AUTHORS: Semere Woldemariam, Peter Z. Revesz
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ABSTRACT: Animal migration is one of the areas biologists actively investigate in order to gain a better understanding of animal behavior. In general, the representation, visualization and querying of the observed animal migration data poses many challenges. This paper describes a novel approach to solving these challenges using the MLPQ constraint database system. Our modeling of the animal migration problem and specific software implementation using the MLPQ constraint database system provides an easy to understand and use scientific tool for biologists as is demonstrated on a test case of migration data for Atlantic Ocean sea turtles. The migration data include the position, latitude and longitude of the sea turtles as reported to satellites at certain time intervals. The migration observational data are interpolated and converted into a continuous movement data that are represented within a constraint database that can also animate and query the movement of the sea turtles.
KEYWORDS: Animation, constraint databases, migration, moving objects, spatio-temporal interpolation, turtle
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