• Journal of Geo-information Science
  • Vol. 22, Issue 3, 517 (2020)
Linfeng ZHAO1、1、2、2, Xiaoping LIU1、1、2、2、*, Penghua LIU1、1、2、2, Guangzhao CHEN1、1、2、2, and Jialv HE1、1、2、2
Author Affiliations
  • 1School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
  • 1中山大学地理科学与规划学院,广州 510275
  • 2Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Guangzhou 510275, China
  • 2广东省城市化与地理环境空间模拟重点实验室,广州510275
  • show less
    DOI: 10.12082/dqxxkx.2020.190477 Cite this Article
    Linfeng ZHAO, Xiaoping LIU, Penghua LIU, Guangzhao CHEN, Jialv HE. Urban Expansion Simulation and Early Warning based on Geospatial Partition and FLUS Model[J]. Journal of Geo-information Science, 2020, 22(3): 517 Copy Citation Text show less
    References

    [1] Urbanization, urban land expansion and environmental change in China[J]. Stochastic Environmental Research & Risk Assessment, 28, 757-765(2014).

    [2] 7 Billion and counting[J]. Science, 333, 562-569(2011).

    [3] et alApplication of an integrated system dynamics and cellular automata model for urban growth assessment: A case study of Shanghai, China[J]. Landscape and Urban Planning, 91, 133-141(2009).

    [4] et alModeling the spatial dynamics of regional land use: The CLUE-S model[J]. Environmental Management, 30, 391-405(2002).

    [5] 段增强, P.H.Verburg, 张凤荣, 等. 土地利用动态模拟模型的构建及其应用——以北京市海淀区为例[J]. 地理学报, 2004,59(6):1037-1047.

    [6] et alIntegration of logistic regression, Markov chain and cellular automata models to simulate urban expansion[J]. International Journal of Applied Earth Observation and Geoinformation, 21, 265-275(2013).

    [7] 陈逸敏, 李少英, 黎夏, 等. 基于MCE-CA的东莞市紧凑城市形态模拟[J]. 中山大学学报(自然科学版), 2010,49(6):110-114.

    [8] et alMulti-agent systems for the simulation of land-use and land-cover change: A review[J]. Annals of the American Association of Geographers, 93, 314-337(2003).

    [9] 刘小平, 黎夏, 叶嘉安. 基于多智能体系统的空间决策行为及土地利用格局演变的模拟[J]. 中国科学(D辑:地球科学), 2006,36(11):1027-1036. [ Liu XP, LiX, Yeh AG. Simulation of spatial decision-making behavior and land use pattern evolution based on multi-agent system[J]. Science in China Series D: Earth Sciences, 2006,36(11):1027-1036. ] [ Liu X P, Li X, Yeh A G. Simulation of spatial decision-making behavior and land use pattern evolution based on multi-agent system[J]. Science in China Series D: Earth Sciences, 2006,36(11):1027-1036. ]

    [10] et alExperiences and issues of using cellular automata for assisting urban and regional planning in China[J]. International Journal of Geographical Information Science, 31, 1606-1629(2017).

    [11] Neural-network-based cellular automata for simulating multiple land use changes using GIS[J]. International Journal of Geographical Information Science, 16, 323-343(2002).

    [12] 裴凤松, 黎夏, 刘小平, 等. 城市扩张驱动下植被净第一性生产力动态模拟研究——以广东省为例[J]. 地球信息科学学报, 2015,17(4):469-477.

    [13] Knowledge discovery for geographical cellular automata[J]. Science in China Series D: Earth Sciences, 48, 1758-1767(2005).

    [14] Discovering and evaluating urban signatures for simulating compact development using cellular automata[J]. Landscape and Urban Planning, 86, 177-186(2008).

    [15] Data mining of cellular automata's transition rules[J]. International Journal of Geographical Information Science, 18, 723-744(2004).

    [16] A linguistic cellular automata simulation approach for sustainable land development in a fast growing region[J]. Computers Environment & Urban Systems, 20, 367-387(1996).

    [17] Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in core corridor of Pearl River Delta (China) by using TM and ETM+ images[J]. Environmental Monitoring and Assessment, 137, 127-147(2008).

