Big Spatiotemporal Data Analytics: a research and innovation frontier

被引：64

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

页码：1075 / 1088

页数：14

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