THE RE-EXAMINATION OF HUMAN GEOGRAPHY RESEARCH AND THE RESEARCH METHODS IN THE CONTEXT OF BIG DATA

ZHANG Bo; DENG Hao-kun; AN Ning; ZHU Hong

doi:10.13959/j.issn.1003-2398.2019.03.003

PDF(1638 KB)

HUMAN GEOGRAPHY ›› 2019, Vol. 34 ›› Issue (3) : 14-21,90. DOI: 10.13959/j.issn.1003-2398.2019.03.003

THE RE-EXAMINATION OF HUMAN GEOGRAPHY RESEARCH AND THE RESEARCH METHODS IN THE CONTEXT OF BIG DATA

ZHANG Bo¹, DENG Hao-kun², AN Ning³, ZHU Hong³

Author information +

History +

Abstract

This paper investigates the relationship between human geography and the application of big data by discussing the articles on big data published in the mainstream human geography journals in recent years in China. The article emphasizes that the applications of big data brings both opportunities and challenges to the field of human geography. However, how to identify the correlations between different variables becomes the biggest challenge for the human geographers to deal with. In this sense, the research on big data does not break through the current disciplinary paradigm, but attempt reflects the relations in the real world. The major findings are summarized as followed:First, the big data, as a kind of new research method, cannot replace the traditional research paradigm in the human geography field, but it can only be the complement to the existing research methods. Second, the big data itself represents a type of discourse system, which is embedded in the entire human geography research system. It therefore requires us to examine the method of big data from a more critical perspective in order to ensure the diversity within human geography and avoid being overly dependent on big data. Third, in the context of big data, we need pay more attention to the impact of big data on the methods and ideas of human geography research. Last but not least, when human geographers use big data to interpret the complexity of geographical and spatial processes, it is important that they should see how the big data can be potentially applied to the public service, at the same time, they need to understand how the results of big data can make contributions to the larger society.

Key words

big data / human geography / research content / research method

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

ZHANG Bo, DENG Hao-kun, AN Ning, ZHU Hong. THE RE-EXAMINATION OF HUMAN GEOGRAPHY RESEARCH AND THE RESEARCH METHODS IN THE CONTEXT OF BIG DATA[J]. HUMAN GEOGRAPHY. 2019, 34(3): 14-21,90 https://doi.org/10.13959/j.issn.1003-2398.2019.03.003

