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Re-arranging space, time and scales in GIS : alternative models for multi-scale spatio-temporal modeling and analyses

Yi Qiang (UGent) and Nico Van de Weghe (UGent)
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Abstract
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with complex temporal and spatial extents and the variation of data at multiple temporal and spatial scales. This article presents alternative representations that incorporate the scale dimension into time and space. The article first reviews a series of work about the triangular model (TM), which is a multi-scale temporal model. Then, it introduces the pyramid model (PM), which is the extension of the TM for spatial data, and demonstrates the utility of the PM in visualizing multi-scale spatial patterns of land cover data. Finally, it discusses the potential of integrating the TM and the PM into a unified framework for multi-scale spatio-temporal modeling. This article systematically documents the models with alternative arrangements of space and time and their applications in analyzing different types of data. Additionally, this article aims to inspire the re-thinking of organizations of space, time, and scales in the future development of GIS and analytical tools to handle the increasing quantity and complexity of spatio-temporal data.
Keywords
INTERACTIVE ANALYSIS, COASTAL LOUISIANA, INTERVALS, INFORMATION, space-time modeling, multi-scale analysis, spatial pattern, GIS, integrated framework

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MLA
Qiang, Yi, and Nico Van de Weghe. “Re-Arranging Space, Time and Scales in GIS : Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses.” ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, vol. 8, no. 2, 2019.
APA
Qiang, Y., & Van de Weghe, N. (2019). Re-arranging space, time and scales in GIS : alternative models for multi-scale spatio-temporal modeling and analyses. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 8(2).
Chicago author-date
Qiang, Yi, and Nico Van de Weghe. 2019. “Re-Arranging Space, Time and Scales in GIS : Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses.” ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8 (2).
Chicago author-date (all authors)
Qiang, Yi, and Nico Van de Weghe. 2019. “Re-Arranging Space, Time and Scales in GIS : Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses.” ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8 (2).
Vancouver
1.
Qiang Y, Van de Weghe N. Re-arranging space, time and scales in GIS : alternative models for multi-scale spatio-temporal modeling and analyses. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 2019;8(2).
IEEE
[1]
Y. Qiang and N. Van de Weghe, “Re-arranging space, time and scales in GIS : alternative models for multi-scale spatio-temporal modeling and analyses,” ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, vol. 8, no. 2, 2019.
@article{8643566,
  abstract     = {The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with complex temporal and spatial extents and the variation of data at multiple temporal and spatial scales. This article presents alternative representations that incorporate the scale dimension into time and space. The article first reviews a series of work about the triangular model (TM), which is a multi-scale temporal model. Then, it introduces the pyramid model (PM), which is the extension of the TM for spatial data, and demonstrates the utility of the PM in visualizing multi-scale spatial patterns of land cover data. Finally, it discusses the potential of integrating the TM and the PM into a unified framework for multi-scale spatio-temporal modeling. This article systematically documents the models with alternative arrangements of space and time and their applications in analyzing different types of data. Additionally, this article aims to inspire the re-thinking of organizations of space, time, and scales in the future development of GIS and analytical tools to handle the increasing quantity and complexity of spatio-temporal data.},
  articleno    = {72},
  author       = {Qiang, Yi and Van de Weghe, Nico},
  issn         = {2220-9964},
  journal      = {ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION},
  keywords     = {INTERACTIVE ANALYSIS,COASTAL LOUISIANA,INTERVALS,INFORMATION,space-time modeling,multi-scale analysis,spatial pattern,GIS,integrated framework},
  language     = {eng},
  number       = {2},
  pages        = {16},
  title        = {Re-arranging space, time and scales in GIS : alternative models for multi-scale spatio-temporal modeling and analyses},
  url          = {http://dx.doi.org/10.3390/ijgi8020072},
  volume       = {8},
  year         = {2019},
}

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