地理大数据为地理复杂性研究提供新机遇

doi:10.11821/dlxb201808001

Abstract

Abstract:

Since 2010, big data has played a significant role in various fields of science, engineering and society. The paper introduces the concepts of geographic big-data, the fourth paradigm and nonlinear complex geographic system, and discusses interactive relationships of these concepts. It is proposed that geographic big-data and the fourth paradigm would become a new opportunity to research on geography complexity. Then the paper discusses how to use the methods of geographic big-data and complexity science to examine geography complexity. For example, based on big-data, a series of indicators of statistical physics fields could be constructed to describe the complex nonlinear characteristics of the real geographic world. Deep learning, complex network and multi-agent methods can be used to model and simulate the complex nonlinear geographic systems. These methods are important for a better understanding of the complexity of geographic phenomena and processes, as well as the analysis, simulation, inversion and prediction of complex geographic systems. Finally, the paper highlights that the combination of geographic big-data and complexity science would be the mainstream scientific method of geography in the 21st century.

Key words: geographic big-data, the fourth paradigm, nonlinearity, geography complexity

CHENG Changxiu,SHI Peijun,SONG Changqing,GAO Jianbo. Geographic big-data: A new opportunity for geography complexity study[J].Acta Geographica Sinica, 2018, 73(8): 1397-1406.

