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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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

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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)


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


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  3. Yi Qiang, Seyed H Chavoshi, Steven Logghe, Philippe De Maeyer, and Nico Van De Weghe. Multi-scale analysis of linear data in a two-dimensional space. Information Visualization, 13(3):248-265, 2014. URL:
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  5. Yi Qiang, Matthias Delafontaine, Mathias Versichele, Philippe De Maeyer, and Nico Van de Weghe. Interactive Analysis of Time Intervals in a Two-Dimensional Space. Information Visualization, 11(4):255-272, 2012. URL:
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