SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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Nebert , D.D. (ed.) (2004). Developing Spatial Data Infrastructures: The SDI Cookbook, GSDI Association, at: http://www.gsdi.org/docs2004/Cookbook/cook-bookV2.0. pdf. Neely, R.M., Treml, E., LaVoi, T. and Fowler, C. (1998). Facilitating Integrated Regional Ocean Management Using a Web-based Geographic Information System, Coastal Services Centre, National Oceans and Atmospheric Administration, at: http://www.csc.noaa.gov/opis/html/occ_98.htm. NOO (National Oceans Office) (2002). Resources-using the ocean, The south-east Regional Marine Plan, National oceans office, Hobart, Tasmania. Plunkett, G. (2001). A History of Sea Dumping off Australia and its Territories, at: http://www.ea.gov.au/coasts/pollution/dumping/history.html. Rajabifard, A., Chan, T.O., and Williamson, I.P. (1999). ”The Nature of Regional Spatial Data Infrastructures”, Proceedings AURISA 99 - The 27th Annual Conference of AURISA, Fairmont Resort, Blue Mts, Australia. Rajabifard, A. and Williamson I.P. (2001). “Spatial Data Infrastructures: Concept SDI Heirarchy and Future Directions”, GEOMATICS80, Tehran, Iran. Rajabifard, A. (2002). Diffusion of Regional Spatial Data Infrastructures: with particular reference to Asia and the Pacific, PhD Thesis, University of Melbourne, Australia. Rajabifard A., Binns A. and Williamson I. (2005). Administering the Marine Environment – The Spatial Dimension, Journal of Spatial Science, 50(2): 69-78. Rhind, D. (2001). Lessons learned from local, National and Global Spatial Data Infrastructures, GISdevelopment.net, at: http://www.gisdevelopment.net/policy/gii/gii 0006.htm. SOEAC (State of the Environment Advisory Council) (1996). State of the Environment Australia, CoA, Canberra. Strain, L., Rajabifard, A. and Williamson, I.P. (2006). Spatial Data Infrastructure and Marine Administration, Marine Policy, 30(4): 431-441. Syafi’I, A. (2006). ”The Integration of Land and Marine Spatial Data Set, As Part of Indonesian Spatial Data Infrastructure Development”, 17 th UNRCC-AP, September 18-22 2006, Bangkok. Thia-Eng, C., Bernad, S. and San, M. (2003). Coastal and Ocean Governance of the Seas of East Asia: Towards an Era of New Regional Cooperation and Partnerships, Tropical Coasts, 10(1): 46-55. Tóth, K. (2007). ”Role of Integrated Land and Marine Information in INSPIRE”, Proceedings Joint EuroSDR and IHO Land and Marine Information Integration Workshop, March 21-23 2007, Dublin. Ireland. UN-PCGIAP (2004). Working Group 3. Report on the international workshop on administrating the marine environment - the spatial dimension, May 4-7 2004, Kuala Lumpur, Malaysia. UNRCC-AP (2006). Resolution 3: Marine Administration-the spatial dimension, 17 th UNRCC-AP, September 18-22 2006, Bangkok, at http://www.gsi.go.jp/PCGIAP. Williamson I.P., Rajabifard A. and Binns A. (2004). “Issues in Developing Marine SDI”, International Workshop on Administering the Marine Environment – The Spatial Dimensions, May 4-7 2004, Kuala Lumpur, Malaysia, 11p. 252
The RRR Toolbox: a Conceptual Model for Improving Spatial Data Management in SDIs Rohan Bennett and Abbas Rajabifard Department of Geomatics, The University of Melbourne, Australia {rohanb, abbas.r}@unimelb.edu.au Abstract Spatial Data Infrastructures (SDI) aim to link people with spatial services and data. Increasingly, SDI initiatives are focusing on a particular type of data: large-scale people relevant data. Examples include the ownership parcel layer and built environment information. To improve the management of these essential SDI layers, consideration of land parcels and their administration is needed. In particular, the complex array of rights, restrictions and responsibilities (RRRs) applying to land needs to be understood. Moreover, the contemporary models of RRRs management must also be understood. To this end, this article introduces the RRR Toolbox, a holistic framework for understanding, creating and managing land interests. The nature and design of RRRs are discussed along with their problematic management. This leads to a description of the development and components of the RRR Toolbox. The dualism of RRRs, being both spatial and land based, makes the RRR Toolbox highly applicable to SDI. Indeed, seven of the model’s eight components are found to be relevant in the SDI context. Keywords: RRRs (Property rights, restrictions and responsibilities), SDI (Spatial Data Infrastructure), Land Administration. 1. INTRODUCTION Early SDI activities and research often suffered from a ‘means’ over ‘ends’ mentality: too much focus was placed on technologies, not enough was given to the activities and datasets they underpinned. As the technological problems subsided, SDI science broadened into a multi-disciplinary field: theories and concepts from numbers of areas came together to enable the design, construction and management SDIs. One area offering useful insights was Land Administration, the discipline of cadastral management and property rights organisation. Land Administration was essentially a subset of the larger SDI problem; its long and well-documented history provided many lessons for SDI practitioners. Conversely, SDI has also fed back into the discipline of Land Administration through its call for data sharing and institutional collaboration. This article intends to continue the cross-pollination between the disciplines. It introduces the RRR Toolbox and aims to demonstrate it utility to other data sets within SDIs. The model focuses on reorganising the management of the hundreds of new RRRs placed on land by governments. RRRs are created for a myriad of social, economic and environmental reasons and impact greatly on the tenure, value and potential use of land. Consequently, information about RRRs is keenly sort after by citizens and government. Unfortunately, RRR creation, management and access mechanisms are usually poorly implemented. The RRR Toolbox, the focus of this article, emerged from applied scientific research and consists of eight principles for improving RRR management. Subsequently, the tools are also useful to the realm of SDI and it’s broader aim of spatial data integration. 253
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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
Page 209 and 210: Khan, J. (2007). Karachi Master Pla
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Page 213 and 214: Local Government and SDI - Understa
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Page 227 and 228: Changing Notions of a Spatial Data
Page 229 and 230: Table 1: Differences between GeoWeb
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Page 243 and 244: 4.4 Important aspects As cooperatio
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Page 247 and 248: Seamless SDI Model - Bridging the G
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Page 253 and 254: Figure 5: Seamless platform. A seam
Page 255 and 256: 4.2 Standards SDI must be based on
Page 257 and 258: One more concern linked to the esta
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Page 267 and 268: Principles, Institutional Principle
Page 269 and 270: The commonalities between SDIs and
Page 271 and 272: Mooney, J. D. and Grant, D. M. (199
Page 273 and 274: Building SDI Bridges for Catchment
Page 275 and 276: approaches. TCM is a holistic appro
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Page 281 and 282: Figure 2: Conceptual framework: App
Page 283 and 284: In the Murray Darling Basin, there
Page 285 and 286: REFERENCES Australian Bureau of Sta
Page 287: Rajabifard, A., M.-E.F. Feeney and
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