Big Spatiotemporal Data Analytics: a research and innovation frontier

被引：63
作者：
Yang, Chaowei [1 ,2 ]
Clarke, Keith [3 ]
Shekhar, Shashi [4 ]
Tao, C. Vincent [5 ,6 ]
机构：
[1] George Mason Univ, NSF Spatiotemporal Innovat Ctr, Fairfax, VA 22030 USA
[2] George Mason Univ, Dept Geog & GeoInformat Sci, Fairfax, VA 22030 USA
[3] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
[4] Univ Minnesota, Dept Comp Sci, Minneapolis, MN 55455 USA
[5] Wuhan Univ, Shanghai, Peoples R China
[6] Z Ventures Grp, Shanghai, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE | 2020年 / 34卷 / 06期
基金：
美国国家科学基金会;
关键词：
AIR-QUALITY; FRAMEWORK; DYNAMICS; PATTERNS; PREDICTION; SCIENCE; NETWORK; ACCESS; IMAGES; MODEL;
D O I：
10.1080/13658816.2019.1698743
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：1075 / 1088
页数：14
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