Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1050002 | Landscape and Urban Planning | 2011 | 13 Pages |
Abstract
ⶠThis research develops a cellular automata model of urban growth with two scenarios: a baseline scenario that represents a continuation of current trends and an open space conservation scenario that builds upon the principles of smart growth and green infrastructure concepts. ⶠThe modeling approach applies cellular automata, Markov probabilities and multi-criteria evaluation to simulate five land cover classes simultaneously. ⶠThe transition rules for the CA_MARKOV module are set in the form of suitability maps based on MCE allowing for consideration of various factors that are commonly used in land use planning and decision. ⶠThe approach construes a basis for meaningful examination of the landscape dynamics under different scenarios, thus providing a useful planning and decision-making tool.
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Authors
Diana Mitsova, William Shuster, Xinhao Wang,