LIPIcs.GISCIENCE.2018.55.pdf
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Novel Models for Multi-Scale Spatial and Temporal Analyses (Short Paper)
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Yi Qiang 
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10th International Conference on Geographic Information Science (GIScience 2018)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Geographic Information Science (GIScience) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-08-02
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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
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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