Novel Models for Multi-Scale Spatial and Temporal Analyses (Short Paper)

Qiang, Yi; Buttenfield, Barbara P.; Lam, Nina; Van de Weghe, Nico

doi:10.4230/LIPIcs.GISCIENCE.2018.55

Abstract

Multi-scale analysis for spatio-temporal data forms a fundamental challenge for many analytic systems. In geographic information systems, analysis and modeling at pre-defined spatial and temporal scales may miss critical relationships in other scales. Previous studies have investigated the uses of the triangle model as a multi-scale framework in analyzing temporal data. This article demonstrates the utilities of the triangle model and pyramid model for multi-scale spatial analysis through real-world analytical tasks and discusses the potential of developing a unified modeling framework that integrates the two models.

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Yi Qiang, Barbara P. Buttenfield, Nina Lam, and Nico Van de Weghe. Novel Models for Multi-Scale Spatial and Temporal Analyses (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 55:1-55:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.55

Author Details

Yi Qiang

University of Hawaii - Manoa, Honolulu, HI, the United States

Barbara P. Buttenfield

University of Colorado - Boulder, Boulder, CO, the United States

Nina Lam

Louisiana State University, Baton Rouge, LA, the United States

Nico Van de Weghe

Ghent University, Ghent, Belgium

References

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Novel Models for Multi-Scale Spatial and Temporal Analyses (Short Paper)

Authors Yi Qiang , Barbara P. Buttenfield, Nina Lam, Nico Van de Weghe

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