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Simulating Urban Growth with Raster and Vector models: A case study for the city of Can Tho, Vietnam

Taillandier, Patrick, Banos, Arnaud, Drogoul, Alexis, Gaudou, Benoit, Marilleau, Nicolas and Truong, Chi Quang (2016) Simulating Urban Growth with Raster and Vector models: A case study for the city of Can Tho, Vietnam. In: International conference Autonomous Agents and Multiagent Systems (AAMAS 2016).

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Abstract

Urban growth has been widely studied and many models (in particular Cellular Automata and Agent-Based Models) have been developed. Most of these models rely on two representations of the geographic space: raster and vector. Both representations have their own strengths and drawbacks. The raster models are simpler to implement and require less data, which explains their success and why most of urban growth models are based on this representation. However, they are not adapted to microscopic dynamics such as, for example, the construction of buildings. To reach such goal, a vector-based representation of space is mandatory. However, very few vector models exist, and none of them is easily adaptable to different case studies. In this paper, we propose to use a simple raster model and to adapt it to a vector representation of the geographic space and processes allowing studying urban growth at fine scale. Both models have been validated by a case study concerning the city of Can Tho, Vietnam.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2016
Uncontrolled Keywords: Agent-based simulation - Urban growth - Raster model - Vector model
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 12 Mar 2019 09:05
Last Modified: 12 Mar 2019 09:05
URI: http://publications.ut-capitole.fr/id/eprint/29163

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