david pritchard. bibliography.

Keyword: "geographic information systems"

[1] Christophe Claramunt and B. Jiang. An integrated representation of spatial and temporal relationships. Geographical Systems, 3(4):154-159, 2001. [ bib ]
Keywords: computer science, geographic information systems
[2] Christophe Claramunt, Christine Parent, and Marius Thériault. Design patterns for spatio-temporal processes. In Stefano Spaccapietra and F. Maryanski, editors, Searching for Semantics: Data Mining, Reverse Engineering, pages 415-428. Chapman & Hall, 1997. [ bib | http ]
Keywords: computer science, geographic information systems, ilute
[3] M.J. Egenhofer and R.G. Golledge, editors. Spatial and temporal reasoning in geographic information systems. Oxford University Press, New York City, NY, USA, 1998. [ bib ]
Keywords: geographic information systems
[4] Nils Ferrand. Multi-reactive agents paradigm for spatial modelling. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 167-184. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling
[5] Manfred M. Fischer. Spatial interaction models and the role of the geographic information systems. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 33-43. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling
[6] A. Stewart Fotheringham. GIS-based spatial modelling: A step forwards or a step backwards? In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 21-30. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling
[7] A. Stewart Fotheringham and Michael Wegener, editors. Spatial Models and GIS: New Potential and New Models. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling
[8] Einer Holm, Urban Lindgren, and Gunnar Malmberg. Dynamic microsimulation. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 143-165. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling
[9] John D. Landis and Ming Zhang. Using GIS to improve urban activity and forecasting models: three examples. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 63-81. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling
[10] Helène Mathian, Boguslaw Mikula, and Lena Sanders. Modelling the dynamics of spatial systems within a GIS: Problems and perspectives. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 203-221. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling
[11] N. Noël, P. Villeneuve, and Martin E.H. Lee-Gosselin. Aménagement du territoire et espaces d'action: identification des déterminants des stratégies de déplacements de cyclistes de la région de Québec à l'aide d'un SIG. Revue internationale de géomatique, 11(3-4):79-101, 2001. [ bib ]
Keywords: bicycle planning, geographic information systems, canada
[12] Christine Parent, Stefano Spaccapietra, and Esteban Zimányi. Spatio-temporal conceptual models: Data structures + space + time. In Proceedings of the 7th ACM Symposium on Advances in GIS, Kansas City, KA, USA, November 1999. [ bib | .pdf ]
Nowadays, many applications need data modeling facilities for the description of complex objects with spatial and/or temporal facilities. Responses to such requirements may be found in Geographic Information Systems (GIS), in some DBMS, or in the research literature. However, most of existing models cover only partly the requirements (they address either spatial or temporal modeling), and most are at the logical level, hence not well suited for database design. This paper proposes a spatio-temporal modeling approach at the conceptual level, called MADS. The proposal stems from the identification of the criteria to be met for a conceptual model. It is advocated that orthogonality is the key issue for achieving a powerful and intuitive conceptual model. Thus, the proposal focuses on highlighting similarities in the modeling of space and time, which enhance readability and understandability of the model.

Keywords: computer science, geographic information systems
[13] Poulicos Prastacos and Manolis Diamandakis. Applying GIS technology in operational urban models. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 223-234. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling
[14] Stefano Spaccapietra, Christine Parent, and Christelle Vangenot. GIS databases: From multiscale to multirepresentation. In B.Y. Choueiry and T. Walsh, editors, Abstraction, Reformulation and Approximation, number 1864 in LNAI. Springer-Verlag, July 2000. [ bib | .pdf ]
Cartography is one of the major application areas using geographical databases. Whether it is for the business of producing paper maps for sale, or whether it is for displaying maps on a screen to visualize the result of a query, we need computer systems that know how to represent the same geographical area at different scales. The concept of multiscale database has become popular in the GIS domain as a way to enforce consistency between representations and reduce the global update load. Scaling, however, is just one of the facets that may lead to keeping several representations for the same real-world object. Viewpoint and classification are two major abstractions in the design process that also generate multiple representations. This paper investigates the generic issues and solutions to achieve flexible support of multiple representation in a GIS database.

Keywords: computer science, geographic information systems
[15] Stefano Spaccapietra, Christine Parent, and Esteban Zimányi. Modeling time from a conceptual perspective. In Proceedings of International Conference on Information and Knowledge Management, Washington, D.C., USA, November 1998. [ bib ]
Although many temporal models have been proposed in the literature, there is still need for a conceptual model capturing the essential semantics of time-varying information that is free of implementation concerns. This paper first discusses important criteria to be considered when assessing the ÒconceptualÓ quality of a temporal model. Then, it presents the main temporal features of MADS, a spatio-temporal conceptual model. The focus is on identifying issues that are either open or controversial, and discussing alternatives, if any. Finally, it is shown how the model may be implemented on top of either TSQL2 or a traditional, non-temporal data model.

Keywords: computer science, geographic information systems
[16] Klaus Spiekermann and Michael Wegener. Freedom from the tyranny of zones: Towards new GIS-based spatial models. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 45-61. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling, equity
[17] Marius Thériault, Christophe Claramunt, and P. Villeneuve. A spatio-temporal taxonomy for the representation of spatial set behaviours. In M. Böhlen, C. Jensen, and M. Scholl, editors, Spatio-temporal Database Management, number 1678 in LNCS, pages 1-19. Springer-Verlag, 1999. [ bib | http ]
Keywords: computer science, geographic information systems, ilute

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