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Volume 39 Issue 6
Jun.  2014
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Article Contents

LI Qingquan, LI Deren. Big Data GIS[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 641-644. doi: 10.13203/j.whugis20140150
Citation: LI Qingquan, LI Deren. Big Data GIS[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 641-644. doi: 10.13203/j.whugis20140150

Big Data GIS

doi: 10.13203/j.whugis20140150
Funds:  The National Natural Science Foundation of China,No.41371377;Shenzhen Scientific Research and DevelopmentFunding Program,Nos.ZDSY20121019111146499,JSGG20121026111056204;Shenzhen Dedicated Funding of Strategic Emerging In-dustry Development Program,No.JCYJ20121019111128765.
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  • Author Bio:

    LI Qingquan,PhD,professor,specializes in spatial-temporal data mining,multi-sensor integration,and industry and engi-neering surveying.

  • Received Date: 2014-02-24
  • Rev Recd Date: 2014-06-05
  • Publish Date: 2014-06-05
  • Objective Big data is changing the world,and also posing challenges for GIS.The volume,velocity,and variety of these data challenge the data management ability of GIS,while the veracity and value is-sues of big data challenge spatial analysis theory and methods.Thus,as a tool focusing on spatial datamanagement,analysis and visualization,GIS has to make necessary adjustments and changes to meetthe big data requirements.This paper discusses the challenges based on the 5Vproperties of big data,and then,analyzes three characteristics of future GIS in the big data era,which are:①scalable data management,②data-driven modeling and data mining,and③ geo-computational visual analytic.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Big Data GIS

doi: 10.13203/j.whugis20140150
Funds:  The National Natural Science Foundation of China,No.41371377;Shenzhen Scientific Research and DevelopmentFunding Program,Nos.ZDSY20121019111146499,JSGG20121026111056204;Shenzhen Dedicated Funding of Strategic Emerging In-dustry Development Program,No.JCYJ20121019111128765.
  • Author Bio:

Abstract: Objective Big data is changing the world,and also posing challenges for GIS.The volume,velocity,and variety of these data challenge the data management ability of GIS,while the veracity and value is-sues of big data challenge spatial analysis theory and methods.Thus,as a tool focusing on spatial datamanagement,analysis and visualization,GIS has to make necessary adjustments and changes to meetthe big data requirements.This paper discusses the challenges based on the 5Vproperties of big data,and then,analyzes three characteristics of future GIS in the big data era,which are:①scalable data management,②data-driven modeling and data mining,and③ geo-computational visual analytic.

LI Qingquan, LI Deren. Big Data GIS[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 641-644. doi: 10.13203/j.whugis20140150
Citation: LI Qingquan, LI Deren. Big Data GIS[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 641-644. doi: 10.13203/j.whugis20140150

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