SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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Goodchild, M. (1995). “Geographic Information Systems and Geographic Research”, in J. Pickles (ed.). Ground Truth: The Social Implications of Geographic Information Systems, New York: The Guilford Press. Grus, L., J. Crompvoets and A. Bregt (2007). Multi-view <strong>SDI</strong> assessment framework, International Journal of Spatial Data Infrastructures Research, 2: 33-53. Halsing, D., K. Theissen and R. Bernknopf (2004). A Cost-Benefit Analysis of The National Map. Technical report, U.S. Department of the Interior, U.S. Geological Survey, Reston, Virginia. Kaplinsky, R., and M. Morris (2001). A Handbook for Value Chain Research, Brighton : Institute of Development Studies. Krek, A. and A. U. Frank (2000). The Production of Geographic Information - The Value Tree, Geo-Informations-Systeme - Journal for Spatial Information and Decision Making, 13(3): 10-12. Krek, A. (2002). An Agent-Based Model for Quantifying the Economic Value of Geographic Information, PhD thesis, Institut for Geoinformation, Technical University Vienna. Krek, A. (2003). “What are transaction costs and why do they matter?” Proceedings of 6th AGILE Conference, Lyon, April 2003, France. Krek, A. (2004). “Requirements for an Efficient Value Pricing of Geoinformation”, Proceedings of 7th AGILE Conference, Heraklion, Crete University Press. Krek, A. (2006). “Geographic Information as an economic good”, in Campagna M. (ed.). GIS for sustainable development, Taylor and Francis. Longhorn, R. and Blakemore, M. (2008). Geographic information: Value, pricing, production and consumption, Boca Raton, FL: CRC Press. Marion, G. (2005). Élaboration et expérimentation d’un outil visuel pour la gestion des aspects informels d’une organisation. Mémoire de M.Sc., Faculté d'administration, Université de Sherbrooke. North, D. C. (1997). Institutions, Institutional Change and Economic Performance, Cambridge: Cambridge University Press. Noucher, M. and C. Archias (2007). “L’évaluation des Infrastructures de Données Spatiales - Application de divers cadres d’évaluation au CRIGE PACA”, Conference Geo-Evenement 2007. Oelschlager, F. (2004). Enterprise Information Integration; Enabling the Information Value Chain to Achieve Business Optimization, at: http://www.teamplay. primavera.com/partners/files/Enterprise_Information.pdf. Onsrud, H. J. (1998). “A global survey of national spatial data infrastructure activities”, at: http://www.spatial.maine.edu/~onsrud/gsdi/surveysum.htm. Phillips, R. L. (2001). The management information value chain, Perspectives, 3. Plante, M. (2006). EcoGeo Phase I: Vers un portrait des retombées économiques dans le secteur de la géomatique au Québec, Technical report, Université de Sherbrooke, Sherbrooke, Canada. Roche, S. and C. Caron (2004). Aspects organisationnels des SIG, Paris: Hermès- Lavoisier. 186
Porter, M. (1985). Competitive Advantage: Creating and Sustaining Superior Performance, New York: Free Press. Rodri guez-Pabon, O. (2005). Cadre théorique pour l’évaluation des infrastructures d’information géospatiale, Ph.D. Thesis, Département des Sciences Géomatiques, Faculté de Foresterie et de Géomatique, Laval University, Québec. Samborski, B. (2007). Building a Business Case for Shared Geospatial Data and Services: a practitioners guide to financial and Strategic Analysis for a Multiparticipant Program, workbook of Geospatial Information Technology Association, U.S.A. Samuelson, P. (1954). The Pure Theory of Public Expenditure, Review of Economics and Statistics, 36 (4): 387-389. Shapiro, C, and H. Varian (1999). Information Rules: A Strategic Guide to the Network Economy, Boston: Harvard Business School. Spataro, J. and B. Crow (2002). A framework for understanding the information management market. The Gilbane Report, at: http://gilbane.com/gilbane_report.pl/79/ .html. Tulloch, D., E. Epstein, D. Moyer, B. Niemann, S. Ventura and R. Chenoweth (1998). “GIS and Society: A working paper”, UCGIS Annual Conference, at: http://www. lic.wisc.edu/pubs/GIS_Society.pdf. WEBSITES Website 1: http://www.quebecgeographique.gouv.qc.ca/ Website 2: http://www.lio.mnr.gov.on.ca Website 3: http://www.geogratis.ca/ 187
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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
Page 143 and 144: Phillips, A. and Williamson, I. P.
