Dynamic modelling of future land-use change: A comparison between CLUE-S and Dinamica EGO models
文献类型：会议论文
| 作者 | Gao Zhiqiang |
| 出版日期 | 2012 |
| 会议名称 | Remote Sensing and Modeling of Ecosystems for Sustainability IX, August 16, 2012 - August 16, 2012 |
| 会议地点 | San Diego, CA, United states |
| 关键词 | Computer simulation Dynamic models Ecosystems Land use Markov processes Remote sensing Research Sustainable development |
| 英文摘要 | Land-use and land-cover change has been a research focus in global environmental change. Recent research found that land-use change could influence the structure of biogeochemical spheres as well as material and energy recycle directly or indirectly. Land-use dynamic models are considered as an effective technique to study the processes of land-use modification. The objective of this paper is to compare two widely use land-use dynamic models, CLUE-S and Dinamica EGO, from the perspective of land-use change amount, spatial characteristics, and their utility. A case study was conducted to examine the ascendants of each model and Kappa coefficient was used to compare the simulation accuracy. The modelling experiments reflected that the predictions of land-use change based on CLUE-S and Dinamica EGO matched broadly with actual situation. CLUE-S was better in overall accuracy whereas the Markov process in Dinamica EGO could precisely predict the amount of land-use change. Moreover, the spatial pattern of simulation map based on Dinamica EGO was more consistent with empirical result. Both results indicate their possible further applicability for forecasting future land-use change and corresponding studies. 2012 SPIE. |
| 收录类别 | EI |
| 会议录出版者 | SPIE |
| 语种 | 英语 |
| ISSN号 | 0277786X |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31053]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Gao Zhiqiang. Dynamic modelling of future land-use change: A comparison between CLUE-S and Dinamica EGO models[C]. 见:Remote Sensing and Modeling of Ecosystems for Sustainability IX, August 16, 2012 - August 16, 2012. San Diego, CA, United states. |
入库方式： OAI收割
来源：地理科学与资源研究所
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