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The Design of a Framework and Associated Tools to Facilitate the Integration of Multi-sourced Built and Natural Datasets within National SDI Initiatives.

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Presentation on theme: "The Design of a Framework and Associated Tools to Facilitate the Integration of Multi-sourced Built and Natural Datasets within National SDI Initiatives."— Presentation transcript:

1 The Design of a Framework and Associated Tools to Facilitate the Integration of Multi-sourced Built and Natural Datasets within National SDI Initiatives Submitted by: Hossein Mohammadi Supervisors: Dr Abbas Rajabifard Prof Ian Williamson May 2006 PhD Confirmation

2 Geomatics Department-Melbourne University 2 of 36 Acknowledgement Uni Melb, Dept. Geomatics Research Partners of ARC-Linkage project on Integration (DSE, DoL, GA) WA and PSMA

3 Geomatics Department-Melbourne University 3 of 36 Acknowledgement Confirmation Panel Prof Ian Bishop Prof Ian Williamson Dr Abbas Rajabifard Ms Jude Wallace

4 Geomatics Department-Melbourne University 4 of 36 Presentation Outline Introduction Overview Problem Hypothesis Aim Objectives Background Integration Issues Integration and Interoperability Research Design Progress To-date Time Table Overall Thesis Structure

5 Geomatics Department-Melbourne University 5 of 36 Introduction

6 Geomatics Department-Melbourne University 6 of 36 Definition Data Integration The integration is not only to geometrically and topologically match data, and having the correspondence of attributes, but also the establishment of all legal, policy, institutional and social mechanisms in order to facilitate the integration of data.

7 Geomatics Department-Melbourne University 7 of 36 Overview Spatial Technology is growing dramatically Citizens and governments are recognizing the value of “Spatially- enabled” Societies Demands are growing among Broader Range of SI Users towards more value- added spatial products & services

8 Geomatics Department-Melbourne University 8 of 36 Overview Sustainable Development through its Social, Economical and Environmental objectives & Governance is not achievable unless there is the ability to monitor the Impacts of Human Activities on the Environment. Sustainable Development

9 Geomatics Department-Melbourne University 9 of 36 Overview SDI development and progress to-date (Evolving) SDIs aims to Facilitate Access, Sharing and Use of spatial data and services by a broad range of users (SI specialists, governments, citizens,…) But

10 Geomatics Department-Melbourne University 10 of 36 Problem Inconsistencies, heterogeneities, interoperability, vertical integration, legal, institutional, policy and social issues hinder effective data integration of built and natural datasets. Land-Use Cadastre Transportation Topography Satellite Image Utility GPS Network DEM Pilot Area

11 Geomatics Department-Melbourne University 11 of 36 Problem Emergency management Land Administration Navigation Services Utility management Urban Planning Environmental Protection …

12 Geomatics Department-Melbourne University 12 of 36 Scenario 1 Nationally consistent data (PSMA’s Experience) Inconsistencies in Data Model, Metadata, Standards, Specifications, Collaboration Model, and IP issues in Victoria, NSW, GA, … G-NAF CadLite Transport and Topography Admin Boundaries Points of Interest IDM

13 Geomatics Department-Melbourne University 13 of 36 Scenario 2 Hazard management, Tsunami (EICU’s Experience) Utilities Bathymetry Buildings Data Critical Infrastructures Datasets: Cadastre Access Network Underground Features … Gaps of Data, No Vertical Topology, Currency, Collaboration, Data Exchange Policy,… BathymetryBuilding Data CadastreUtilities Created and Owned by Users NO Nation-wide Data NO Metadata Data Barely Exists Not Completely Fits to Utility and Access Network Privacy Poor Attribution Restrict Privacy Different Custodians

14 Geomatics Department-Melbourne University 14 of 36 Problem Despite the growth in spatial technology and the development of SDIs to facilitate the sharing, access and use of spatial datasets, the integration of multi-sourced datasets of the built and natural environments, is not being achieved effectively from both technical and non- technical perspectives.

15 Geomatics Department-Melbourne University 15 of 36 Hypothesis The development of a framework and an improved data model focussing on both technical and non-technical aspects of data integration within the context of a National SDI will facilitate more effective integration of built and natural environmental datasets.

