• Journal of Geo-information Science
  • Vol. 22, Issue 3, 531 (2020)
Jingdu ZHANG1、1, Zhixiong MEI1、1、2、2、*, Jiahui LV1、1, and Jinzhao CHEN1、1
Author Affiliations
  • 1School of Geography, South China Normal University, Guangzhou 510631, China
  • 1华南师范大学地理科学学院, 广州 510631
  • 2Center for Sustainable Development of Rural and Town in Guangdong-Hong Kong-Marco Greater Bay Area, South China Normal University, Guangzhou 510631, China
  • 2华南师范大学粤港澳村镇可持续发展研究中心, 广州 510631
  • show less
    DOI: 10.12082/dqxxkx.2020.190359 Cite this Article
    Jingdu ZHANG, Zhixiong MEI, Jiahui LV, Jinzhao CHEN. Simulating Multiple Land Use Scenarios based on the FLUS Model Considering Spatial Autocorrelation[J]. Journal of Geo-information Science, 2020, 22(3): 531 Copy Citation Text show less
    References

    [1] 戴声佩, 张勃. 基于CLUE-S模型的黑河中游土地利用情景模拟研究——以张掖市甘州区为例[J]. 自然资源学报, 2013,28(2):336-348. [ Dai SP, ZhangB. Land use change scenarios simulation in the middle reaches of the Heiheriver basinbased on CLUE-S model: A case of Ganzhou District of Zhangye city[J]. Journal of Natural Resources, 2013,28(2):336-348. ] [ Dai S P, Zhang B. Land use change scenarios simulation in the middle reaches of the Heiheriver basinbased on CLUE-S model: A case of Ganzhou District of Zhangye city[J]. Journal of Natural Resources, 2013,28(2):336-348. ]

    [2] 卞子浩, 马小雪, 龚来存, 等. 不同非空间模拟方法下CLUE-S模型土地利用预测——以秦淮河流域为例[J]. 地理科学, 2017,37(2):252-258. [ Bian ZH, Ma XX, Gong LC, et al. Land use prediction based on CLUE-S model under different non-spatial simulation methods: A case study of the Qinhuai river watershed[J]. Scientia Geographical Sinica, 2017,37(2):252-258. ] [ Bian Z H, Ma X X, Gong L C, et al. Land use prediction based on CLUE-S model under different non-spatial simulation methods: A case study of the Qinhuai river watershed[J]. Scientia Geographical Sinica,2017,37(2):252-258. ]

    [3] 梁友嘉, 徐中民, 钟方雷. 基于SD和CLUE-S模型的张掖市甘州区土地利用情景分析[J]. 地理研究, 2011,30(3):564-576. [ Liang YJ, Xu ZM, Zhong FL. Land use scenario analyses by based on system dynamic model and CLUE-S model at regional scale: A case study of Ganzhou District of Zhangye city[J]. Geographical Research, 2011,30(3):564-576. ] [ Liang Y J, Xu Z M, Zhong F L. Land use scenario analyses by based on system dynamic model and CLUE-S model at regional scale: A case study of Ganzhou District of Zhangye city[J]. Geographical Research, 2011,30(3):564-576. ]

    [4] 王保盛, 廖江福, 祝薇, 等. 基于历史情景的FLUS模型邻域权重设置——以闽三角城市群2030年土地利用模拟为例[J]. 生态学报, 2019,39(12):4284-4298. [ Wang BS, Liao JF, ZhuW, et al. The weight of neighborhood setting of the FLUS model based on a historical scenario: A case study of land use simulation of urban agglomeration of the golden triangle of southern Fujian in 2030[J]. Acta EcologicaSinica, 2019,39(12):4284-4298. ] [ Wang B S, Liao J F, Zhu W, et al. The weight of neighborhood setting of the FLUS model based on a historical scenario: A case study of land use simulation of urban agglomeration of the golden triangle of southern Fujian in 2030[J]. Acta EcologicaSinica, 2019,39(12):4284-4298. ]

