Supporting complex spatiotemporal analysis in GIS

Leech, Helen K.; Kemp, Zarine P.

doi:10.4324/9780203478776_chapter_fourteen

Cited by 3 publications

(1 citation statement)

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“…It should be able to model disaggregate travel behavior with a minimum loss of semantic richness by: (1) modeling the properties and behavior of the spatio-temporal entities, and (2) modeling simple and complex spatio-temporal relationships between those entities. The database should sustain seamless spatio-temporal queries (Peuquet 1994, Yuan 1994, Lee and Kemp 1998. According to Sinton (1978), geographical queries are built on a fundamental rule: fix, control and measure.…”

Section: Study Objectivesmentioning

confidence: 99%

Spatio‐Temporal Object‐Oriented Data Model for Disaggregate Travel Behavior

Frihida

Marceau

Thériault

2002

Transactions in GIS

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The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggregate trip surveys are conducted and large numbers of observations are collected. To efficiently exploit these surveys, the transfer of the individual trip data to a GIS must start with the development of a solid conceptual data model that fully captures the semantic richness of the application domain and emphasizes its spatio-temporal properties. This paper presents a data modeling process that is based on a combination of complex system theory and the objectoriented paradigm and produced an object-oriented spatio-temporal data model. Main domain entities are modeled as highly structured classes. They encapsulate a memory of their time bound connections and states. Observation data sets are sampled from the origin-destination survey conducted in the QueÂ bec region in 1991. This survey incorporated street networks and activity places. The model was smoothly implemented into a proof-of-concept database prototype hosted by an object-oriented GIS shell. The prototype offers a means to navigate through a nested hierarchy of objects, providing a description of an individual's travel behavior over space and time. The objects have a solid conceptual basis and can meet the needs of scientific research such as hypothesis formulation, simulation, forecasting and induction.

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Section: Study Objectivesmentioning

confidence: 99%