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Cited by 30

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Space, Time, and Dynamics Modeling in Historical GIS Databases: A Fuzzy Logic Approach

Dragicevic, Suzana, Marceau, Danielle J, Marois, Claude·2001·Environment and Planning B: Planning and Design
DOI 10.1068/b2567
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Abstract

In this paper, a spatiotemporal interpolation approach for GIS modeling of urban growth dynamics is proposed. It is based on fuzzy logic theory using three different scenarios for temporal simulation, and two techniques for spatial simulation of urban change patterns. The notion of stages in the urban growth is taken into consideration as well as variables describing the speed and the mechanism of change. The simulation results are presented for three study sites from the north shore of the Montreal metropolitan area in Quebec, Canada, covering the period from 1956 to 1986. By comparing the simulation results with aerial photographs of the study area taken in 1958, 1971, 1975, and 1982, the proposed modeling approach is validated. The potential of this approach as a visualization technique is also discussed.

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Registry

Crossref · 10.1068/b2567

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 49 references

Research works printed but not linked: 12

  1. Allen P M, 1997, Geographical Systems, 4, 103
  2. Clark S C, 1996, Proceedings ASPRS/ACSM Annual Convention and Exhibition, 3, 101
  3. Hazelton N W J, 1992, Journal of the Urban and Regional Information Systems Association, 2, 47
  4. Heuvelink G, 1990, Proceedings of European Conference on Geographic Information Systems, 453
  5. Kemp Z, 1994, Innovations in GIS, 89
  6. Kirtland D, 1994, World Resource Review, 2, 206
  7. Marceau D J, Dragicevic S, 1998, “Linking space and time to model dynamics of change in a rural-urban environment” Proceedings of The Modeling of Complex Systems Conference New Orleans, LA, 12–17 July
  8. Marois C, 1998, Montreal 2001: Visage et défis d'une métropole, 83
  9. Statistics Canada, 1951, Census Data
  10. Thapa K, 1992, Photogrammetric Engineering and Remote Sensing, 6, 835
  11. US Army Cerl, 1993, GRASS4.1 User's Manual
  12. Xie Y, 1997, Geographical Systems, 4, 83

Cited by

See all 30

Metadata

Authors
Dragicevic, S., Marceau, D. J., & Marois, C.
Venue
Environment and Planning B: Planning and Design
Publisher
SAGE Publications
Published
2001-08
Volume
28
Issue
4
Pages
545-562
ISSN
  • 0265-8135
  • 1472-3417
DOI
10.1068/b2567
Cited by
30
References
49
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Space, Time, and Dynamics Modeling in Historical GIS Databases: A Fuzzy Logic Approach. https://app.cochat.ai/papers/10.1068/b2567
The paper
Dragicevic, S., Marceau, D. J., & Marois, C. (2001). Space, Time, and Dynamics Modeling in Historical GIS Databases: A Fuzzy Logic Approach. Environment and Planning B: Planning and Design. https://doi.org/10.1068/b2567

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.