Using The Dbv Model To Maintain Versions Of Multi-scale Geospatial Data

Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Most implementation solutions go either towards generalization (and/or virtualization of distinct scales) or towards linking entities of interest across scales. In this context, the possibility of maintaining the history of changes at each scale is another factor to be considered. This paper presents our solution to these issues, which accommodates all previous research on handling multiple scales into a unifying framework. Our solution builds upon a specific database version model - the multiversion MVDB - which has already been successfully implemented in several geospatial scenarios, being extended here to support multi-scale research. The paper also presents our implementation of of a framework based on the model to handle and keep track of multi-scale data evolution. © 2012 Springer-Verlag.7518 LNCS284293Bédard, Y., Bernier, E., Badard, T., Multiple representation spatial databases and the concept of vuel (2007) Encyclopaedia in Geoinformatics, , Idea Group Publishing, HersheyBurghardt, D., Petzold, I., Bobzien, M., Relation modelling within multiple representation databases and generalisation services (2010) The Cartographic Journal, 47 (3), pp. 238-249Cellary, W., Jomier, G., Consistency of versions in object-oriented databases (1990) Proc. of the 16th Int. Conference on Very Large Databases, pp. 432-441. , Morgan KaufmannDeng, X., Wu, H., Li, D., Mrdb approach for geospatial data revision (2008) Proc. of SPIE, , the Int. Society for Optical EngineeringFriis-Christensen, A., Jensen, C., Object-relational management of multiply represented geographic entities Proc. 15th Int. Conference on Scientific and Statistical Database Management SSDBM (2003)Gançarski, S., Jomier, G., A framework for programming multiversion databases (2001) Data Knowl. Eng., 36, pp. 29-53Gao, H., Zhang, H., Hu, D., Tian, R., Guo, D., Multi-scale features of urban planning spatial data (2010) 18th Int. Conference on Geoinformatics, pp. 1-7Van Oosterom, P., Research and development in geo-information generalisation and multiple representation (2009) Computers, Environment and Urban Systems, 33 (5), pp. 303-310Van Oosterom, P., Stoter, J., 5D Data Modelling: Full Integration of 2D/3D Space, Time and Scale Dimensions (2010) LNCS, 6292, pp. 310-324. , Fabrikant, S.I., Reichenbacher, T., van Kreveld, M., Schlieder, C. (eds.) GIScience 2010. Springer, HeidelbergParent, C., Spaccapietra, S., Vangenot, C., Zimányi, E., Multiple representation modeling (2009) Encyclopedia of Database Systems, pp. 1844-1849. , Springer USParent, C., Spaccapietra, S., Zimányi, E., The murmur project: Modeling and querying multi-representation spatio-temporal databases (2006) Information Systems, 31 (8), pp. 733-769Ruas, A., Duchêne, C., Chapter 14 - A prototype generalisation system based on the multi-agent system paradigm (2007) Generalisation of Geographic Information, pp. 269-284. , Elsevier Science B.VSarjakoski, L.T., Chapter 2 - Conceptual models of generalisation and multiple representation (2007) Generalisation of Geographic Information, pp. 11-35. , Elsevier Science B.VSpaccapietra, S., Parent, C., Vangenot, C., GIS Databases: From Multiscale to MultiRepresentation (2000) LNCS (LNAI), 1864, pp. 57-70. , Choueiry, B.Y., Walsh, T. (eds.) SARA 2000. Springer, HeidelbergStoter, J., Visser, T., Van Oosterom, P., Quak, W., Bakker, N., A semantic-rich multi-scale information model for topography (2011) Int. Journal of Geographical Information Science, 25 (5), pp. 739-763Zhou, S., Jones, C.B., A Multirepresentation Spatial Data Model (2003) LNCS, 2750, pp. 394-411. , Hadzilacos, T., Manolopoulos, Y., Roddick, J., Theodoridis, Y. (eds.) SSTD 2003. Springer, Heidelber