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This digital document is an article from Cartography and Geographic Information Science, published by Thomson Gale on October 1, 2005. The length of the article is 5046 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: An artificial-neural-network-based, constrained CA model for simulating urban growth.(cellular automata)
Author: Qingfeng Guan
Publication: Cartography and Geographic Information Science (Magazine/Journal)
Date: October 1, 2005
Publisher: Thomson Gale
Volume: 32 Issue: 4 Page: 369(12)

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