Page 145 and 146: A Prototype Metadata Tool for Land
Page 147 and 148: data and grid computing infrastruct
Page 149 and 150: model elements it becomes possible
Page 151 and 152: Figure 2: Overview of the system co
Page 153 and 154: 1. selection of a model; 2. provisi
Page 155 and 156: the tool is deployed more widely us
Page 157 and 158: Chan, T., Beverly C., Ebert, S., Ga
Page 159 and 160: Implementation of Recent Metadata D
Page 161 and 162: ) definition of a metadata organisa
Page 163 and 164: 3.2 Definition of a metadata schema
Page 165 and 166: This is just an example of how comp
Page 167 and 168: 6. CONCLUSIONS The Public Administr
Page 169 and 170: An Integrated Framework for the Imp
Page 171 and 172: 2.1 Six Sigma Six Sigma is one of t
Page 173 and 174: However, the traditional methods of
Page 175 and 176: The fifth element for BSC design is
Page 177 and 178: Table 2: Strengths and weaknesses o
Page 179 and 180: Camp, R. C. (1989). Benchmarking: T
Page 181 and 182: Nedovic-Budic, Z., Feeney, M.E.F.,
Page 183 and 184: The Value Chain Approach to Evaluat
Page 185 and 186: The definition of assessment strate
Page 187 and 188: There may be several activities per
Page 189 and 190: The complexity of work, which was r
Page 191 and 192: Figure 5: Secondary interface: orga
Page 193: on investments. More importantly, i
Page 197 and 198: Evaluation of Spatial Information T
Page 199 and 200: fully digital nationwide spatial da
Page 201 and 202: satellite imagery, digital vector d
Page 203 and 204: lic) and the National Mapping Agenc
Page 205 and 206: - Secondary spatial data available,
Page 207 and 208: Figure 1: Technical progress of SDI
Page 209 and 210: Khan, J. (2007). Karachi Master Pla
Page 211 and 212: Philippines http://www.geoinfo.ait.
Page 213 and 214: Local Government and SDI - Understa
Page 215 and 216: Australia, like many developed coun
Page 217 and 218: Table 1: Structure of the LGA quest
Page 219 and 220: (p
Page 221 and 222: Table 3: Results of multiple regres
Page 223 and 224: The role of local government in bui
Page 225 and 226: McDougall, K., A. Rajabifard and I.
Page 227 and 228: Changing Notions of a Spatial Data
Page 229 and 230: Table 1: Differences between GeoWeb
Page 231 and 232: The concept of spatially enabled go
Page 233 and 234: applications field and also in term
Page 235 and 236: The discussion in the fifth section
Page 237 and 238: Cooperation - a Key Factor for Sust
Page 239 and 240: appears at low levels and can seek
Page 241 and 242: Many of the problems of a non-techn
Page 243 and 244: 4.4 Important aspects As cooperatio
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level’ within and between organis
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Seamless SDI Model - Bridging the G
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tuaries and oceans (Plunkett, 2001)
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Figure 2: Seamless administration s
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Figure 5: Seamless platform. A seam
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4.2 Standards SDI must be based on
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One more concern linked to the esta
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structures that not only do not yet
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The RRR Toolbox: a Conceptual Model
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curring in the present must not com
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databases and web mapping services.
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Principles, Institutional Principle
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The commonalities between SDIs and
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Mooney, J. D. and Grant, D. M. (199
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Building SDI Bridges for Catchment
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approaches. TCM is a holistic appro
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hierarchy namely; the umbrella view
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tions and practices in South Africa
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Figure 2: Conceptual framework: App
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In the Murray Darling Basin, there
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REFERENCES Australian Bureau of Sta
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Rajabifard, A., M.-E.F. Feeney and
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SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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