16 Geomatics Department-Melbourne University 16 of 36 Aim This research aims to develop a framework, and integration data model together with associated tools to facilitate the integration of built and natural environmental datasets (in particular cadastral and topographical data) in the context of National SDI initiatives.

17 Geomatics Department-Melbourne University 17 of 36 Objectives 1.Investigate and understand the problems and issues in integrating multi-sourced datasets in National SDIs within Australia and related International case study countries. 2.Identify barriers and criteria for data integration 3.Develop a framework and guidelines for the integration of built and natural environmental datasets. 4.Develop an integration data model and associated tools (eg web-service) for the integration of built and natural environmental datasets. 5.Test the framework, data model and tools through the development of a prototype. 1.Investigate and understand the problems and issues in integrating multi-sourced datasets in National SDIs within Australia and related International case study countries. 2.Identify barriers and criteria for data integration 3.Develop a framework and guidelines for the integration of built and natural environmental datasets. 4.Develop an integration data model and associated tools (eg web-service) for the integration of built and natural environmental datasets. 5.Test the framework, data model and tools through the development of a prototype.

18 Geomatics Department-Melbourne University 18 of 36 Background Overview Built and Natural Datasets BuiltNatural Cadastre Utilities Points of Interests Transport Addresses Planning Geodetic Network … Topography Water Bodies/Hydrography Vegetation Biodiversity (Flora and Fauna) Environmental Imagery..

19 Geomatics Department-Melbourne University 19 of 36 Background Overview Spatial data integration issues Technical Legal Policy Institutional Social

20 Geomatics Department-Melbourne University 20 of 36 Integration Issues Social Issues Cultural Issues Historical Issues Capacity Building and Raising Awareness

21 Geomatics Department-Melbourne University 21 of 36 Integration Issues Institutional Issues Collaboration Funding Model Business Model Awareness of Data Integration and Proper Data

22 Geomatics Department-Melbourne University 22 of 36 Integration Issues Policy Issues Major Policy Drivers (eg Sustainable Development, Counter Terrorism, Environment) Legislation Pricing

23 Geomatics Department-Melbourne University 23 of 36 Integration Issues Legal Issues Rights, Restrictions and Responsibilities on Data Intellectual Property Rights (IP/Copyright) Licensing Access and Privacy Integrated Data{RRR(ID), IP(ID), …} = Data1{RRR(1), IP(1), …} + Data2{RRR(2), IP(2), …} + … + Data n{RRR(n), IP(n), …} Data 1Data 2Data n Integrated Data

24 Geomatics Department-Melbourne University 24 of 36 Integration Issues Technical Issues Data Model Interoperability Standards and Specifications Vertical Topology (Across Layers) Coordinate System Format Metadata Data Quality (Currency, Logical Consistency, Accuracy, …) Geometry

25 Geomatics Department-Melbourne University 25 of 36 Technical Issues Data Model (Feature Type as a Class or as an Attribute: Roads) NSW’s Data Model Harmonized Data Model (ICSM) Integrated Data Model (PSMA)

26 Geomatics Department-Melbourne University 26 of 36 Technical Issues There are at least seven sources of road centre line in Victoria with the different road alignments and mis-matched road names.

27 Geomatics Department-Melbourne University 27 of 36 Technical Issues Feature Level and Theme Level Metadata NSW: Feature Level Victoria, GA: Theme Level (ANZLIC Guidelines)

28 Geomatics Department-Melbourne University 28 of 36 Data Integration Integration and Interoperability Interoperability is the ability of a system or a product to work with other systems or products without special effort on the part of the customer Effective Data Integration Needs Interoperability in Different Dimensions Policy Interoperability Institutional Interoperability Social Interoperability Legal Interoperability Technical Interoperability

29 Geomatics Department-Melbourne University 29 of 36 Research Design Step 2 Step 3 Step 4 Step 5 Step 1Literature Review and Strategy Development Case Studies Investigation Case Study, Tools and User Needs Analysis Framework/Tools Development and Validation Documentation of Results

