| Abstract: | Benchmarking of spatio-temporal databases is an issue of growing importance. In case large real datasets are not available, benchmarking requires the generation of artificial data sets following the real-world behavior of spatial objects that change their locations, shapes and sizes over time. In this report, a generator for changing raster data, called “Generator of Time-Evolving Regional Data” (G-TERD), is presented. The basic concepts that determine the function of G-TERD are the structure of complex two-dimensional raster objects, their colour, maximum speed, zoom and rotation-angle per time slot, the influence of other moving or static objects on the speed and on the moving direction of an object, the position and movement of the scene-observer, the statistical distribution of each changing factor and finally, time. In the framework developed, the user can control the generator response by setting several parameters values. |
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