Logical Tools for Temporal Knowledge Representation
Logical Tools for Temporal Knowledge Representation
Survey of Spatio-Temporal Databases
Geoinformatica
Qualitative Representation of Change
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
A Small Set of Formal Topological Relationships Suitable for End-User Interaction
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Qualitative and Topological Relationships in Spatial Databases
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Managing Time in GIS: An Event-Oriented Approach
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Modeling consistency of spatio-temporal graphs
Data & Knowledge Engineering
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
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Currently, most models proposed for spatio-temporal databases describe changes that involve independent entities. However, many dynamic applications need new models to relate evolution of spatial entities linked by common properties and constraints or relationships. In transportation GIS, an activity-event matrix describes individual entity behaviours, travel activities and routes on a transportation network. On the other hand, modelling disaggregate travel choices behaviour for several entities implies the identification of new mechanisms to describe the evolution of their joint spatial distribution. This paper introduces and describes the concept of sets of geographical entities needed for the analysis of travel behaviour in metropolitan areas. We propose a taxonomy for the description of the evolution of entity sets in space and the selection of appropriate statistical indexes to analyse their geographical patterns. Such a framework may become a reference for the development of spatio-temporal database representations of spatial patterns evolution.