30 Geomatics Department-Melbourne University 30 of 36 Research Design Step 2 Step 3 Step 4 Step 5 Step 1Literature Review and Strategy Development Case Studies Investigation Case Study, Tools and User Needs Analysis Framework/Tools Development and Validation Documentation of Results National International SDI and its Components, SDI Hierarchy, Organizational Behaviour (Related to Data Integration), Built and Natural Environmental Datasets, Applications, Characteristics, Technical and Non-technical Issues, Spatial data Integration and Interoperability at different levels Australian Case study State and national organization visits (Vic, NSW, GA, PSMA) Short-Term projects Technical assessment of built and natural datasets integration using Victoria and GA datasets Technical assessment of built and natural datasets integration of NSW and GA datasets Geo-webservice requirements for data integration (in progress) Ongoing ARC-Linkage/ PCGI-AP

31 Geomatics Department-Melbourne University 31 of 36 Progress To-date Some Early Findings of Case Studies Different agencies are at different levels of maturity in database management and collaborations Cadastral data model is time-variant in contrary to topographic data model Different data models are used by different jurisdictions Content of metadata is not adequate for proper integration & Feature level metadata is more efficient rather theme-based metadata

32 Geomatics Department-Melbourne University 32 of 36 Progress To-date Some Early Findings of Case Studies Diversity and inconsistencies in specifications, feature categorizing, standards and topology, format, precision, currency, coordinate system, IP, pricing and privacy, etc. Social characteristics do play a key role in sharing and integrating data

33 Geomatics Department-Melbourne University 33 of 36 Progress To-date Publications and Presentations Mohammadi H, Rajabifard A., Binns A., Williamson, I.P. (2006), “Bridging SDI Design Gaps with Facilitating Multi-source Data Integration”, Coordinates, May 2006 Mohammadi H, Rajabifard A., Binns A., Williamson, I.P., National SDI Framework to Facilitate Multi-source Data Integration, (in progress) for ISI journal Presentation on “ The Integration of Built and Natural Environmental Datasets Within NSDI”, Workshop on the Launch of Project, September 2005, Melbourne Presentation on “ The Integration of Built and Natural Environmental Datasets Within NSDI”, Department of Sustainability and Environment (DSE), October 2005, Melbourne Presentation on “ The Integration of Built and Natural Environmental Datasets Within NSDI”, Land Admin Lecture Series, March 2006 Conferences and Seminars Attended Meeting International Experts and Research Discussion

34 Geomatics Department-Melbourne University 34 of 36 Time Table Activity Literature Review Case Study Visits and Analysis Confirmation report Data Model Analysis Geo-WebService Analysis Data Model Development Integration Geo-WebService Development Framework Development Thesis Writing Thesis Submission International Workshop

35 Geomatics Department-Melbourne University 35 of 36 Overall Thesis Structure Chapter 1IntroductionStatement of Research Problems, Aims, Hypothesis and Objectives Chapter 2Spatial Data Infrastructures and Related Concepts and Theory SDI and its Components, SDI Hierarchy, Organizational Behaviour (Related to Data Integration) Chapter 3Built and Natural Environmental Data Production, Characteristics and Applications Built and Natural Environmental Datasets, Applications, Characteristics, Technical and Non-technical Issues and Arrangements Chapter 4Spatial Data IntegrationSpatial data Integration and Interoperability at different levels Chapter 5Methodology and Case Studies DesignMethodology Development for National and International Case Studies, Methodology for Analysis and Developments Chapter 6Case Study Projects and AnalysisAnalysis of the Observations, Current Situation, Issues and Problems Chapter 7Framework, Design Criteria and Integration Data Model Development Overall Spatial Integration Framework, Integration Data Model, Integration Geo-webservice Design Chapter 8Prototype Development and TestingDevelopment and Testing Framework, Integration Data Model and Geo-webservice Chapter 9Conclusion and Future DirectionsDiscussion, Recommendation, Conclusion

36 Geomatics Department-Melbourne University 36 of 36 Thanks for your attention

37 Geomatics Department-Melbourne University 37 of 36 Outcomes An Overall Framework to Address Issues and Problems Integration Data Model