References

[1] 维克托·迈尔·舍恩伯格,肯尼思·库克耶.大数据时代:生活、工作与思维方式的大变革[M].盛杨燕,周涛,译.杭州:浙江人民出版社, 2013:2-23.[Viktor Mayer-Schönberger, Kenneth Cukier. Big Data:A Revolution that will Transform How We Live, Work, and Think[M]. Sheng Yangyan, Zhou Tao, trans. Hangzhou:Zhejiang People Press, 2013:2-23.]
[2] Thatcher J. Living on fumes:Digital footprints, data fumes, and the limitations of spatial big data[J]. International Journal of Communication, 2014,8(1):1765-1783.
[3] Ash J, Kitchin R, Leszczynski A. Digital turn, digital geographies?[J]. Progress in Human Geography, 2016,42(1):25-43.
[4] Leszczynski A, Crampton J. Introduction:Spatial big data and everyday life[J]. Big Data & Society, 2016,3(2):1-6.
[5] Amoore L. Cloud geographies:Computing, data, sovereignty[J]. Progress in Human Geography, 2016,42(1):4-24.
[6] Meehan K, Shaw I G R, Marston S A. Political geographies of the object[J]. Political Geography, 2013,33(1):1-10.
[7] Batty M. Big data, smart cities and city planning[J]. Dialogues in Human Geography, 2013,3(3):274-279.
[8] 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[J].地理研究,2015,34(12):2207-2221.[Wu Zhifeng, Chai Yanwei, Dang Anrong, et al. Geography interact with big data:Dialogue and reflection[J]. Geographical Research, 2015,34(12):2207-2221.]
[9] 甄峰,秦萧,王波.大数据时代的人文地理研究与应用实践[J].人文地理,2014,29(3):1-6.[Zhen Feng, Qin Xiao, Wang Bo. Human geography research and practical application in big data era[J]. Human Geography, 2014,29(3):1-6.]
[10] 甄峰,王波. "大数据"热潮下人文地理学研究的再思考[J].地理研究,2015,34(5):803-811.[Zhen Feng, Wang Bo. Rethinking human geography in the age of big data[J]. Geographical Research, 2015, 34(5):803-811.]
[11] 甄峰,秦萧,席广亮.信息时代的地理学与人文地理学创新[J].地理科学,2015,35(1):11-18.[Zhen Feng, Qin Xiao, Xi Guangliang. The innovation of geography and human geography in the information era[J]. Scientia Geographica Sinica, 2015,35(1):11-18.]
[12] Hey T, Tansley S, Tolle K. The Fourth Pparadigm:Data-intensive Scientific Discovery[M]. Redmond and Washington:Microsoft Research, 2009:165-172.
[13] 谢永俊,彭霞,黄舟,等.基于微博数据的北京市热点区域意象感知[J].地理科学进展,2017,36(9):1099-1110.[Xie Yongjun, Peng Xia, Huang Zhou, et al. Image perception of Beijing's regional hotspots based on microblog data[J]. Progress in Geography, 2017,36(9):1099-1110.]
[14] 黎智枫,赵渺希.赛博空间视角下中国三大城市群网络特征——基于豆瓣跨城活动数据[J].人文地理,2016,31(6):102-108.[Li Zhifeng, Zhao Miaoxi. City networks in cyberspace:Using doubanevent to measure the cross-city activities in urban agglomeration of China[J]. Human Geography, 2016,31(6):102-108.]
[15] 丁亮,钮心毅,宋小冬.上海中心城就业中心体系测度——基于手机信令数据的研究[J].地理学报,2016,71(3):484-499.[Ding Liang, Niu Xinyi, Song Xiaodong. Measuring the employment center system in Shanghai central city:A study using mobile phone signaling data[J]. Acta Geographica Sinica, 2016,71(3):484-499.]
[16] 许泽宁,高晓路.基于电子地图兴趣点的城市建成区边界识别方法[J].地理学报,2016,71(6):928-939.[Xu Zening, Gao Xiaolu. A novel method for identifying the boundary of urban built-up areas with POI data[J]. Acta Geographica Sinica, 2016,71(6):928-939.]
[17] 陈世莉,陶海燕,李旭亮,等.基于潜在语义信息的城市功能区识别——广州市浮动车GPS时空数据挖掘[J].地理学报,2016,71(3):471-483.[Chen Shili, Tao Haiyan, Li Xuliang, et al. Discovering urban functional regions using latent semantic information:Spatiotemporal data mining of floating cars GPS data of Guangzhou[J]. Acta Geographica Sinica, 2016,71(3):471-483.]
[18] 张妍妍,李君轶,杨敏.基于旅游数字足迹的西安旅游流网络结构研究[J].人文地理,2014,29(4):111-118.[Zhang Yanyan, Li Junyi, Yang Min. The tourism flow network structure of Xi'an based on tourism digital footprint[J]. Human Geography, 2014,29(4):111-118.]
[19] 李君轶,唐佳,冯娜.基于社会感知计算的游客时空行为研究[J].地理科学,2015,35(7):814-821.[Li Junyi, Tang Jia, Feng Na. Tourists' spatio-temporal behavior based on socially aware computing[J]. Scientia Geographica Sinica, 2015,35(7):814-821.]
