Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
作者： Linda See , Peter Mooney , Giles Foody , Lucy Bastin , Alexis Comber
DOI: 10.3390/IJGI5050055
关键词:
摘要: Big data has now become a strong focus of global interest that is increasingly attracting the attention academia, industry, government and other organizations. can be situated in disciplinary area traditional geospatial handling theory methods. The increasing volume varying format collected big presents challenges storing, managing, processing, analyzing, visualizing verifying quality data. This implications for decisions made with Consequently, this position paper International Society Photogrammetry Remote Sensing (ISPRS) Technical Commission II (TC II) revisits existing methods theories to determine if they are still capable emerging Further, synthesises problems, major issues current developments as well recommending what needs developed further near future. Keywords: data, Geospatial, Data handling, Analytics, Spatial Modeling, Review
arxiv.org
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