A cellular automata model based on irregular cells: application to small urban areas
AbstractWe present in this paper the development and application of a cellular automata model that uses irregular cells for simulating land-use change instead of the common regular cells based on the pixels of remote sensing images. The use of irregular cells combines urban form with reliable demographic, socioeconomic, and building data that are usually available for irregular census blocks. The calibration of the model is made through a procedure based on a particle swarm algorithm that optimises a measure of agreement derived from the kappa index for contingency matrices. The model was applied for simulating urban change in a small municipality in Portugal that registered high growth rates during the 1990s. Simulation results indicate the model’s ability to capture land-use change in small urban areas.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.
Volume (Year): 37 (2010)
Issue (Month): 6 (November)
Contact details of provider:
Web page: http://www.pion.co.uk
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond).
If references are entirely missing, you can add them using this form.