Plan Plan A Have a legal survey grade parcel fabric created Plan B Wait for someone else to create it Plan C Collaborate with other agencies to have it Plan D Do it ourselves

18 Create something to build on Mash up the best available datasets to create a seamless parcel fabric

19 Good Luck - Missing Data - Overlaps - Gaps

20 Bigger Blender -Inconsistent Parcel Attribution -Missing Class for boundary line work -Projections & Format (CAD and Shape) -Arc Detection -Distance and Bearing Information -Spatial Hierarchy and Integration

21 Industrial Size

22 Project Scope Design, develop and document an integrated cadastral data model using 4 sources of data Design, develop and document integration tools that update and integrate data from the 4 sources of data to the new integrated property parcel data model Delivery of the finalized integrated property parcel fabrics (DGS & Parcel fabric)

23 CPJ Improve accuracy of the property parcel data with GIS systems Improve customer relations Improve safety Improve employee productivity Time Savings

24 RFP Data Inventory & GAP Analysis Logical and Physical Model Design Design a REPEATABLE solution Build FME Workspaces Create the Parcel Fabric(s) Quality Assurance Evaluation Criteria

25 RFP Evaluation Proposal Qualifications Experience References Schedule Price RFP awarded Jan to Martin Newby Consultants

26 Project Team GDS - Rob Gerry, Arch Csupak, Sarah Wach, Danielle Kerr, Erinn Jones MNC Wendy Amy, Don Kitchener, Ellen Styner Esri Dave Horwood, Justin Avery and many more Transmission - Ed Tymofichuk, Shane Mailey, Ron Smith TGIS Steering Committee Wes Mueller, Quinn Menec, Joel Wortley, Domenic Pellegrino, Chris Boutcher IT support Jason Boitson, Dave Carpenter Stakeholders Property - Heather Thomson, John McLean TLAS Derek Acres

27 Schedule

28 What is a Parcel Fabric?

29 Manitoba Hydro

30 What is a Parcel Fabric? Integrated GIS Parcel Fabric

31 ESRI Parcel Fabric Model Logical Model Point Line Polygon Relationships

32 GAP Analysis Consolidating/Creation of Parcel Attribution Missing Class for boundary line work Projections & Format (CAD and Shape) Arc Detection Distance and Bearing Information Spatial Hierarchy and Integration Data Gaps Extend Parcel Fabric Data model

33 Creation of Parcel Attribution Manitoba Hydro Internal CAD data

34 Class for boundary line work Plan Block Lot

35 Circular Arc Reconstruction Surveyed Boundaries Natural Boundaries

36 Distances and Bearings

37 Spatial Integration

38 Spatial Integration

39 Data Gaps No Available Data

40 Extend Data Model

41 Repeatable Work Flow

42 Managing the Work Flow

43 20 Unique FME Workspaces

44 Merging Data Sources Remove areas from original township fabric for newer mapped areas Linework was not coincident Conflate Rotate and shift Remove slivers

45 Adjustor (Conflation)

46 Eraser

47 Snappers Canada Lands Manitoba Hydro Prov MB

48 Building Staging Geodatabases Recreate true arcs Create polygons topologically unclean (MH data) and detailed data (Winnipeg data) > Size of dataset: 900km 2 (90,000 ha) > Width of smallest valid parcel: 0.3m Create topology information Remove duplicated parcels Annotation Create annotation and leader lines

49 Creating Arcs from stroked lines

50 Duplicate Parcels Delete Redundant Parcels

51 Builders Staging File Geodatabase Structure

52 Annotation and Lead Line

53 Access Database List of workspaces and their order List of all datasets and associated parameters Control vectors for conflation Maintains date of each dataset and workspace last run Maintains overall process statistics Date Processing time Polygon counts

54 Python Control Script Read MSAccess database Runs all Workspaces required for the dataset with all parameters Enables end user to choose a single, multiple or all datasets to be updated Updates the database with run statistics

55 Fabric Load Processing

56 Staging to Fabric Processing

57 We have success Deliverables: GAP Report Logical and Physical Model Reports Tools, Control program & Documentation Parcel Fabric 10 month Completion Schedule On budget On-site deployment & customer training

58 Parcel Fabric

59 Parcel Fabric & 20k Hydrography

60 Parcel Fabric, 20k Hydrography, Roads, Rails

61 Coverage Polygons Source Datum realization High plan No. Accuracy Version Publication Date

62 The Dream is realized

63 ESRI Parcel Editor Parcel fabrics Assessment information Ownership records Land use Zoning Caveats, interests, encumbrances, permits, leases Administrative Boundaries

64 Vertical Integration Coincident geometry

65 Lessons Learned Subject matter experts (internally & externally) Work in partnership Ensure you and your contractor are seeing the same vision Give yourself enough budget and time to define process you want to rely on so it is sustainable Set milestones and push the schedule Be persistent

66 Opportunities/Benefits Coordination between parcel mapping agencies Leverage what the land survey community has already developed Build upon the best available data Cost sharing on maintenance All parties working on same base Cross training experience Cost sharing opportunities on new fabric Digital Plan submission

67 Additional Benefits GIS provided the framework data model and provided means to automate as much of the process as possible Without using an integrated approach utilizing gis/ python/fme this endeavor would not have been possible Homogenous data with one schema maintaining reference to the source datasets Data that is ready to be used in GIS for analysis, visualization and modelling

68 Future Plans Integration of survey control layer Fabric refinement Utilize vertical integration functionality Add new sources of fabric into the process to evolve the fabric

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70 MH Extended Attributes MH Extended Attributes

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76 Thank You