References

[1]	Wang J F, Stein A, Gao B B, et al.A review of spatial sampling. Spatial Statistics, 2012, 2(1): 1-14.http://linkinghub.elsevier.com/retrieve/pii/S2211675312000255
[2]	Wu Zhifeng, Chai Yanwei, Dang Anrong, et al.Geography interact with big data: Dialogue and reflection. Geographical Research, 2015, 34(12): 2207-2221.
[2]	[吴志峰, 柴彦威, 党安荣, 等. 地理学碰上“大数据”: 热反应与冷思考. 地理研究, 2015, 34(12): 2207-2221.]
[3]	Qian Xuesen, Yu Jingyuan, Dai Ruwei.A new discipline of science: The study of open complex giant system and its methodology. Nature Journal, 1990, 13(1): 3-10.
[3]	[钱学森, 于景元, 戴汝为. 一个科学新领域: 开放的复杂系统及其方法论. 自然杂志, 1990, 13(1): 3-10.]http://d.wanfangdata.com.cn/Periodical_csfzyj200505001.aspx
[4]	Yang Guo'an, Gan Guohui. Thoughts on complexity of human-earth system. Science and Technology Review, 2002(3): 58-60.
[4]	[杨国安, 甘国辉. 人地系统复杂性思考. 科技导报, 2002(3): 58-60.]
[5]	Li Shuangcheng, Wang Yang, Cai Yunlong.The paradigm transformation of geography from the perspective of complexity sciences. Acta Geographica Sinica, 2010, 65(11): 1315-1324.
[5]	[李双成, 王羊, 蔡运龙. 复杂性科学视角下的地理学研究范式转型. 地理学报, 2010, 65(11): 1315-1324.]http://d.wanfangdata.com.cn/Periodical/dlxb201011001
[6]	[Li Shuangcheng, Liu Jinlong, Zhang Caiyu, et al.The research trends of ecosystem services and the paradigm in geography. Acta Geographica Sinica, 2011, 65(11): 1618-1630.
[6]	[李双成, 刘金龙, 张才玉, 等. 生态系统服务研究动态及地理学研究范式. 地理学报, 2011, 65(11): 1619-1630.]http://d.wanfangdata.com.cn/Periodical/dlxb201112004
[7]	Gao Jiangbo, Cai Yunlong.Paradigm shift in the study of land use cover change. China Population, Resources and Environment, 2011, 21(10): 114-120.
[7]	[高江波, 蔡运龙. 土地利用/土地覆被变化研究范式的转变. 中国人口·资源与环境, 2011, 21(10): 114-120.]http://www.cqvip.com/QK/97796X/201110/39871719.html
[8]	Ma Zhengang, Li Lili, Xu Xuegong.Big data research of physical geography. Geography and Geo-Information Science, 2015, 31(3): 54-64.
[8]	[马振刚, 力黎黎, 许学工. 自然地理学的大数据研究. 地理与地理信息科学, 2015, 31(3): 54-64.]http://www.cqvip.com/QK/92655X/201503/665035476.html
[9]	Song Changqing.On paradigms of geographical research. Progress in Geography, 2016, 35(1): 1-3.
[9]	[宋长青. 地理学研究范式的思考. 地理科学进展, 2016, 35(1): 1-3.]http://d.wanfangdata.com.cn/Periodical/dlkxjz201601001
[10]	Zhen Feng, Qin Xiao, Wang Bo.Human geography research and practical application in big data era. Human Geography, 2014, 29(3): 1-6.
[10]	[甄峰, 秦萧, 王波. 大数据时代的人文地理研究与应用实践. 人文地理, 2014, 29(3): 1-6.]http://www.cqvip.com/QK/82608X/201403/50165717.html
[11]	Shen S, Cheng C X, Song C Q, et al.Spatial distribution patterns of global natural disasters based on biclustering. Natural Hazards. 2018, 92(3): 1809-1820.http://link.springer.com/10.1007/s11069-018-3279-y
[12]	Hey T.The fourth paradigm: Data-intensive scientific discovery. Microsoft Research, 2009: 8-10.
[13]	Sullivan D, George L W P. Spatial Simulation: Exploring Pattern and Process. John Wiley & Sons, 2013: 213.http://www.researchgate.net/publication/285391010_Spatial_Simulation_Exploring_Pattern_and_Process
[14]	Zimmermann R S, Parlitz U.Observing spatio-temporal dynamics of excitable media using reservoir computing. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2018, 28(4): 043118.http://aip.scitation.org/doi/10.1063/1.5022276
[15]	Shen S, Cheng C X, Yang J, et al.Visualized analysis of developing trends and hot topics in natural disaster research. PloS One, 2018, 13(1): e0191250.http://dx.plos.org/10.1371/journal.pone.0191250
[16]	Zhou Chenhu.Researches of Geographical Cellular Automata. Beijing: Science Press, 1999.
[16]
[16]	[周成虎. 地理元胞自动机研究. 北京: 科学出版社, 1999.]http://opac.its.csu.edu.cn/NTRdrBookRetrInfo.aspx?BookRecno=165083
[17]	Tang Luyi.Complexity. Changsha: Hunan Science and Technology Press, 2018: 1, 22-23.
[17]	[唐璐译. 复杂. 长沙:湖南科学技术出版社, 2018: 1, 22-23.]
[18]	Guo Huiquan, Zhang Guoyou, He Shujin.American geography research hot spots in recent years. Geographical Research, 2013, 32(7): 1375-1377.
[18]	[郭慧泉, 张国友, 何书金.近年来美国地理学研究热点问题. 地理研究. 2013, 32(7): 1375-1377.]
[19]	Fu Bojie.Thoughts on the recent development of physical geography. Progress in Geography, 2018, 37(1): 1-7.
[19]	[傅伯杰. 新时代自然地理学发展的思考. 地理科学进展, 2018, 37(1): 1-7.]
[20]	Song Changqing, Cheng Changxiu, Shi Peijun.Geography complexity: New connotations of geography in the new era. Acta Geographica Sinica, 2018, 73(7): 1189-1198.
[20]	[宋长青, 程昌秀, 史培军. 新时代地理复杂性的内涵. 地理学报, 2018, 73(7): 1189-1198.]http://www.geog.com.cn/cn/y2018/v73/i7/1204
[21]	Wei Yiming.Complexity theory of flood disaster. Nature Journal, 1999, 21(3): 139-142.
[21]	[魏一鸣. 洪水灾害研究的复杂性理论. 自然杂志, 1999, 21(3): 139-142.]http://d.wanfangdata.com.cn/Periodical_zrzz199903004.aspx
[22]	Jiang B.Head tail breaks for visualization of city structure and dynamics. Cities, 2015, 43(3): 69-77.http://linkinghub.elsevier.com/retrieve/pii/S026427511400198X
[23]	Chen Yanguang.Simplicity, complexity, and mathematical modeling of geographical distributions. Progress in Geography, 2015, 34(3): 321-329.
