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Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.42
The Use of Particle Swarm Optimization for a Vector Cellular Automata Model of Land Use Change (Short Paper)

Authors: Yi Lu and Shawn Laffan

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Cellular automata (CA) is an important area of research in GIScience, with recent research developing vector-based models in addition to the traditional raster data formats. One active area of research is the calibration of transition rules, particularly when applied to vector CA. Here we evaluate a particle swarm optimization (PSO) process to calibrate a vector CA model of land use change for a sub-region of Ipswich in Queensland, Australia, for the period 1999-2016. We compare the results with those for a raster CA of the same dataset. The spatial indices of the vector PSO-CA model exceed that of the raster model, with spatial accuracies being 82.45% and 76.47%, respectively. In addition, the vector PSO-CA model achieved a higher kappa coefficient. Vector-based PSO-CA model can be used for the exploration of urbanization process and provide a better understanding of land use change.
Cite as

Yi Lu and Shawn Laffan. The Use of Particle Swarm Optimization for a Vector Cellular Automata Model of Land Use Change (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 42:1-42:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{lu_et_al:LIPIcs.GISCIENCE.2018.42,
  author =	{Lu, Yi and Laffan, Shawn},
  title =	{{The Use of Particle Swarm Optimization for a Vector Cellular Automata Model of Land Use Change}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{42:1--42:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.42},
  URN =		{urn:nbn:de:0030-drops-93702},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.42},
  annote =	{Keywords: Vector cellular automata (CA), Particle swarm optimization (PSO), Land use simulation, Ipswich}
}
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