Citation: | KANG Junfeng, LI Shuang, FANG Lei. Land Use Change Prediction Method Based on CA-Markov Model Under Cloud Computing Environment[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 1021-1026, 1034. DOI: 10.13203/j.whugis20180319 |
[1] |
李秀彬.全球环境变化研究的核心领域—土地利用/土地覆被变化的国际研究动向[J].地理学报, 1996, 51(6):558-565
Li Xiubin. A Review of the International Researches on Land Use/Land Cover Change[J]. Acta Geographica Sinica, 1996, 51(6): 558–565
|
[2] |
Wijesekara G N, Farjad B, Cupta A, et al. A Comprehensive Land-Use/Hydrological Modeling System for Scenario Simulations in the Elbow River Watershed, Alberta, Canada[J]. Environmental Mana-gement, 2014, 53(2): 357-381 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=0d74809ebe15ec588c323350c7e60b7b
|
[3] |
Verburg P H, Overmars K P. Combining Top-Down and Bottom-Up Dynamics in Land Use Modeling: Exploring the Future of Abandoned Farmlands in Europe with the Dyna-CLUE Model[J]. Landscape Ecology, 2009, 24(9): 1 167 doi: 10.1007/s10980-009-9355-7
|
[4] |
Luo G, Yin C, Chen X, et al. Combining System Dynamic Model and CLUE-S Model to Improve Land Use Scenario Analyses at Regional Scale: A Case Study of Sangong Watershed in Xinjiang, China[J]. Ecological Complexity, 2010, 7(2): 198-207
|
[5] |
Clarke K C, Hoppen S, Gaydos L, et al. Modifying Historical Urbanization in the San Franeisco Bay Area[J]. Environment and Planning B: Planning and Design, 1997, 24(2): 247-261 doi: 10.1068/b240247
|
[6] |
Fu X, Wang X H, Yang Y J. Deriving Suitability Factors for CA-Markov Land Use Simulation Model Based on Local Historical Data[J]. Journal of Environmental Management, 2018, 206: 10-19 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=4cbce65eb9c77d2d6955a3772e46fdb6
|
[7] |
Le Q B, Park S J, Vlek P L G, et al. Land-Use Dynamic Simulator (LUDAS): A Multi-Agent System Model for Simulating Spatio-Temporal Dynamics of Coupled Human-Landscape System. I. Structure and Theoretical Specification[J]. Ecological Informatics, 2008, 3(2): 135-153 doi: 10.1016/j.ecoinf.2008.04.003
|
[8] |
Dietzel C, Clarke K C. Toward Optimal Calibration of the SLEUTH Land Use Change Model[J]. Transactions in GIS, 2007, 11(1): 29-45 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1111/j.1467-9671.2007.01031.x
|
[9] |
Hu Z, Lo C P. Modeling Urban Growth in Atlanta Using Logistic Regression[J]. Computers, Environment and Urban Systems, 2007, 31(6): 667-688 doi: 10.1016/j.compenvurbsys.2006.11.001
|
[10] |
Memarian H, Balasundram S K, Talib J B, et al. Validation of CA-Markov for Simulation of Land Use and Cover Change in the Langat Basin, Malaysia[J]. Journal of Geographic Information System, 2012, 4(6): 542-554 doi: 10.4236/jgis.2012.46059
|
[11] |
Liu X H, Andersson C.Assessing the Impact of Temporal Dynamics on Land-Use Change Modeling[J]. Computers, Environment and Urban Systems, 2004, 28:107-124 doi: 10.1016/S0198-9715(02)00045-5
|
[12] |
Keeley J E, Zedler P H. Large, High-Intensity Fire Events in Southern California Shrublands: Debunking the Fine-Grain Age Patch Model[J]. Ecological Applications, 2009, 19(1): 69-94
|
[13] |
Araya Y H. Analysis and Modeling of Urban Land Cover Change in Setúbal and Sesimbra, Portugal[J]. Remote Sensing, 2010, 2(6): 1 549-1 563 doi: 10.3390/rs2061549
|
[14] |
Guan Q F, Clarke K C. A General-Purpose Parallel Raster Processing Programming Library Test Application Using a Geographic Cellula Automata Model[J]. International Journal of Geographical Information Science, 2010, 24 (5):695-722 doi: 10.1080/13658810902984228
|
[15] |
Li X, Zhang X H, Ye H A, et al. Parallel Cellular Automata for Large-Scale Urban Simulation Using Load-Balancing Techniques[J]. International Journal of Geographical Information Science, 2010, 24(6):803-820 doi: 10.1080/13658810903107464
|
[16] |
李丹, 黎夏, 刘小平, 等. GPU-CA模型及大尺度土地利用变化模拟[J].科学通报, 2012(11): 959-969 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kxtb201211011
