Titlebook: Spatio-Temporal Databases; Flexible Querying an Rita Caluwe,Guy Tré,Gloria Bordogna Book 2004 Springer-Verlag Berlin Heidelberg 2004 Change

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A Possibility-Based Model to Index Remote Sensing Images the spatial distribution of the phenomena of interest. Remote sensing is widely employed for land monitoring, land planning and risk prevention; its ultimate aim is to identify specific image contents to create thematic maps. An efficient management of large collections of remote sensing images and

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Vague Geographical Knowledge Management — A Flow-Chart Based Application to Spatial Information Analcertainty. Fuzzy sets broadened the concepts on dealing with error and imprecision, which are issues well known to spatial analysis. Eliminating or tracking error and imprecision has been contributing to increase knowledge with respect to spatial phenomena. Notions in space and spatial terms became

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Noise Annoyance Mappings, these spatial databases are augmented with a number of functions directly related to geography. Queries based on distance, surface, and spatial aggregation are but a few examples. Even more important are the extended possibilities for visualization that a typical GIS application offers. Because o

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The Applicability of Generalized Constraints in Spatio-Temporal Database Modelling and Querying For example, the set of valid temperatures . on earth can be defined as ranging from a high of 57 degrees Celcius to -70 degrees Celcius, which can be described by the constraint . ∈ [-70°C, 57°C] or, using linear arithmetic, by (. ≥ -70°C) ∧ (. ≤ 57°C).

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