    [5] 黎夏, 叶嘉安. 基于神经网络的元胞自动机及模拟复杂土地利用系统[J]. 地理研究, 2005,24(1):19-27. [ LiX, Yeh AG. Cellular automata for simulating complex land use systems using neural networks[J]. Geographical Research, 2005,24(1):19-27. ] [ Li X, Yeh A G. Cellular automata for simulating complex land use systems using neural networks[J]. Geographical Research, 2005,24(1):19-27. ]

    [6] 曹雪, 罗平, 李满春, 等. 基于扩展CA模型的土地利用变化时空模拟研究——以深圳市为例[J]. 资源科学, 2011,33(1):127-133. [ CaoX, LuoP, Li MC, et al. Spatio-temporal simulation of land use change based on a extended CA model:A case study of Shenzhen city, China[J]. Resources Science, 2011,33(1):127-133. ] [ CaoX, Luo P, Li M C, et al. Spatio-temporal simulation of land use change based on a extended CA model:A case study of Shenzhen city, China[J]. Resources Science, 2011,33(1):127-133. ]

    [7] The simulation of LUCC based on Logistic-CA-Markov model in Qilian Mountain area, China[J]. Sciences in Cold and Arid Regions, 8, 350-358(2016).

    [8] Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore[J]. International Journal of Geographical Information Systems, 12, 699-714(1998).

    [9] Simulation of urban expansion patterns by integrating auto-logistic regression, Markov chain and cellular automata models[J]. Journal of Environmental Planning and Management, 58, 1113-1136(2015).

    [10] 严冬, 李爱农, 南希, 等. 基于Dyna-CLUE改进模型和SD模型耦合的山区城镇用地情景模拟研究——以岷江上游地区为例[J]. 地球信息科学学报, 2016,18(4):514-525.

    [11] Simulating land-use changes by incorporating spatial autocorrelation and self-organization in CLUE-S modeling: A case study in Zengcheng District, Guangzhou, China[J]. Frontiers of Earth Science, 12, 299-310(2018).

    [12] Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal[J]. Computers, Environment and Urban Systems, 26, 525-552(2002).

    [13] 詹云军, 朱捷缘, 严岩. 基于元胞自动机的城市空间动态模拟[J]. 生态学报, 2017,37(14):4864-4872. [ Zhan YJ, Zhu JY, YanY. Dynamic simulation of urban space based on the SLEUTH model[J]. Acta EcologicaSinica, 2017,37(14):4864-4872. ] [ Zhan Y J, Zhu J Y, Yan Y. Dynamic simulation of urban space based on the SLEUTH model[J]. Acta EcologicaSinica,2017,37(14):4864-4872. ]

    [14] 米媛, 姜博, 陈颜, 等. 基于SLEUTH模型的鄂尔多斯城市扩张模拟分析[J]. 中国农业大学学报, 2019,24(2):183-190. [ MiY, JiangB, ChenY, et al. Simulation analysis of urban expansion in Ordos based on SLEUTH model[J]. Journal of China Agricultural University, 2019,24(2):183-190. ] [ Mi Y, Jiang B, Chen Y, et al. Simulation analysis of urban expansion in Ordos based on SLEUTH model[J]. Journal of China Agricultural University,2019,24(2):183-190. ]

    [15] 王丽妍, 李飞雪, 李满春, 等. 基本农田信息对SLEUTH模型模拟准确性的影响——以常州市中心城区为例[J]. 地理与地理信息科学, 2015,31(3):48-53,2. [ Wang LY, Li FX, Li MC, et al. Influences of basic farmland on SLEUTH model simulation accuracy:case study of Changzhou downtown[J]. Geography and Geo-Information Science, 2015,31(3):48-53. ] [ Wang L Y,Li F X, Li M C, et al.Influences of basic farmland on SLEUTH model simulation accuracy:case study of Changzhou downtown[J]. Geography and Geo-Information Science,2015,31(3):48-53. ]

    [16] et alLand-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, 3, 135-153(2008).