Li Dan, Li Xia, Liu Xiaoping, et al. GPU-CA Model and Large-scale Land Use Change Simulation[J]. Chinese Science Bulletin, 2012(11):959-969 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kxtb201211011
|
[17] |
Wang H J, Zhang A Q, Zhang W T, et al.A High-Performance Cellular Automata Model for Urban Simulation Based on Vectorization and Parallel Computing Technology[J]. International Journal of Geographical Information Science, 2018, 32(2): 399-424 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1080/13658816.2017.1390118
|
[18] |
Guan Q F, Shi X, Huang M Q, et al. A Hybrid Parallel Cellular Automata Model for Urban Growth Simulation over GPU/CPU Heterogeneous Architectures[J]. International Journal of Geographical Information Science, 2016, 30 (3): 494-514 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1080/13658816.2015.1039538
|
[19] |
姚晓闯, 杨建宇, 李林, 等.云环境下海量空间矢量数据并行划分算法[J].武汉大学学报·信息科学版, 2018, 43(7):1 092-1 097 doi: 10.13203/j.whugis20160271
Yao Xiaochuang, Yang Jianyu, Li Lin, et al. Parallel Algorithm for Partitioning Massive Spatial Vector Data in Cloud Environment[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7):1 092-1 097 doi: 10.13203/j.whugis20160271
|
[20] |
Almeer M H. Cloud Hadoop Map Reduce for Remote Sensing Image Analysis[J]. Journal of Emerging Trends in Computing and Information Science, 2012, 3(4):637-644
|
[21] |
吴翼平.多准则评价方法的评价[J].决策与决策支持系统, 1994(1):74-80 http://d.old.wanfangdata.com.cn/Periodical/xnjtdxxb200301021
Wu Yiping. The Evaluation of the Multieriteria Evaluation Methods[J]. Journal of Decision and Decision Support Systems, 1994(1):74-80 http://d.old.wanfangdata.com.cn/Periodical/xnjtdxxb200301021
|
[1] | WANG Yinjie, LIU Dianfeng. Multi‐scenario Simulation of Land Use Change and Its Effects Under Requisition‐Compensation Balance of Arable Land[J]. Geomatics and Information Science of Wuhan University, 2023, 48(9): 1499-1511. DOI: 10.13203/j.whugis20210144 |
[2] | YUAN Xiaolei, WANG Chao, LI Boyan, WANG Wei, CHEN Nengcheng. Review of the Driving Forces and Impacts of Land Use/Cover Change in the Yangtze River Basin[J]. Geomatics and Information Science of Wuhan University, 2023, 48(8): 1241-1255. DOI: 10.13203/j.whugis20210368 |
[3] | FENG Mengzhe, HE Jianhua, TANG Qinghui. Counterfactual Scenario Simulation and Evaluation of the Land-Use and Land-Cover Change of Jiayu County[J]. Geomatics and Information Science of Wuhan University, 2013, 38(9): 1122-1125. |
[4] | CHEN Jiangping, HAN Qing, HU Jing, ZHANG Penglin. Multi-scale Correlation Analysis on Land-Use Change and Economic Factors in a Typical Region of Wavelet Transforming[J]. Geomatics and Information Science of Wuhan University, 2013, 38(9): 1118-1121. |
[5] | NONG Yu, WANG Kun, DU Qingyun. Modeling Land Use Change Using Multinomial Logistic Regression[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 743-746. |
[6] | XIONG Hua, LIU Yaolin, CHE Shanshan, ZHANG Junfeng. Land Use Change Simulation Model Based on Support Vector Machine[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 366-369. |
[7] | WANG Hanhua, LIU Yanfang. Optimal Allocation of Land Resources Based on MOP-CA[J]. Geomatics and Information Science of Wuhan University, 2009, 34(2): 174-177. |
[8] | YANG Guoqing, LIU Yaolin, WU Zhifeng. Analysis and Simulation of Land-Use Temporal and Spatial Pattern Based on CA-Markov Model[J]. Geomatics and Information Science of Wuhan University, 2007, 32(5): 414-418. |
[9] | ZHANG Hong, SHU Ning, . Application of Multitemporal Composition and Classification to Land Use Change Detection[J]. Geomatics and Information Science of Wuhan University, 2005, 30(2): 131-134. |
[10] | XIAO Ping, LI Deren. Land Use/Cover Change Detection Based on Artificial Neural Network[J]. Geomatics and Information Science of Wuhan University, 2002, 27(6): 586-590. |