International Journal of Data Warehousing and Mining · 2009 · 30 citations · 38 references
EngineeringSpatial OlapGeographic AnalyticsSpatiotemporal DatabaseSocial SciencesGeographic Information SystemsData ScienceSpatio-temporal AnalysisSpatial Data ManagementData IntegrationBig DataData ManagementBuenos AiresCartographySpatial DatabasesGeographyComputer ScienceSpatial Information SystemSpatio-temporal Data WarehousingOlap FunctionalitySpatio-temporal Stream ProcessingData Modeling
Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, vendors are increasingly integrating their products, leading to the concept of SOLAP (Spatial OLAP). Also, in the last years, and motivated by the explosive growth in the use of PDA devices, the field of moving object data has been receiving attention from the GIS community. However, not much has been done in providing moving object databases with OLAP functionality. In the first part of this article we survey the SOLAP literature. We then move to Spatio-Temporal OLAP, in particular addressing the problem of trajectory analysis. We finally provide an in-depth comparative analysis between two proposals introduced in the context of the GeoPKDD EU project: the Hermes-MDC system, and Piet, a proposal for SOLAP and moving objects, developed at the University of Buenos Aires, Argentina.
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Location-acquisition Technologies, Trajectory Patterns, Trajectory Pattern Mining +15
Mike Worboys, Matt Duckham · DigitalCommons (California Polytechnic State University) · 2004 · 628 citations · Full text