[20] 李娟,褚玉杰,赵振斌,等.基于共现聚类分析的西藏入境旅游热点研究[J].旅游学刊,2015,30(3):35-43.[Li Juan, Chu Yujie, Zhao Zhenbin, et al. Tibetan tourism hotspots:Co-word cluster analysis of English blogs[J]. Tourism Tribune, 2015,30(3):35-43.]
[21] 刘逸,保继刚,朱毅玲.基于大数据的旅游目的地情感评价方法探究[J].地理研究,2017,36(6):1091-1105.[Liu Yi, Bao Jigang, Zhu Yiling. Exploring emotion methods of tourism destination evaluation:A big-data approach[J]. Geographical Research, 2017,36(6):1091-1105.]
[22] 保继刚,张捷,徐红罡,等.中国旅游地理研究:在他乡与故乡之间[J].地理研究,2017,36(5):803-823.[Bao Jigang, Zhang Jie, Xu Honggang, et al. Tourism geography in China:Between hometown and alien land[J]. Geographical Research, 2017,36(5):803-823.]
[23] 叶磊,段学军,欧向军.基于交通信息流的江苏省流空间网络结构研究[J].地理科学,2015,35(10):1230-1237.[Ye Lei, Duan Xuejun, Ou Xiangjun. The urban network structure of Jiangsu province based on the traffic and information flow[J]. Scientia Geographica Sinica, 2015,35(10):1230-1237.]
[24] 王宁宁,陈锐,赵宇.基于信息流的互联网信息空间网络分析[J].地理研究,2016,35(1):137-147.[Wang Ningning, Chen Rui, Zhao Yu. Analysis of the provincial information space network basted on the internet information flow[J]. Geographical Research, 2016,35(1):137-147.]
[25] 秦萧,甄峰,朱寿佳,等.基于网络口碑度的南京城区餐饮业空间分布格局研究——以大众点评网为例[J].地理科学,2014,34(7):810-817.[Qin Xiao, Zhen Feng, Zhu Shoujia, et al. Spatial pattern of catering industry in Nanjing urban area based on the degree of public praise from internet:A case study of Dianping.com[J]. Scientia Geographica Sinica, 2014,34(7):810-817.]
[26] 廖伟华,聂鑫.基于大数据的城市服务业空间关联分析[J].地理科学,2017,37(9):1310-1317.[Liao Weihua, Nie Xin. Spatial association analysis for urban service based on big data[J]. Scientia Geographica Sinica, 2017,37(9):1310-1317.]
[27] 史坤博,杨永春,白硕,等.成都市体验性网络团购市场发展的空间特征[J].地理研究,2016,35(1):108-122.[Shi Kunbo, Yang Yongchun, Bai Shuo, et al. Spatial characteristics of the experiential online group-buying market in Chengdu[J]. Geographical Research, 2016,35(1):108-122.]
[28] 刘炜,邓冬玮.城市消费行为对商业网点发展的影响研究[J].规划师,2017,33(1):73-79.[Liu Wei, Deng Dongwei. Influence of consumption behavior on commercial network development[J]. Planners, 2017,33(1):73-79.]
[29] 杨微石,郭旦怀,逯燕玲,等.基于大数据的文化遗产认知分析方法——以北京旧城中轴线为例[J].地理科学进展,2017,36(9):1111-1118.[Yang Weishi, Guo Danhuai, Lu Yanling, et al. Analyzing perception of cultural heritage sites based on big data:A case study of Beijing Central Axis[J]. Progress in Geography, 2017,36(9):1111-1118.]
[30] 李仁杰,傅学庆,张军海.网络店铺中地域文化商品价值取向的文本挖掘——蔚县剪纸的实证研究[J].地理研究,2013,32(8):1541-1554.[Li Renjie, Fu Xueqing, Zhang Junhai. Text mining of the value orientation of regional culture goods selling in online shops:A case study of Yuxian Paper-cuts[J]. Geographical Research, 2013, 32(8):1541-1554.]
[31] 余丽,陆锋,张恒才.网络文本蕴涵地理信息抽取:研究进展与展望[J].地球信息科学学报,2015,17(2):127-134.[Yu Li, Lu Feng, Zhang Hengcai. Extracting geographic information from web texts:Status and development[J]. Journal of Geo-information Science, 2015,17(2):127-134.]
[32] 王曙,吉雷静,张雪英,等.面向网页文本的地理要素变化检测[J].地球信息科学学报,2013,15(5):625-634.[Wang Shu, Ji Leijing, Zhang Xueying, et al. Change detection of geographic features based on web pages[J]. Journal of Geo-information Science, 2013, 15(5):625-634.]
[33] 张高军,李君轶,毕丽芳,等.旅游同步虚拟社区信息交互特征探析——以QQ群为例[J].旅游学刊,2013,28(2):119-126.[Zhang Gaojun, Li Junyi, Bi Lifang, et al. An analysis on information exchange characteristic about tourism synchronous virtual community:A case study of QQ group[J]. Tourism Tribune, 2013,28(2):119-126.]
[34] 苟思远,李钢,张可心,等.基于自媒体平台的"旅游者"时空行为研究——以W教授的微信"朋友圈"为例[J].旅游学刊,2016,31(8):71-80.[Gou Siyuan, Li Gang, Zhang Kexin, et al. Space-time behavior of "tourists" based on self-media platform:A case study of professor W's wechat moments[J]. Tourism Tribune, 2016,31(8):71-80.]
