  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.
  Keywords: Big data, Geospatial, Data handling, Analytics, Spatial Modeling,
Review
