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This paper presents a new method for storage and access to spatiotemporal data. That is spatial objects that have some non-spatial attributes updated asynchronously. An example of such objects may be water meters. Proposed method is a hybrid of well documented dedicated solutions for spatial, temporal, spatial aggregate and temporal aggregate data processing. Thanks to that it was possible to achieve high performance for detailed and aggregate query processing without usage of approximation. Index name (i.e. STAH-tree) is English abbreviation and can be extended as Spatio-Temporal Aggregation Hybrid Tree. Part of this work aims in creation of cost model checked against experimental results of system performance. Some other experiments that verify system behavior were also performed.

STAH-TREE: Quality Tests of Hybrid Index for Spatio-Temporal Aggregation