By Topic

Modelling Land Use Changes of Suburban Area with Geographic Cellular Model and GIS: A Case Study in Minhang District of Shanghai, China

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Feng Yongjiu ; Coll. of Marine Sci., Shanghai Ocean Univ., Shanghai, China ; Han Zhen

Because of its strong ability in capture the nature of complex systems, cellular automata (CA) have been widely used to simulate suburban land use changes and urban pattern evolution. Driving forces impacting suburban land use changes could be derived from the multi-temporal remotely sensed imageries to retrieve the transition rules of geographic CA (geo-CA). With the images of two stages ranging 16 years, a CA model based on logistic regression was accurately calibrated. Under a GIS environment, the suburban land use changes in Minhang district of Shanghai are simulated with this geo-CA model from 1992 to 2008. Confusion (error) matrix and the Kappa coefficient between the simulation results generated by the Geo-CA model and the classified images from remote sensing images were calculated. This research has proved that the Geo-CA models are especially appropriate for modelling land use and cover changes of suburban areas.

Published in:

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference:

19-20 Dec. 2009