[23]	[陈彦光. 简单、复杂与地理分布模型的选择. 地理科学进展, 2015, 34(3): 321-329.]http://d.wanfangdata.com.cn/Periodical/dlkxjz201503007
[24]	Philo C, Mitchell R, More A.Reconsidering quantitative geography: Things that count. Environment and Planning A, 1998, 30(2): 191-201.http://journals.sagepub.com/doi/10.1068/a300191
[25]	Clauset A, Young M.Scale invariance in global terrorism. EPrint Arxiv physica, 2005: 0502014.http://www.oalib.com/paper/3756270
[26]	Clauset A, Shalizi C R, Newman M E.Power-law distributions in empirical data. SIAM Review, 2009, 51(4): 661-703.http://epubs.siam.org/doi/10.1137/070710111
[27]	Clauset A, Wiegel F W.A generalized aggregation-disintegration model for the frequency of severe terrorist attacks. Journal of Conflict Resolution, 2010, 54(1): 179-97.http://journals.sagepub.com/doi/10.1177/0022002709352452
[28]	Lu Song.Spatial, temporal distribution and influencing factors of high-casualty fire in China [D]. Hefei: University of Science and Technology of China, 2012.
[28]	[陆松. 中国群死群伤活在时空分布规律[D]. 合肥: 中国科技大学, 2012.]
[29]	Cioffi R C.Seeing it coming: A complexity approach to disasters and humanitarian crises. Complexity, 2014, 19(6): 95-108.http://doi.wiley.com/10.1002/cplx.21522
[30]	Parvez I A, Nekrasova A, Kossobokov V.Earthquake hazard and risk assessment based on unified scaling law for earthquakes: State of Gujarat, India. Pure and Applied Geophysics, 2017, 174(3): 1441-1452.http://link.springer.com/10.1007/s00024-017-1475-4
[31]	Tao K, Barros A P.Using fractal downscaling of satellite precipitation products for hydro meteorological applications. Journal of Atmospheric and Oceanic Technology, 2010, 27(3): 409-427.http://journals.ametsoc.org/doi/abs/10.1175/2009JTECHA1219.1
[32]	Gao J B, Cao Y H, Tung W W, et al.Multiscale Analysis of Complex Time Series: Integration of Chaos and Random Fractal Theory, and Beyond. John Wiley & Sons, 2007.
[33]	Bowers M C, Gao J B, Tung W W.Long range correlations in tree ring chronologies of the USA: Variation within and across species. Geophysical Research Letters, 2013, 40(3): 568-572.http://doi.wiley.com/10.1029/2012GL054011
[34]	Liu Zuhan.A study of the complex and nonlinear investigation of climatological-hydrological process in the Tarim River Basin [D]. Shanghai: East China Normal University, 2014.
[34]	[刘祖涵. 塔里木河流域气候—水文过程的复杂性与非线性[D]. 上海: 华东师范大学, 2014.]
[35]	Shi Kai, Liu Chunqiong, Wu Shenghu.Long range correlation of air pollution between Chengdu city and its surrounding towns. Resources and Environment in the Yangtze River, 2014, 23(11): 1633-1640.
[35]	[史凯, 刘春琼, 吴生虎. 基于DCCA方法的成都市市区与周边城镇大气污染长程相关性分析. 长江流域资源与环境, 2014, 23(11): 1633-1640.]http://www.cqvip.com/QK/97642X/201411/665265544.html
[36]	Wu Shenghu.Fractal feature and risk evaluation of PM2.5 evolution during typical haze periods [D]. Jishou: Jishou University, 2016.
[36]	[吴生虎. 重度灰霾期间高浓度PM2.5的时空分形演化及预测预警[D]. 吉首: 吉首大学, 2016.]
[37]	Wang Weiguo, Zhao Huazhu, Xie Yingqi, et al.A study on chaotic attractor character of zonal average ozonosphere in Northern Hemisphere. Acta Geophysica Sinica, 1997, 40(3): 317-324.
[37]	[王卫国, 赵华柱, 谢应齐, 等. 北半球不同纬度臭氧层系统混沌吸引子的特征研究. 地球物理学报, 1997, 40(3): 317-324.]http://www.cqvip.com/Main/Detail.aspx?id=2568527
[38]	Gao Zhiqiu, Wang Jiemin.A study on the chaotic characteristics of the atmospheric boundary layer turbulence over oasis and desert in HEIFE area. Plateau Meteorology, 1998, 17(4): 397-402.
[38]	[高志球, 王介民. HEIFE绿洲和沙漠地区大气边界层湍流混沌特性研究. 高原气象, 1998, 17(4): 397-402.]
[39]	Ding Rongjun.The complexity turn in international relations theory: "Complex systems" as a research program [D]. Beijing: China Foreign Affairs University, 2012.
[39]	[丁榕俊. 国际关系理论的复杂性转向: “复杂系统”研究[D]. 北京: 外交学院, 2012.]
[40]	He Daren, Liu Zonghua, Wang Binghong.Complex Systems and Complex Networks. Beijing: Higher Education Press, 2012: 198-207.
[40]	[何大韧, 刘宗华, 汪秉宏. 复杂系统与复杂网络. 北京: 高等教育出版社, 2012: 198-207.]
[41]	Wang J, Yang H.Complex network-based analysis of air temperature data in China. Modern Physics Letters B, 2009, 23(14): 1781-1789.http://www.worldscientific.com/doi/abs/10.1142/S0217984909019946
[42]	Hu Xiaobing, Shi Peijun, Wang Ming.Consilience degree: A new network property to evaluate system's performance against disturbances. Scientia Sinica(Informationis), 2014, 44(11): 1467-1481.
[42]	[胡小兵, 史培军, 汪明. 凝聚度:描述与测度社会生态系统抗干扰能力的一种新特性. 中国科学: 信息科学, 2014, 44(11): 1467-1481.]

Geographic big-data: A new opportunity for geography complexity study

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 2

Metrics

Comments

[1]	SONG Changqing,CHENG Changxiu,SHI Peijun. Geography complexity: New connotations of geography in the new era [J]. Acta Geographica Sinica, 2018, 73(7): 1204-1213.
[2]	Jun Li, Changming LIU, Zhonggen WANG, Kang LIANG. Two universal runoff yield models: SCS vs. LCM [J]. Acta Geographica Sinica, 2014, 69(7): 926-932.