By Jianwen Su, Haiyan Xu, Oscar H. Ibarra (auth.), Christian S. Jensen, Markus Schneider, Bernhard Seeger, Vassilis J. Tsotras (eds.)

The 7th overseas Symposium on Spatial and Temporal Databases (SSTD 2001), held in Redondo seashore, CA, united states, July 12{15, 2001, introduced jointly major researchers and builders within the zone of spatial, temporal, and spatio-temporal databases to debate the state-of-the-art in spatial and temporal info administration and functions, and to appreciate the demanding situations and - seek instructions within the advancing quarter of knowledge administration for relocating items. The symposium served as a discussion board for disseminating study in spatial and temporal information administration, and for maximizing the interchange of data between researchers from the verified spatial and temporal database com- nities. The alternate of study principles and effects not just contributes to the educational enviornment, but additionally bene ts the person and advertisement groups. SSTD 2001 was once the 7th within the sequence of symposia that began in Santa Barbara a dozen years in the past and has due to the fact that been held each years, in Zurich, Singapore, Portland (Maine), Berlin, and Hong Kong. via 1999, the sequence had develop into good tested because the premiere foreign discussion board committed completely to spatial database administration, and it used to be made up our minds to increase the scope of the sequence to additionally hide temporal database administration. This prolonged scope was once selected due, partly, to the expanding significance of study that considers spatial and temporal facets jointly.

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Example text

So given GDT maps, cost can be interpreted as travel-time or distance. IBM Spatial Extender [4] provides the following functions for spatial data manipulation: Comparison functions: contains, cross, disjoint, equals, intersects, overlap, touch, within, envelopes intersect Relationship functions: common point, embedded point, line cross, area intersect, interior intersect, etc. Combination functions: difference, symmetric difference, intersection, overlay, union, etc. Calculation functions: area, boundary, centroid, distance, endpoint, length, minimum distance, etc.

Of two overlapping objects). This illustrates the need for capturing these aspects of the objects in the database. A problem with the recently proposed approaches [5] is that their feasibility for implementation is low as they provide a very large set of data types and attached operations. As a concrete example, fleet management involves the storage and querying of spatiotemporal objects. Assume a taxi service that needs to know continuously the location of taxi cubs and optimize their service.

This is the Minimum Bounding Rectangle (MBR) of the trajectory segment. Observe that the trajectory segment is a diagonal of its MBR. Each line segment of a trajectory, its sequence number in the trajectory, its MBR, and the object id are inserted as a record in the 3D index. In this paper we establish the mapping of the query to a 3D query window Q, such that we retrieve all the trajectories that intersect Q. This is the only retrieval from the hard disk assuming that the contents of Q are a small part of the database and can fit into main memory.

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