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Geospatial big data handling theory and methods: a review and research challenges
Ryerson University, Toronto, Canada.
Simon Fraser University, Burnaby, Canada.
Technical University of Denmark, Lyngby, Denmark.
Leibniz University Hannover, Germany.
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2016 (English)In: ISPRS journal of photogrammetry and remote sensing (Print), ISSN 0924-2716, E-ISSN 1872-8235, Vol. 115, 119-133 p.Article, review/survey (Refereed) Published
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Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 115, 119-133 p.
Keyword [en]
Big data, Geospatial, Data handling, Analytics, Spatial modeling, Review
National Category
Human Geography
Identifiers
URN: urn:nbn:se:hig:diva-20811DOI: 10.1016/j.isprsjprs.2015.10.012ISI: 000374609600010Scopus ID: 2-s2.0-84949294051OAI: oai:DiVA.org:hig-20811DiVA: diva2:877990
Note

Theme issue 'State-of-the-art in photogrammetry, remote sensing and spatial information science'

Available from: 2015-12-08 Created: 2015-12-08 Last updated: 2017-01-12Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf