Skip to main content
padlock icon - secure page this page is secure

A spatial data infrastructure model from the computational viewpoint

Buy Article:

$60.00 + tax (Refund Policy)

The Commission on Geoinformation Infrastructures and Standards of the International Cartographic Association (ICA) is working on defining models of spatial data infrastructures (SDIs). SDI models from the enterprise and information viewpoints of the Reference Model for Open Distributed Processing (RM-ODP) have already been presented. Our model from the computational viewpoint identifies the main computational objects of an SDI and their interfaces, which are modelled using Unified Modelling Language (UML) component diagrams. Presented here is the first comprehensive SDI model from the computational viewpoint, which enhances the understanding of the computational objects and their interactions in an SDI. This viewpoint complements the previous two and together, the three viewpoints contribute towards a more holistic interpretation of an SDI, which is independent of specific SDI legislation, technology and implementations. For the computational viewpoint, we identified six computational objects, SDI Registry, SDI Data, SDI Processing, SDI Application, SDI Portrayal and SDI Management, and their provided and required interfaces. We describe the interactions of the computational objects in stakeholder activities and the roles they play in the different processes of SDI development and use, which we identified as Initiation, Creation, Management, Manipulation, Access, Processing, Evaluation and Liaison. Two tables summarise the SDI services that are provided by computational objects for stakeholder activities and SDI processes.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: analytical cartography; computational viewpoint; reference model; spatial data infrastructure (SDI); unified modelling language (UML)

Document Type: Research Article

Affiliations: 1: Built Environment, CSIR, Pretoria, South Africa 2: Department of Geography, Ohio State University, Columbus, OH, USA 3: Kort & Matrikelstyrelsen, Copenhagen, NV, Denmark 4: IT4Innovations, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic 5: Department of Information Systems, Industrial Engineering Faculty, ISPJAE University, La Habana, Cuba 6: Institut Géographique National, Saint Mandé, France 7: Centre for Geoinformation Science, University of Pretoria, Pretoria, South Africa 8: Environmental Systems Research Institute, Inc, Vienna, VA, USA 9: Bezirksregierung Köln, Muffendorfer Strasse, Bonn, Germany 10: Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Wrocław, Poland 11: Natural Resources Canada, Centre for Topographic Information, Sherbrooke, Quebec, Canada 12: Instituto Geográfico Nacional, General Ibañez de Ibero, Madrid, Spain 13: International Hydrographic Bureau, 4 quai Antoine 1er, Monaco, Monaco 14: Department of Geomatics, University of Melbourne, Melbourne, Victoria, Australia

Publication date: June 1, 2013

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more