Geospatial big data handling theory and methods: A review and research challenges

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• 作者：Songnian Li^a ; ^{snli@ryerson.ca" class="auth_mail" title="E-mail the corresponding author} ; Suzana Dragicevic^b ; ^{suzanad@sfu.ca" class="auth_mail" title="E-mail the corresponding author} ; Francesc Antó ; n Castro^c ; ^{fa@space.dtu.dk" class="auth_mail" title="E-mail the corresponding author} ; Monika Sester^d ; ^{monika.sester@ikg.uni-hannover.de" class="auth_mail" title="E-mail the corresponding author} ; Stephan Winter^e ; ^{winter@unimelb.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Arzu Coltekin^f ; ^{arzu@geo.uzh.ch" class="auth_mail" title="E-mail the corresponding author} ; Christopher Pettit^g ; ^{c.pettit@unsw.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Bin Jiang^h ; ^{bin.jiang@hig.se" class="auth_mail" title="E-mail the corresponding author} ; James Haworthⁱ ; ^{j.haworth@ucl.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Alfred Stein^j ; ^{a.stein@utwente.nl" class="auth_mail" title="E-mail the corresponding author} ; Tao Chengⁱ ; ^{tao.cheng@ucl.ac.uk" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Big data ; Geospatial ; Data handling ; Analytics ; Spatial modeling ; Review
• 刊名：ISPRS Journal of Photogrammetry and Remote Sensing
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：115
• 期：Complete
• 页码：119-133
• 全文大小：1839 K

文摘

Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processing, analyzing, visualizing and verifying the quality of data. This has implications for the quality of decisions made with big data. Consequently, this position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geospatial big data. Further, the paper synthesises problems, major issues and challenges with current developments as well as recommending what needs to be developed further in the near future.