38 Geomatics Department-Melbourne University 38 of 36 Outcomes Integration Geo-webservice Federated Databases (Virtual) Physical Integration Vertical Integration = Cross-thematic topological integrity Horizontal Integration = Same-theme Federated Database DCDB DTDB External Data Interoperability, OGC Standards

39 Geomatics Department-Melbourne University 39 of 36 Overview Cadastral and Topographic Data Characteristics CadastralTopographic ScaleLarge - MediumMedium - Small CustodianState/Local Governments National Mapping Agencies to Councils Different Levels within Jurisdictions Data ModelTime-variantNot Time-variant Not Child-parent Hierarchy CoordinatesDistance and Angle of CoordinatesEasting, Northing LegalRestrict Privacy and IP Issues Free in Small Scales and IP Rights for Large Scales Major UseLegal, FiscalPlanning, Military, Development CurrencyShort Update PeriodLong Update Period

40 Geomatics Department-Melbourne University 40 of 36 Technical Issues Discrepancy of Vector and Raster Data GA: Boundary Victoria: Image

41 Geomatics Department-Melbourne University 41 of 36 Technical Issues Different Specifications and Standards: Railway, Tank Point and Cableway have been Categorized in Topography category in NSW, No Railway Category in NSW DataVictoriaNSWGA File Name No particular category for Tank points (HY-WATER_STRUCT_POINT) Beside watering places and swimming pools TankPointPoint_watertank CategoryHydroTopoFDDrainage

42 Geomatics Department-Melbourne University 42 of 36 Overview Completeness

43 Geomatics Department-Melbourne University 43 of 36 Overview Quantitative Benchmarking Through Indicators Duplication of Effort Heterogeneity among Datasets Number of Disparate Non-interoperable Databases

44 Geomatics Department-Melbourne University 44 of 36 Research Design Step 2 Step 3 Step 4 Step 5 Step 1SDI, Integration and Interoperability Technical assessment of Case Study, Tools and User Needs Analysis Framework/Tools Development and Validation Documentation of Results

45 Geomatics Department-Melbourne University 45 of 36 Progress To-date Conferences and Seminars Attended Spatial Interoperability Demonstration Project (SIDP), June 2005, Melbourne ARC-Linkage Launch Project Workshop, September 2005, Melbourne Simulating Urban Neighbourhood dynamic, August 2005, Melbourne Spatial Information in Victoria, June 2005, Melbourne SSC (Spatial Sciences Institute) Conference, September 2005, Melbourne Expert Group Meeting on Sustainability and Land Administration Systems, November 2005, Melbourne

46 Geomatics Department-Melbourne University 46 of 36 Progress To-date Meeting International Experts and Research Discussion Mr. Mathew Kistler, Federal Office of Topography, Switzerland, 2005 Prof Michael Goodchild, University of California, USA, 2005 Prof Holger Magel, Technical University Munich, Germany, 2005 Prof Paul Van der Molen, ICT, The Netherlands, 2005 Dr. Daniel Steudler, Federal Office of Topography, Switzerland, 2005 Prof Bas Kok, Technical University of Delft, The Netherlands, 2005 Prof Gerrit Pienaar, South Africa, 2005 Prof Ian Masser, United Kingdom, 2006

47 Geomatics Department-Melbourne University 47 of 36 Progress To-date Some Early Findings of Case Studies Different agencies are at different levels of maturity in database management and collaborations Cadastral data model is time-variant in contrary to topographic data model Different data models are used by different jurisdictions Content of metadata is not adequate for proper integration & Feature level metadata is more efficient rather theme-based metadata

48 Geomatics Department-Melbourne University 48 of 36 Progress To-date Some Early Findings of Case Studies Diversity and inconsistencies in specifications, feature categorizing, standards and topology, format, precision, currency, coordinate system, IP, pricing and privacy, etc. Social characteristics do play a key role in sharing and integrating data Virtual data repository is a more proper solution for integration of different systems

49 Geomatics Department-Melbourne University 49 of 36 Background Overview SDI is an initiative to facilitate data sharing and access through the creation of an environment in which all stakeholders can co-operate with each other and interact with technology to better achieve their objectives. Rajabifard et al (2001)


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