Spatiotemporal Analytics

Spatiotemporal Analytics is a computational methodology that integrates spatial and temporal dimensions to model, analyze, and interpret patterns, relationships, and dynamics in data generated by interconnected IoT devices across geographic locations and time intervals.

126

Publications

6.2K

Citations

508

Authors

238

Institutions

Publications per year

2017–2026

95

Authors

508

  1. RJ
    Ramesh Jain

    University of California, Irvine, United States

    3 publications · 60 citations

    3

    h-index

  2. MG
    Mingyan Gao

    Changchun University of Science and Technology, China

    3 publications · 60 citations

    3

    h-index

  3. CY
    Chaowei Yang

    George Mason University, United States

    3 publications · 124 citations

    3

    h-index

  4. VK
    Vivek K. Singh

    Rutgers, The State University of New Jersey, United States

    3 publications · 60 citations

    3

    h-index

  5. YL
    Yuebing Liang

    University of Hong Kong, Hong Kong SAR China

    2 publications · 51 citations

    2

    h-index

1–5 of 508

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 4 publications · 85 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 153 citations

    4

    h-index

  3. 4

    h-index

  4. Remote Sensing

    3 publications · 85 citations

    3

    h-index

  5. Computers Environment and Urban Systems

    3 publications · 210 citations

    3

    h-index

1–5