SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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with existing institutional arrangements. Therefore, the proposed framework modelled on the hierarchical spatial theory is considered appropriate for building SDI at catchment level. However, the hierarchies in catchment and administrative/political SDI do not align so effective cross-jurisdictional linkages will be required to improve the efficiency of information flows and institutional arrangements. The large number of local government authorities and the disparity of spatial extents and boundaries require new and innovative approaches to manage spatial data across these environments. STATE (Name) 276 CMA (Number) Table 2: Local authorities status with catchment boundaries. Number of LGAs that fall within catchment boundary LOCAL GOVERNMENT AUTHORITIES (LGAs) Number of LGAs that straddle catchment boundary (number) QLD 4 9 29 38 76% NSW 9 30 48 78 62% VIC 5 10 24 34 71% SA 3 4 15 19 79% ACT 1 1 0 1 0% Total 22 54 116 170 7. CONCLUSIONS Total Proportion of LGAs that straddle catchment boundary in each state Spatial data and the development of SDI offer great potential for catchment managers and decision makers. Current SDI initiatives are generally dominated by national mapping agencies and state government organisations and modelled on the existing administrative/political hierarchies. However, catchment management issues do not follow the rules of these hierarchies and are community centric in nature. Therefore, there is a need to re-examine SDI development approaches to accommodate the needs of catchment governance and management. Hierarchy theory holds some promise for building the community-government interaction required for SDIs at various catchment levels such as farm, sub-catchment, catchment and basin level. This framework is complex, having potentially many levels and linkages. The case study of the Murray-Darling Basin illustrates the complexity of the catchment management environment with a large number of local government authorities and a disparity of spatial extents and boundaries. There is no doubt that SDI holds some promise in solving these complex data management problems and can contribute the final goal of delivering improved catchment management outcomes. ACKNOWLEDGEMENTS The authors wish to gratefully acknowledge the MDBC for providing catchment data for this research work. We are also grateful to the two anonymous reviewers and editors for their insightful comments and suggestions for improving an earlier draft of this paper.
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SDI Convergence Research, Emerging
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SDI Convergence. Research, Emerging
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An Integrated Framework for the Imp
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Peer Review Board for SDI Convergen
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domain are or may become important
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Services taking advantage of multip
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changes that have taken place in th
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The Potential of a National Atlas a
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tion, the Royal Netherlands Geograp
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challenge for the National Atlas Fo
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experience 'instant satisfaction' u
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data are found offered by the data
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spread of flora and fauna, especial
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Spatial Data Infrastructure of Spai
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ecords managed through the services
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esult of applying GUI production ru
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28 Table 1: Mapping between OGC Cap
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30 Figure 4: Online metadata editio
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ACKNOWLEDGEMENTS This work has been
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Public Sector Geo Web Services: Whi
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Figure 1: Serving geo-information u
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nue. With an increasing number of m
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3.2 Types of business models Malone
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Not all revenue models described by
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uses this model to finance large-sc
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of web service (WMS, WFS/WCS, WIS,
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REFERENCES Anderson, C. (2008). Fre
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INTERVIEWS Jellema, M., DataLand, R
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gion, aware of the INSPIRE context,
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3.3 International activities on man
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use happens when the final user wil
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Geolicences implementation has draw
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Spatial Information Council (2008).
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make it hard for citizens and civil
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66 Figure 2: Prototype to test navi
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”Member States may limit public a
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sor is dragged further into the pro
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cause changes in Dutch and regional
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Hoekstra, R., Winkels R.G.F. and Hu
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The use of location-based informati
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tion which does not measure a perso
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important role (Dobson and Fisher,
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camera surveillance on a public roa
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Furthermore, the Court gave a numbe
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ECtHR (2003a). Peck v. The United K
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Harmonising and Integrating Two Dom
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ing and integrating these two domai
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Table 1: Differences in background
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Figure 1: Examples of IMGeo data (c
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Concept Table 4: Same concept, diff
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Some differences are not clear from
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Such homogenous classes will also a
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BMT classes, which contain all info
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phy, both illustrated with UML exam
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An Analysis of Technology Choices f
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The objectives of this article are
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3. THE COMPARTIMOS REFERENCE MODEL
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sufficiently simple to allow repres
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same implementation of a geospatial
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5. RESULTS Through the development
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Di L., Chen A., Yang W., Liu Y., We
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SDI and Metadata Entry and Updating
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A critical problem for metadata col
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2.1.8 Functionalities A MET must al
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Collection of related documents Sta
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well as more enhanced tools to impr
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access to geo-referenced databases,
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metadata and spatial data is new an
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Phillips, A. and Williamson, I. P.
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A Prototype Metadata Tool for Land
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data and grid computing infrastruct
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model elements it becomes possible
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Figure 2: Overview of the system co
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1. selection of a model; 2. provisi
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the tool is deployed more widely us
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Chan, T., Beverly C., Ebert, S., Ga
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Implementation of Recent Metadata D
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) definition of a metadata organisa
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3.2 Definition of a metadata schema
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This is just an example of how comp
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6. CONCLUSIONS The Public Administr
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An Integrated Framework for the Imp
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2.1 Six Sigma Six Sigma is one of t
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However, the traditional methods of
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The fifth element for BSC design is
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Table 2: Strengths and weaknesses o
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Camp, R. C. (1989). Benchmarking: T
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Nedovic-Budic, Z., Feeney, M.E.F.,
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The Value Chain Approach to Evaluat
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The definition of assessment strate
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There may be several activities per
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The complexity of work, which was r
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Figure 5: Secondary interface: orga
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on investments. More importantly, i
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Porter, M. (1985). Competitive Adva
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Evaluation of Spatial Information T
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fully digital nationwide spatial da
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satellite imagery, digital vector d
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lic) and the National Mapping Agenc
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- Secondary spatial data available,
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Figure 1: Technical progress of SDI
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Khan, J. (2007). Karachi Master Pla
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Philippines http://www.geoinfo.ait.
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Local Government and SDI - Understa
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Australia, like many developed coun
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Table 1: Structure of the LGA quest
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(p
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Table 3: Results of multiple regres
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The role of local government in bui
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McDougall, K., A. Rajabifard and I.
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Changing Notions of a Spatial Data
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Table 1: Differences between GeoWeb
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The concept of spatially enabled go
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Page 261 and 262: The RRR Toolbox: a Conceptual Model
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Page 267 and 268: Principles, Institutional Principle
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Page 273 and 274: Building SDI Bridges for Catchment
Page 275 and 276: approaches. TCM is a holistic appro
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SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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