    [17] 刘小平, 黎夏, 艾彬, 等. 基于多智能体的土地利用模拟与规划模型[J]. 地理学报, 2006,61(10):1101-1112. [ Liu XP, LiX, AiB, et al. Multi- agent systems for simulating and planning land use development[J]. Acta Geographica Sinica, 2006,61(10):1101-1112. ] [ Liu X P, Li X, Ai B, et al. Multi- agent systems for simulating and planning land use development[J]. Acta Geographica Sinica, 2006,61(10):1101-1112. ]

    [18] et alAn equilibrium analysis of the land use structure in the Yunnan Province, China[J]. Frontiers of Earth Science, 8, 393-404(2014).

    [19] 田光进, 邬建国. 基于智能体模型的土地利用动态模拟研究进展[J]. 生态学报, 2008,28(9):4451-4459. [ Tian GJ, Wu JG. Simulating land use change with agent-based models: progress and prospects[J]. Acta EcologicaSinica, 2008,28(9):4451-4459. ] [ Tian G J, Wu J G. Simulating land use change with agent-based models: progress and prospects[J]. Acta EcologicaSinica, 2008,28(9):4451-4459. ]

    [20] Dynamic simulation of land-use change trajectories with the CLUE-S model[J]. Modelling Land-Use Change: Progress and applications, 90, 321-337(2007).

    [21] et alCombining 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, 7, 198-207(2010).

    [22] et alDelineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method[J]. Landscape and Urban Planning, 177, 47-63(2018).

    [23] et alA future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape and Urban Planning, 168, 94-116(2017).

    [24] 谢花林, 刘黎明, 李波, 等. 土地利用变化的多尺度空间自相关分析:以内蒙古翁牛特旗为例[J]. 地理学报, 2006,61(4):389-400. [ Xie HL, Liu LM, LiB, et al. Spatial autocorrelation analysis of multi-scale land-use changes: A case study in Ongniud Banner, Inner Mongolia[J]. Acta GeographicaSinica, 2006,61(4):389-400. ] [ Xie H L, Liu L M, Li B, et al. Spatial autocorrelation analysis of multi-scale land-use changes: A case study in Ongniud Banner, Inner Mongolia[J]. Acta GeographicaSinica, 2006,61(4):389-400. ]

    [25] et alUsing autologistic spatial models to simulate the distribution of land-use patterns in Zhangjiajie, Hunan Province[J]. Journal of Geographical Sciences, 20, 310-320(2010).

    [26] et alSimulating urban land use change by incorporating an autologistic regression model into a CLUE-S model[J]. Journal of Geographical Sciences, 25, 836-850(2015).

    [27] 广东省统计局, 国家统计局广东调查总队. 广东省统计年鉴[M]. 北京: 中国统计出版社, 2019. [ Statistics Bureau of Guangdong Province, Guangdong Survey Headquarters, National Bureau of Statistics. Guangdong Statistical Yearbook[M]. Beijing: China Statistics Press, 2019. ] [ Statistics Bureau of Guangdong Province, Guangdong Survey Headquarters, National Bureau of Statistics. Guangdong Statistical Yearbook[M]. Beijing: China Statistics Press, 2019. ]

    [28] 朱寿红, 舒帮荣, 马晓冬, 等. 基于“反规划”理念及FLUS模型的城镇用地增长边界划定研究:以徐州市贾汪区为例[J]. 地理与地理信息科学, 2017,33(5):80-86. [ Zhu SH, Shu BR, Ma XD, et al. The delimitation of urban growth boundary based on the idea of " anti-planning" and FLUS model: A case study of Jiawangdistrict, Xuzhou city[J]. Geography and Geo-information Science, 2017,33(5):80-86. ] [ Zhu S H, Shu B R, Ma X D, et al. The delimitation of urban growth boundary based on the idea of " anti-planning" and FLUS model: A case study of Jiawangdistrict, Xuzhou city[J]. Geography and Geo-information Science, 2017,33(5):80-86. ]

