SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

More documents

Recommendations

Info

REFERENCES Abdulharis, R., van Loenen, B., Zevenbergen, J. (2005). “Legal Aspects of Access to Geo-Information within Indonesian Spatial Data Infrastructure”, ISPRS Workshop on Service and Application of Spatial Data Infrastructure, XXXVI (4/W6), Hangzhou, China. Albites, F.A.H. (2008). “Relationships of Cartography, Geographic Information Systems and the Mexican Spatial Data Infrastructure (IDEMEX)”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII. Part B4. Beijing. Arief Syafi’I, M. (2006). “The Integration of Land and Marine Spatial Data Set as part of Indonesian Spatial Data Infrastructure Development”, Seventeenth United Nations Regional Cartographic Conference for Asia and the Pacific. Bangkok. Asmat, A. (2008). Potential of Public Private Partnership for NSDI implementation in Pakistan. Master-Thesis, Enschede. Baktash, P. (2003). “National and Regional Spatial Data Infrastructure (NSDI & RSDI) and National Cartographic Center of Iran’s Activities about it”, Proceedings of the 2 nd FIG Regional Conference, Marrakech, Morocco. Omran, E.S.E., Crompvoets, J., and Bregt, A. (2006). Benefits and bottlenecks of SDI development in Egypt. GIS@development, 2(1): 32-35. Camara, G., Fonseca, F., Moneiro, A.M., Onsrud, H. (2006). Networks of Innovation and the Establishment of a Spatial Data Infrastructure in Brazil, Information Technology for Development, 12(4): 255-272. Cheng, P., Rao, J. (2006). “Digim.GZ -- The Digital Municipality of Guangzhou Project”, Proceedings of Map Asia 2006, Bangkok, Thailand. Choi, Y, Han J.-H., Lee, I. (2006). “The Spatial Data Warehouse of Seoul”, Proceedings of the ESRI user conference 2006, at: http://gis.esri.com/library/userconf/ proc06/papers/papers/pap_2000.pdf. Clinton, William (1994). Coordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure. Executive Order 12906, Federal Register, 59 (71), pp.17671-17674. Crisostomo B.A. (2007). “The Philippines Experience in the Development of a National Spatial Data Infrastructure (1993 – 2007)”, Workshop on Spatial Data Infrastructure”hosted by AIT & SCOSA, Thailand. EC-INSPIRE (2006). Spatial Data Infrastructures in France: State of play Autumn 2006. Spatial Application Division, K.U.Leuven Research & Development, Leuven. Federal Ministry of Science and Technology of Nigeria (2003). National Geoinformation Policy (Draft), at: http://www.rectas.org/NigeriaGIpolicy.pdf. GSDI (2007). GSDI Small Grant Summaries 2006-2007, at: http://www.gsdi.org/ docs2007/GSDISmGrtSums06-07.pdf. Han, S., Cho, H. (2001). “Development of National Spatial Data Infrastructure in Korea”. Proceedings of the Technical Conference during the FIG Working Week. Seoul, South Korea. Hyman, G., Lance, K., Perea, C., Rey, D. I. (2002). “Survey of the Development of National Spatial Data Infrastructures in Latin America an the Caribbean”, Proceedings of the ESRI user conference 2002, at: http://gis.esri.com/library/userconf/ proc03/p1140.pdf. 200
Khan, J. (2007). Karachi Master Plan 2020: Only 15 GIS town maps completed as plan constantly delayed. Daily Times, 25 September, at: http://www.dailytimes.com.pk/ default.asp?page=2007\09\25\story_25-9-2007_pg12_3. Kelly, P. (2008). Current Problems and Issues in Using SDI in Mega cities. Report of FIG Working Group 3.2: Spatial Data Infrastructures in Mega cities, unpublished. Kumar, R.S. (2007). 3D Mapping of Walled City, GIS@development.net, 11(4). Li, P., Lan W., Xuenian X. (2008). “SDI in China: Progress and issues”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII. Part B4. Beijing. Machuca, J.H., Rickert, J.E. (2008). “Argentina, Geographic Information System on the Internet (PROSIGA)”, Proceedings of the GSDI-10 Conference. Trinidad, St. Augustine. McLaren, R., Mahoney, R. (2000). “NSDI in the UK”, Proceedings of the Quo Vadis- International Conference FIG Working Week 2000, Prague, at: http://www.fig.net/ pub/proceedings/prague-final-papers/mclaren.htm. Nebert, D.D. (2004). GSDI Cookbook v. 2.0, at: http://gsdi.org/docs2004/Cookbook/ cookbookV2.0.pdf. Puntodewo, Nataprawira, R. (2007). “Indonesian Geospatial Data Clearinghouse”, Proceedings of the 3 rd FIG Regional Conference, Jakarta, Indonesia. Rad, A.E., Sarpoulaki, M. (2004). “Islamic Republic of Iran National Report for Photogrammetry and Remote Sensing 2000-2004”, Proceedings of ISPRS Commission VI, ISPRS Congress, Istanbul. Ramírez, J.O. (2005). “The Spatial Data Infrastructure of México "IDEMex". From Pharaohs to Geoinformatics”, Proceedings of FIG Working Week 2005 and GSDI-8, Cairo, Egypt. Silapathong, C. (2004). “Development and Implementation of NSDI in Thailand”, Conference Proceedings of Map Asia 2004, Beijing, China. Stevens, A.R. (2005). “The US National Spatial Data Infrastructure: What is new?” ISPRS Workshop on Service and Application of Spatial Data Infrastructure, XXXVI(4/W6), Hangzhou, China. TA 4578 – Pakistan: Karachi Mega Cities Preparation Project (2005). Final Report, at: http://www.adb.org/documents/produced-under-ta/38405/38405-pak-dpta.pdf. Zhu, Y., Yang, C., Wong, D.W., Kafatos, M. (2005). A Distributed GIS for Managing Shanghai Landscape Resources. Geographic Information Sciences, 11(1): 29-39. INVESTIGATED WEBSITES Argentina http://www.sig.gov.ar/ http://www.gsdi.org/newsletters/sdilacv4n12english.pdf Buenos Aires http://mapa.buenosaires.gov.ar/sig/index.phtml Bangladesh http://www.bsgi-bd.org/Index.html 201
