A spatial data infrastructure model from the computational viewpoint
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.
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spatial data infrastructure (SDI);
unified modelling language (UML)
Document Type: Research Article
Built Environment, CSIR, Pretoria, South Africa
Department of Geography, Ohio State University, Columbus, OH, USA
Kort & Matrikelstyrelsen, Copenhagen, NV, Denmark
IT4Innovations, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic
Department of Information Systems, Industrial Engineering Faculty, ISPJAE University, La Habana, Cuba
Institut Géographique National, Saint Mandé, France
Centre for Geoinformation Science, University of Pretoria, Pretoria, South Africa
Environmental Systems Research Institute, Inc, Vienna, VA, USA
Bezirksregierung Köln, Muffendorfer Strasse, Bonn, Germany
Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Wrocław, Poland
Natural Resources Canada, Centre for Topographic Information, Sherbrooke, Quebec, Canada
Instituto Geográfico Nacional, General Ibañez de Ibero, Madrid, Spain
International Hydrographic Bureau, 4 quai Antoine 1er, Monaco, Monaco
Department of Geomatics, University of Melbourne, Melbourne, Victoria, Australia
Publication date: June 1, 2013
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