Interoperable scenario simulation of land-use policy for Beijing–Tianjin–Hebei region, China
暂无分享,去创建一个
Jiayang Li | Hongbin Wang | Xinqi Zheng | Xinqi Zheng | Yongqiang Lv | Dongya Liu | Chunxiao Zhang | Chunxiao Zhang | Yongqiang Lv | Xin-qi Zheng | Jiayang Li | Hongbin Wang | Dongya Liu
[1] Lin Xiao,et al. Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China , 2016 .
[2] Lu Dai,et al. Simulation of urban expansion patterns by integrating auto-logistic regression, Markov chain and cellular automata models , 2015 .
[3] Wenzhong Shi,et al. Development of Voronoi-based cellular automata -an integrated dynamic model for Geographical Information Systems , 2000, Int. J. Geogr. Inf. Sci..
[4] Youjia Liang,et al. Modeling urban growth in the middle basin of the Heihe River, northwest China , 2014, Landscape Ecology.
[5] Norio Okada,et al. Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China , 2006 .
[6] P. Kyle,et al. Land‐use change trajectories up to 2050: insights from a global agro‐economic model comparison , 2014 .
[7] R. White,et al. High-resolution integrated modelling of the spatial dynamics of urban and regional systems , 2000 .
[8] Jiyuan Liu,et al. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s , 2014, Journal of Geographical Sciences.
[9] F. Wu,et al. Simulation of Land Development through the Integration of Cellular Automata and Multicriteria Evaluation , 1998 .
[10] Y. Hayashi,et al. Application of an integrated system dynamics and cellular automata model for urban growth assessment: A case study of Shanghai, China , 2009 .
[11] Jamal Jokar Arsanjani,et al. ntegration of logistic regression , Markov chain and cellular automata odels to simulate urban expansion amal , 2012 .
[12] B. Amiri,et al. Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City, Iran , 2015 .
[13] Xiaoping Liu,et al. An extended cellular automaton using case‐based reasoning for simulating urban development in a large complex region , 2006 .
[14] Rinku Roy Chowdhury,et al. Does zoning matter? A comparative analysis of landscape change in Redland, Florida using cellular automata , 2014 .
[15] Hongbin Wang,et al. A new temporal–spatial dynamics method of simulating land-use change , 2017 .
[16] J. Bouma,et al. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use , 1999 .
[17] Hualin Xie,et al. Exploring the factors influencing ecological land change for China's Beijing–Tianjin–Hebei Region using big data , 2017 .
[18] Xiubing Li,et al. Urban land expansion and arable land loss in China - a case study of Beijing-Tianjin-Hebei region , 2005 .
[19] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[20] Patrick Hostert,et al. Uncovering land-use dynamics driven by human decision-making - A combined model approach using cellular automata and system dynamics , 2012, Environ. Model. Softw..
[21] 中華人民共和国国家統計局. China statistical yearbook , 1988 .
[22] Hualin Xie,et al. Spatial disparities of regional forest land change based on ESDA and GIS at the county level in Beijing-Tianjin-Hebei area , 2012, Frontiers of Earth Science.
[23] H. Mooney,et al. Human Domination of Earth’s Ecosystems , 1997, Renewable Energy.
[24] Tong Xu,et al. Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations , 2016, Environ. Model. Softw..
[25] Hai-long Ma,et al. Exploring the relationship between urbanization and the eco-environment-A case study of Beijing-Tianjin-Hebei region , 2014 .
[26] B. Pijanowski,et al. Urban expansion and its consumption of high-quality farmland in Beijing, China , 2015 .
[27] Roger White,et al. Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns , 1993 .
[28] Xingjian Liu,et al. Simulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China , 2013 .
[29] H. Tian,et al. Spatial and temporal patterns of China's cropland during 1990¿2000: An analysis based on Landsat TM data , 2005 .
[30] Xiaoping Liu,et al. Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy , 2014, Int. J. Geogr. Inf. Sci..
[31] Xiangzheng Deng,et al. Land-use/land-cover change and ecosystem service provision in China. , 2017, The Science of the total environment.
[32] Mark Brussel,et al. Logistic regression and cellular automata-based modelling of retail, commercial and residential development in the city of Ahmedabad, India , 2014 .
[33] G H Huang,et al. A system dynamics approach for regional environmental planning and management: a study for the Lake Erhai Basin. , 2001, Journal of environmental management.
[34] Jian Peng,et al. Spatial identification of multifunctional landscapes and associated influencing factors in the Beijing-Tianjin-Hebei region, China , 2016 .