Page 1:
SDI Convergence Research, Emerging
Page 4 and 5:
SDI Convergence. Research, Emerging
Page 6 and 7:
An Integrated Framework for the Imp
Page 8 and 9:
Peer Review Board for SDI Convergen
Page 10 and 11:
domain are or may become important
Page 12 and 13:
Services taking advantage of multip
Page 14 and 15:
changes that have taken place in th
Page 17 and 18:
The Potential of a National Atlas a
Page 19 and 20:
tion, the Royal Netherlands Geograp
Page 21 and 22:
challenge for the National Atlas Fo
Page 23 and 24:
experience 'instant satisfaction' u
Page 25 and 26:
data are found offered by the data
Page 27:
spread of flora and fauna, especial
Page 30 and 31:
Spatial Data Infrastructure of Spai
Page 32 and 33:
ecords managed through the services
Page 34 and 35:
esult of applying GUI production ru
Page 36 and 37:
28 Table 1: Mapping between OGC Cap
Page 38 and 39:
30 Figure 4: Online metadata editio
Page 40 and 41:
ACKNOWLEDGEMENTS This work has been
Page 43 and 44:
Public Sector Geo Web Services: Whi
Page 45 and 46:
Figure 1: Serving geo-information u
Page 47 and 48:
nue. With an increasing number of m
Page 49 and 50:
3.2 Types of business models Malone
Page 51 and 52:
Not all revenue models described by
Page 53 and 54:
uses this model to finance large-sc
Page 55 and 56:
of web service (WMS, WFS/WCS, WIS,
Page 57 and 58:
REFERENCES Anderson, C. (2008). Fre
Page 59:
INTERVIEWS Jellema, M., DataLand, R
Page 62 and 63:
gion, aware of the INSPIRE context,
Page 64 and 65:
3.3 International activities on man
Page 66 and 67:
use happens when the final user wil
Page 68 and 69:
Geolicences implementation has draw
Page 70 and 71:
Spatial Information Council (2008).
Page 72 and 73:
make it hard for citizens and civil
Page 74 and 75:
66 Figure 2: Prototype to test navi
Page 76 and 77:
”Member States may limit public a
Page 78 and 79:
sor is dragged further into the pro
Page 80 and 81:
cause changes in Dutch and regional
Page 82 and 83:
Hoekstra, R., Winkels R.G.F. and Hu
Page 84 and 85:
The use of location-based informati
Page 86 and 87:
tion which does not measure a perso
Page 88 and 89:
important role (Dobson and Fisher,
Page 90 and 91:
camera surveillance on a public roa
Page 92 and 93:
Furthermore, the Court gave a numbe
Page 94 and 95:
ECtHR (2003a). Peck v. The United K
Page 97 and 98:
Harmonising and Integrating Two Dom
Page 99 and 100:
ing and integrating these two domai
Page 101 and 102:
Table 1: Differences in background
Page 103 and 104:
Figure 1: Examples of IMGeo data (c
Page 105 and 106:
Concept Table 4: Same concept, diff
Page 107 and 108:
Some differences are not clear from
Page 109 and 110:
Such homogenous classes will also a
Page 111 and 112:
BMT classes, which contain all info
Page 113 and 114:
phy, both illustrated with UML exam
Page 115 and 116:
An Analysis of Technology Choices f
Page 117 and 118:
The objectives of this article are
Page 119 and 120:
3. THE COMPARTIMOS REFERENCE MODEL
Page 121 and 122:
sufficiently simple to allow repres
Page 123 and 124:
same implementation of a geospatial
Page 125 and 126:
5. RESULTS Through the development
Page 127 and 128:
Di L., Chen A., Yang W., Liu Y., We
Page 129 and 130:
SDI and Metadata Entry and Updating
Page 131 and 132:
A critical problem for metadata col
Page 133 and 134:
2.1.8 Functionalities A MET must al
Page 135 and 136:
Collection of related documents Sta
Page 137 and 138:
well as more enhanced tools to impr
Page 139 and 140:
access to geo-referenced databases,
Page 141 and 142:
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 and 194: on investments. More importantly, i
Page 195 and 196: Porter, M. (1985). Competitive Adva
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: Figure 1: Technical progress of SDI
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
Page 245 and 246: level’ within and between organis
Page 247 and 248: Seamless SDI Model - Bridging the G
Page 249 and 250: tuaries and oceans (Plunkett, 2001)
Page 251 and 252: Figure 2: Seamless administration s
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
Page 259 and 260:
structures that not only do not yet
Page 261 and 262:
The RRR Toolbox: a Conceptual Model
Page 263 and 264:
curring in the present must not com
Page 265 and 266:
databases and web mapping services.
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
Page 277 and 278:
hierarchy namely; the umbrella view
Page 279 and 280:
tions and practices in South Africa
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
show all

SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?