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Conception of a GIS platform to simulate urban densification based on the analysis of topographic data

Anne Ruas 1 Julien Perret 1 Florence Curie 1 Anabelle Boffet-Mas Anne Puissant 2 Grzegorz Skupinski 2 Dominique Badariotti 2 Christiane Weber 2 Pierre Gancarski 3 N. Lachiche 3 Julien Lesbegueries 4 A. Braud 3
1 COGIT - Conception Objet et Généralisation de l'Information Topographique
2 LIVE - Laboratoire Image, Ville, Environnement [Strasbourg]
3 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection
4 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
Abstract : The aim of our research is to analyze the evolution of urbanization and to simulate it on specific areas. We focus on the evolution between 1950 and now. We analyse the densification by means of comparing temporal topographic data bases created from existing topographic data base and maps and photo from 1950. In this paper we present how a simulation works - which input data are used, which functions are used to densify the space and how the simulation works, is tuned and run - the densification method for each urban block illustrated with results, the method used during the project to build the required knowledge for simulation and we conclude and present the main research perspectives. The methods are implemented on a dedicated open source software named GeOpenSim.
Keywords : GIS urban densification
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Conference papers
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https://halshs.archives-ouvertes.fr/halshs-00627005
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Submitted on : Wednesday, June 16, 2021 - 12:12:40 PM
Last modification on : Friday, July 9, 2021 - 12:35:20 PM
Long-term archiving on: : Friday, September 17, 2021 - 6:37:02 PM

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ANR | LIUPPA | SITE-ALSACE | UNIV-PAU | CNRS | IGN-ENSG

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Anne Ruas, Julien Perret, Florence Curie, Anabelle Boffet-Mas, Anne Puissant, et al.. Conception of a GIS platform to simulate urban densification based on the analysis of topographic data. 25th General Assembly of the International Cartographic Association, Jul 2011, Paris, France. 12 p., ⟨10.1007/978-3-642-19214-2⟩. ⟨halshs-00627005⟩

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