The introduction of spatio-temporal information in database systems presents us with an important data modelling challenge: the design of data models general and powerful enough to handle conventional thematic data, purely temporal or spatial concepts and spatio-temporal concepts. General purpose DBMS (e.g., relational) are not appropriate for storing and manipulating spatio-temporal data becau...

Marcin Jureka & Matthias Katzfussb*a Department of Statistics and Data Science, University Texas at Austin, TX; b Statistics, A&M University, College Station, TX

We describe DISTIL (DIstributed design of SpaTIo-temporaL data), a web-based conceptual modeling prototype system that can help capture the semantics of spatio-temporal data. Via DISTIL, we describe an annotationbased approach that divides spatio-temporal conceptual design into two steps: first capture the current reality of an application using a conventional conceptual model without consideri...

This research demonstrates the application of association rule mining to spatio-temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A → B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio-temporal association rule occurs when there is a spatio-temporal relationship in th...

A query optimizer requires cost models to calculate the costs of various access plans for a query. An effective method to estimate the number of disk (or page) accesses for spatio-temporal queries has not yet been proposed. The TPR-tree is an efficient index that supports spatio-temporal queries for moving objects. Existing cost models for the spatial index such as the R-tree do not accurately ...