Simulating urban growth boundaries using a patch-based cellular automaton with economic and ecological constraints
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Title
Simulating urban growth boundaries using a patch-based cellular automaton with economic and ecological constraints
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Volume -, Issue -, Pages 1-26
Publisher
Informa UK Limited
Online
2018-09-13
DOI
10.1080/13658816.2018.1514119
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- (2008) Arika Ligmann‐Zielinska et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Algorithm based on simulated annealing for land-use allocation
- (2007) Inés Santé-Riveira et al. COMPUTERS & GEOSCIENCES
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