The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 29-320
Full Name: Zhang Rongqun
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Geography informantion science, College of information and Electrical Engineering, China Agricultural University, Beijing, China
Country: CHINA
Tel: +8613522231405
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E-mail address: zhangrq@cau.edu.cn
Other E-mails: ankh2004@163.com
Title of the Paper: spatio-temporal location simulation of wetlands evolution of yinchuan city based on markov-ca model
Authors as they appear in the Paper: Zhang Rongqun Zhai Huiqing Tang Chengjie Ma Suhua
Email addresses of all the authors: zhangrq@cau.edu.cn,zhaihuiqing2008@gmail.com,tangchengjie@mail.clspi.org.cn,masuhua@mail.clspi.org.cn
Number of paper pages: 10
Abstract: Geographical Information System (GIS) is currently still in description and processing the static spatial data, it is difficult to express the dynamic data effectively and can not achieve the spatio-temporal analysis of geographical processes. Classic prediction models of geographic processes are based on larger geographic unit or administrative unit as the research object, not applying the high-resolution spatial information and achieving visual expression of simulation results. The expression of time, space and state in GIS is discrete. Cellular Automata (CA) is a grid dynamic model whose spatial interaction and time cause-effect relationship are local; its expression for time, space and state also is discrete. CA and GIS can be seamlessly combined so that the two could complement each other in spatio-temporal modeling. Markov combined with Cellular Automata model, under the support of GIS, can match the results of the classic prediction model with the spatial in!
formation at the micro scale, and achieve the analog integration of time, property and space. In this paper the Landsat images of 1991, 1999 and 2006 are used as the basic information source. After established the classification system and interpretation signs, we can get wetlands landscape distribution maps the three periods of Yinchuan Plain. The wetlands landscape distribution maps of 1991 and 1999 are used to set up the initial state matrix and transition probability matrix of wetland landscape types of the Yinchuan Plain. The approach of establishing the Markov-CA model is proposed, the transition rules and technical system of establishing these rules are explained in details. Finally using the established analog system, the evolution of Yinchuan Plain wetlands distribution status is simulated and the wetlands distribution map interpreted from TM image of 2006 is regarded as a true value to complete the accuracy analysis. The study result shows that the simulation mode!
l established by this method is able to meet the requirement of wetlan
ds evolution location simulation.
Keywords: Wetlands simulation, Spatio-temporal location simulation, Markov-CA, Transition probability transition rules, Yinchuan city
EXTENSION of the file: .pdf
Special (Invited) Session: simulation of wetlands evolution based on markov-ca model
Organizer of the Session: 613-354
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