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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ping Luo Xue Cao Hongga Li Manchun Li |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute of Remote Sensing Applications Chinese Academy of Sciences, 100101, Beijing, China (Hongga Li) || School of Geographic and Oceanographic Sciences, Nanjing University, 210093, Nanjing, China (Xue Cao; Manchun Li) || Center for Assessment and Development of Land and Real Estate, Shenzhen, 518034, Shenzhen, China (Ping Luo) |
| Abstract | Based on the advantages of single model in the field of land use simulation, This research construct a Markov-logistic-CA integrated model to reflect the land use change precisely considering both sides of macroscopic and microscopic factors. The conventional CA model is extended from two aspects including iteration times and conversion rules by Markov and Logistic respectivly. Finally the integrated model software is developed by VC. NET language and tested in the shenzhen city. The experimental result shows that Markov-logistic-CA model can better simulate and predict the situation of land use change rationally, and the result reached the expectant aim from the model accuracy test. It is conclusion that the Markov-logistic-CA model is a good tool to make decision for local government and have powerful computation function in complicated geographical system. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1482582 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424473014 |
| e-ISBN | 9781424473038 |
| DOI | 10.1109/GEOINFORMATICS.2010.5567756 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Biological system modeling Computational modeling Markov Land use change Markov processes Predictive models Cities and towns Cellular automata Siumulation Logistic Logistics |
| Content Type | Text |
| Resource Type | Article |
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