Spatial-temporal Trend Analysis
Spatial-Temporal Trend Analysis is a computational method that identifies and characterizes patterns of change over geographic space and chronological time within social media surveillance by integrating spatial and temporal dimensions to detect emergent behaviors or anomalies.
206
Publications
10.1K
Citations
927
Authors
426
Institutions
Publications per year
2017–2026
117
Parents
206
TEDAS: A Twitter-based Event Detection and Analysis System
Rui Li, Kin Hou Lei, Ravi Khadiwala et al. · 2012 · 451 citations
"OMG, from here, I can see the flames!"
Bertrand De Longueville, Robin S. Smith, Gianluca Luraschi · 2009 · 306 citations
Kai‐Lan Chang, Irina Petropavlovskikh, Owen R. Cooper et al. · Elementa Science of the Anthropocene · 2017 · 280 citations · Full text
Natural Sciences, Earth Sciences, Environmental Sciences +17
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426

San Diego State University
San Diego, United States
7 h-index
33 publications
2.4K citations
University College London
London, United Kingdom
5 h-index
10 publications
255 citations
Wuhan University
Wuhan, China
5 h-index
16 publications
973 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
807 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
1.6K citations
Harvard University
Cambridge, United States
4 h-index
5 publications
427 citations

Pennsylvania State University
State College, United States
3 h-index
6 publications
109 citations

Peking University
Beijing, China
3 h-index
7 publications
414 citations
1–8 of 426
10 publications · 363 citations
10
h-index
7 publications · 856 citations
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6 publications · 485 citations
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IJGI · 5 publications · 162 citations
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5 publications · 480 citations
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