1Shenzhen Key Laboratory of Spatial Smart Sensing and Services,Shenzhen University,Shenzhen 518060,China;2State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China
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.
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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