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Configuring the neighbourhood effect in irregular cellular automata based models
2016
International Journal of Geographical Information Science
Cellular automata (CA) models have been widely employed to simulate urban growth and land use change. In order to represent urban space more realistically, new approaches to CA models have explored the use of vector data instead of traditional regular grids. However, the use of irregular CA-based models brings new challenges as well as opportunities. The most strongly affected factor when using an irregular space is neighbourhood. Although neighbourhood definition in an irregular environment
doi:10.1080/13658816.2016.1219035
fatcat:bckchtzperc6dkg7mpfczmwfai