    [29] 吴欣昕, 刘小平, 梁迅, 等. FLUS-UGB多情景模拟的珠江三角洲城市增长边界划定[J]. 地球信息科学学报, 2018,20(4):532-542. [ Wu XX, Liu XP, LiangX, et al. multi-scenarios simulation of urban growth boundaries in Pearl River Delta based on FLUS-UGB[J]. Journal of Geo-information Science, 2018,20(4):532-542. ] [ Wu X X, Liu X P, Liang X, et al.multi-scenarios simulation of urban growth boundaries in Pearl River Delta based on FLUS-UGB[J]. Journal of Geo-information Science, 2018,20(4):532-542. ]

    [30] 田贺, 梁迅, 黎夏, 等. 基于SD模型的中国2010-2050年土地利用变化情景模拟[J]. 热带地理, 2017,37(3):547-561. [ TianH, LiangX, LiX, et al. Simulating multiple land use scenarios in China during 2010-2050 based on system dynamic model[J]. Tropical Geography, 2017,37(3):547-561. ] [ Tian H,Liang X,Li X,et al. Simulating multiple land use scenarios in China during 2010-2050 based on system dynamic model[J]. Tropical Geography, 2017,37(3):547-561. ]

    [31] et alComparing the input, output, and validation maps for several models of land change[J]. The Annals of Regional Science, 42, 11-37(2008).

    [32] 广东省国土资源厅. 广东省土地利用总体规划(2006-2020)[M]. 广州:广东省国土资源厅, 2009. [ Department of Land and Resources of Guangdong Province. General land use planning of Guangdong Province(2006-2020)[M]. Guangzhou: Department of Land and Resources of Guangdong Province, 2009. ] [ Department of Land and Resources of Guangdong Province. General land use planning of Guangdong Province(2006-2020)[M]. Guangzhou: Department of Land and Resources of Guangdong Province, 2009. ]

    [33] 广东省国土资源厅. 广东省国土规划(2016-2035)[M]. 广州:广东省国土资源厅, 2016. [ Department of land and resources of guangdong province. land use planning of Guangdong province(2016-2035)[M]. Guangzhou: Department of Land and Resources of Guangdong Province, 2016. ] [ Department of land and resources of guangdong province. land use planning of Guangdong province(2016-2035)[M]. Guangzhou: Department of Land and Resources of Guangdong Province, 2016. ]

    [34] 中华人民共和国国务院. 粤港澳大湾区发展规划纲要[M]. 北京:中华人民共和国国务院, 2019. [ The State Council of the People's Republic of China. Outline of Guangdong-Hong Kong-Macao Greater Bay Area Development Plan[M]. Beijing: State Council of the People's Republic of China, 2019. ] [ The State Council of the People's Republic of China. Outline of Guangdong-Hong Kong-Macao Greater Bay Area Development Plan[M]. Beijing: State Council of the People's Republic of China, 2019. ]

    [35] 吴康, 李耀川. 收缩情境下城市土地利用及其生态系统服务的研究进展[J]. 自然资源学报, 2019,34(5):1121-1134. [ WuK, Li YC. Research progress of urban land use and its ecosystemservices in the context of urban shrinkage[J]. Journal of Natural Resources, 2019,34(5):1121-1134. ] [ Wu K, Li Y C. Research progress of urban land use and its ecosystemservices in the context of urban shrinkage[J]. Journal of Natural Resources, 2019,34(5):1121-1134. ]

    Jingdu ZHANG, Zhixiong MEI, Jiahui LV, Jinzhao CHEN. Simulating Multiple Land Use Scenarios based on the FLUS Model Considering Spatial Autocorrelation[J]. Journal of Geo-information Science, 2020, 22(3): 531
    Download Citation