In spatial databases, there are three basics fundamental abstractions of spatial objects. First, point which describes an objects location, e.g. a city on a map. Second, line which describes connections in space like roads, rivers, power lines, etc. Third, a region is an area with characteristics and fixed boundary. Moving regions are regions that may change their location (i.e. move) as well as their shape (grow or shrink). For example, a hurricane boundaries may shrink or grow as it moves from one location to another location. Moving object databases play an important role in analyzing spatial temporal data as they deal with information of moving entities or moving objects. Moving object databases are one type of spatiotemporal database. Aggregate operations are a useful class of operations for conducting data analysis in databases. Aggregate operators provide functionality to compute the sum, average, maximum value, minimum value and other functions. Spatial aggregates over regions are defined to operate over a set of regions, and return a single region as a result. For instance, a union spatial aggregation performed on the fty states of the U.S will return the boundary of the United States of America with no inner boundaries. Spatial aggregates focus only on the spatial properties of regions. Spatiotemporal aggregates over moving region focus on spatial and temporal properties of moving regions. There is not much work done in the area of spatiotemporal aggregates over moving regions. Therefore, we do not know the full set of possible spatiotemporal aggregates over moving regions or how they are organized. In this thesis, I will analyze the aggregate operations over the spatiotemporal data type of moving regions, categorize the aggregate operations based on the analysis, and propose new operations.
|Commitee:||Ercal, Gunes, Yu, Xudong|
|School:||Southern Illinois University at Edwardsville|
|School Location:||United States -- Illinois|
|Source:||MAI 56/06M(E), Masters Abstracts International|
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