Modeling Moving Objects over Multiple Granularities
Annals of Mathematics and Artificial Intelligence
A unifying semantic distance model for determining the similarity of attribute values
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
Modeling Herds and Their Evolvements from Trajectory Data
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
Using preaggregation to speed up scaling operations on massive spatio-temporal data
ER'10 Proceedings of the 29th international conference on Conceptual modeling
| Hi-index | 0.00 |
Spatio-temporal knowledge representation often requires shifting from one level of detail to another so that users can carry out a desired task. Geographic information systems typically treat such alterations in detail with respect to the geometric properties of objects. In this paper, we extend the theories based on geometrical considerations only to an approach that focuses on shifts between levels of temporal detail. The approach is based on a model of change to identifiable objects and describes temporal zooming that involves expanding or collapsing the transitions between identity states of objects. This work offers promising new directions for spatio-temporal query languages.