[35] 钟炜菁,王德,谢栋灿,等.上海市人口分布与空间活动的动态特征研究——基于手机信令数据的探索[J].地理研究,2017,36(5):972-984.[Zhong Weijing, Wang De, Xie Dongcan, et al. Dynamic characteristics of Shanghai's population distribution using cell phone signaling data[J]. Geographical Research, 2017,36(5):972-984.]
[36] Laney D. 3D data management:Controlling data volume, velocity and variety[EB/OL]. (2001-02-06)[2019-05-16]. https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-ManagementControlling-Data-Volume-Velocity-and-Variety.pdf.
[37] Rob K, Lauriault T P. Small data in the era of big data[J]. GeoJournal, 2015,80(4):463-475.
[38] 秦昆,周勍,徐源泉,等.城市交通热点区域的空间交互网络分析[J]. 地理科学进展,2017,36(9):1149-1157.[Qin Kun, Zhou Qing, Xu Yuanquan, et al. Spatial interaction network analysis of urban traffic hotspots[J]. Progress in Geography, 2017,36(9):1149-1157.]
[39] 吴丹贤,周素红.基于日常购物行为的广州社区居住-商业空间匹配关系[J].地理科学,2017,37(2):228-235.[Wu Danxian, Zhou Suhong. The matching pattern of housing-shopping space based on residents' daily shopping behaviors:A case study of communities in Guangzhou, China[J]. Scientia Geographica Sinica, 2017,37(2):228-235.]
[40] 吕兴洋,刘丽娟,林爽.在线信息搜索对旅游者感知形象及决策的影响研究[J].人文地理,2015,30(5):111-116.[Lv Xingyang, Liu Lijuan, Lin Shuang. The influence of online information search on tourists' perceived image and decision making[J]. Human Geography, 2015,30(5):111-116.]
[41] 李云,赵渺希,徐勇,等.基于互联网媒介图像信息的多尺度城市夜景意象研究[J].规划师,2017,33(9):105-112.[Li Yun, Zhao Miaoxi, Xu yong, et al. Space image of multi-scalar urban nightscape represented by photo landscape on the internet[J]. Planners, 2017,33(9):105-112.]
[42] Kelling S, Hochachka W, Fink D, et al. Data-intensive science:A new paradigm for biodiversity studies[J]. BioScience, 2009,59(7):613-620.
[43] Anderson C. The end of theory:The data deluge makes the scientific method obsolete[J/OL]. Wired, 2018-10-09. (2008-10-09)[2019-05-16]. http://www.uvm.edu/pdodds/files/papers/others/2008/anderson2008a.pdf.
[44] Graham M, Shelton T. Geography and the future of big data, big data and the future of geography[J]. Dialogues in Human Geography, 2013,3(3):255-261.
[45] 宋长青,冷疏影.国家自然科学基金资助下的中国人文地理学发展[J].地理学报,2004(S1):8-10.[Song Changqing, Leng Shuying. Features of recent human geography researches granted by national natural science foundation of china[J]. Acta Geographica Sinica, 2004(S1):8-10.]
[46] Sawyer S. Data wealth, data poverty, science and cyber-infrastructure[J]. Prometheus:Critical Studies in Innovation, 2008,26(4):355-371.
[47] Kitchin R. Big data and human geography:Opportunities, challenges and risks[J]. Dialogues in Human Geography, 2013,3(3):262.
[48] Delyser D, Sui D. Crossing the qualitative-quantitative divide Ⅱ:Inventive approaches to big data, mobile methods, and rhythmanalysis[J]. Progress in Human Geography, 2013,37(2):293-305.
[49] 吴丽云,陈方英.基于网络评论内容分析的餐饮消费者行为研究[J].人文地理,2015,30(5):147-152.[Wu Liyun, Chen Fangying. Research on catering consumer behavior based on the content analysis of network evaluation[J]. Human Geography, 2015,30(5):147-152.]
[50] 唐佳,李君轶.基于微博大数据的西安国内游客日内时间分布模式研究[J].人文地理,2016,31(3):151-160.[Tang Jia, Li Junyi. A study on the temporal distribution pattern of domestic tourists in Xi'an by hours based on the microblog big data[J]. Human Geography, 2016,31(3):151-160.]
[51] 冯娜,李君轶.外向在线旅游信息流与入境旅游流的耦合分析——以美加入境旅游流为例[J].旅游学刊,2014,29(4):79-86.[Feng Na, Li Junyi. A couple analysis of the extraversion online tourism information and inbound tourist flow:A case of the American and Canadian inbound tourist flow[J]. Tourism Tribune, 2014, 29(4):79-86.]