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

Authors

927

  1. MT
    Ming‐Hsiang Tsou

    San Diego State University, United States

    7 publications · 686 citations

    7

    h-index

  2. BH
    Brian H. Spitzberg

    San Diego State University, United States

    4 publications · 194 citations

    4

    h-index

  3. MN
    Mor Naaman

    Cornell University, United States

    3 publications · 444 citations

    3

    h-index

  4. JY
    Jiue‐An Yang

    San Diego State University, United States

    3 publications · 171 citations

    3

    h-index

  5. XY
    Xinyue Ye

    Kent State University, United States

    3 publications · 440 citations

    3

    h-index

1–5 of 927

Venues

  1. Sustainability

    10 publications · 363 citations

    10

    h-index

  2. Environmental Science & Technology

    7 publications · 856 citations

    7

    h-index

  3. International Journal of Climatology

    6 publications · 485 citations

    6

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 5 publications · 162 citations

    5

    h-index

  5. PLoS ONE

    5 publications · 480 citations

    5

    h-index

1–5