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

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Document Identifiers

DOI: 10.4230/LIPIcs.GISCIENCE.2018.55
URN: urn:nbn:de:0030-drops-93832

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

Cite AsGet BibTex

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

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.

Subject Classification

ACM Subject Classification

Information systems → Geographic information systems

Keywords

Triangle Model
Pyramid Model
multi-scale spatial and temporal analysis
GIS

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References

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