    [18] 张大川, 刘小平, 姚尧, 等. 基于随机森林CA的东莞市多类土地利用变化模拟[J]. 地理与地理信息科学, 2016,32(5):29-36. [ Zhang DC, Liu XP, YaoY, et al. Simulating spatiotemporal chang of multiple land use types in Dongguan by using random forest based on cellular automata[J]. Geography and Geo-Information Science, 2016,32(5):29-36. ] [ Zhang D C, Liu X P, Yao Y, et al. Simulating spatiotemporal chang of multiple land use types in Dongguan by using random forest based on cellular automata[J]. Geography and Geo-Information Science, 2016,32(5):29-36. ]

    [19] 刘鹏华, 刘小平, 姚尧, 等. 耦合约束动态地块分裂和矢量元胞自动机的城市扩张模拟[J]. 地理与地理信息科学, 2018,34(4):74-82. [ Liu PH, Liu XP, YaoY, et al. Urban expansion simulation by integrating constrained dynamic land parcel subdivision and vector-based cellularautomata[J]. Geography and Geo-Information Science, 2018,34(4):74-82. ] [ Liu P H, Liu X P, Yao Y, et al. Urban expansion simulation by integrating constrained dynamic land parcel subdivision and vector-based cellularautomata[J]. Geography and Geo-Information Science, 2018,34(4):74-82. ]

    [20] 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).

    [21] A partitioned and asynchronous cellular automata model for urban growth simulation[J]. International Journal of Geographical Information Science, 30, 637-659(2016).

    [22] et alSimulation of landscape spatial layout evolution in rural-urban fringe areas: A case study of Ganjingzi District[J]. Giscience & Remote Sensing, 56, 388-405(2019).

    [23] Land suitability analysis for the upper Gila River watershed[J]. Landscape and Urban Planning, 50, 199-214(2000).

    [24] A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery[J]. Remote Sensing of Environment, 86, 353-369(2003).

    [25] Measurement and monitoring of urban sprawl in a rapidly growing region using entropy[J]. Photogrammetric Engineering and Remote Sensing, 67, 83-90(2001).

    [26] 曹雪. 基于CA的深圳市城市土地利用变化模拟及预警研究[D]. 南京:南京大学, 2010. [ CaoX. Study of simulation and early warning for urban land use change based on cellular automata in Shenzhen city[D]. Nanjing: Nanjing University, 2010. ] [ Cao X. Study of simulation and early warning for urban land use change based on cellular automata in Shenzhen city[D]. Nanjing: Nanjing University, 2010. ]

    [27] et alEarly warning of illegal development for protected areas by integrating cellular automata with neural networks[J]. Journal of Environmental Management, 130, 106-116(2013).

    [28] et alSensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model[J]. International Journal of Geographical Information Science, 31, 825-848(2017).

    [29] 中国科学院资源环境数据云平台. 广东省30 m土地利用数据[DB/OL]. http://www.resdc.cn, 2019-04-13. [ Resource and Environment Data Cloud Platform, Chinese Academy of Science. Land use data of Guangdong Province in 30m[DB/OL]. http://www.resdc.cn, 2019-04-13.] [ Resource and Environment Data Cloud Platform, Chinese Academy of Science. Land use data of Guangdong Province in 30m[DB/OL]. http://www.resdc.cn, 2019-04-13. ] http://www.resdc.cn

    [30] 中华人民共和国住房和城乡建设部. 城市用地分类与规划建设用地标准[S]. 2011. [ Ministry of Housing and Urban-Rural Development of the People's Republic of China. Code for classification of urban and rural land use and planning standards of development land[S]. 2011. ] [ Ministry of Housing and Urban-Rural Development of the People's Republic of China. Code for classification of urban and rural land use and planning standards of development land[S].2011. ]

    [31] 广东统计信息网. 广东省统计年鉴(2014,2015)[DB/OL]. http://stats.gd.gov.cn, 2019-04-13. [ Guangdong Statistical Information Network. Guangdong Statistical Yearbook(2014,2015)[DB/OL]. http://stats.gd.gov.cn, 2019-04-13.] [ Guangdong Statistical Information Network.Guangdong Statistical Yearbook(2014,2015)[DB/OL]. http://stats.gd.gov.cn,2019-04-13.] http://stats.gd.gov.cn

    [32] 黄金川, 林浩曦. 京津冀城市群多情景空间演化模拟[J]. 地理研究, 2017,36(3):506-517.

    [33] 杨帆, 米红. 一种基于网格的空间聚类方法在区域划分中的应用[J]. 测绘科学, 2007,32(z1):66-69. [ YangF, MiH. Application of a grid-based spatial clustering method on regional division[J]. Science of Surveying and Mapping, 2007,32(z1):66-69. ] [ Yang F,Mi H. Application of a grid-based spatial clustering method on regional division[J]. Science of Surveying and Mapping, 2007,32(z1):66-69. ]

    [34] 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.

    [35] et alUrban growth simulation by incorporating planning policies into a CA-based future land-use simulation model[J]. International Journal of Geographical Information Science, 32, 2294-2316(2018).

    [36] Large-scale ecological red line planning in urban agglomerations using a semi-automatic intelligent zoning method[J]. Sustainable Cities and Society, 46(2019).

    [37] et alA new global land-use and land-cover change product at a 1-km resolution for 2010 to 2100 based on human-environment interactions[J]. Annals of the American Association of Geographers, 107, 1040-1059(2017).

    [38] et alScenario analysis of ecosystem service changes and interactions in a mountain-oasis-desert system: a case study in Altay Prefecture, China[J]. Scientific Reports, 8(2018).

    [39] Simulation of land development through the integration of cellular automata and multicriteria evaluation[J]. Environment and Planning B: Planning and design, 25, 103-126(1998).

    [40] 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.

    [41] et alAccuracy assessment for a simulation model of Amazonian deforestation[J]. Annals of the American Association of Geographers, 97, 677-695(2007).

    [42] 王璇子. 武汉城市圈城市土地利用安全预警机制研究[D]. 武汉:华中科技大学, 2010. [ Wang XZ. Study on the early warning mechanism of urban land use security in wuhan urban agglomeration[D]. Wuhan: Huazhong University of Science and Technology, 2010. ] [ Wang X Z. Study on the early warning mechanism of urban land use security in wuhan urban agglomeration[D]. Wuhan: Huazhong University of Science and Technology, 2010. ]

    [43] 李灿, 张凤荣, 王枫, 等. 快速城镇化过程中建设用地空间安全预警分析[J]. 中国土地科学, 2015, (6):49-56,2,97. [ LiC, Zhang FR, WangF, et al. Early warning analysis on the spatial orderliness of construction land use in the rapid urbanization process[J]. China Land Sciences, 2015,( (6):49-56,2,97. ] [ Li C, Zhang F R, Wang F, et al. Early warning analysis on the spatial orderliness of construction land use in the rapid urbanization process[J]. China Land Sciences, 2015,(6):49-56,2,97. ]

    [44] 郑荣宝, 陈美招. 广州市建设用地集约利用评价与预警研究[J]. 土壤通报, 2012,43(1):107-113. [ Zheng RB, Chen MZ. Evaluation and precaution of urban land intensive use in guangzhou[J]. Chinese Journal of Soil Science, 2012,43(1):107-113. ] [ Zheng R B, Chen M Z. Evaluation and precaution of urban land intensive use in guangzhou[J]. Chinese Journal of Soil Science, 2012,43(1):107-113. ]

    [45] 张利, 陈影, 王树涛, 等. 滨海快速城市化地区土地生态安全评价与预警——以曹妃甸新区为例[J]. 应用生态学报, 2015,26(8):2445-2454.

    [46] 邓雪, 李家铭, 曾浩健, 等. 层次分析法权重计算方法分析及其应用研究[J]. 数学的实践与认识, 2012(7):93-100.

    Linfeng ZHAO, Xiaoping LIU, Penghua LIU, Guangzhao CHEN, Jialv HE. Urban Expansion Simulation and Early Warning based on Geospatial Partition and FLUS Model[J]. Journal of Geo-information Science, 2020, 22(3): 517
    Download Citation