Spatio-temporal Smoothing

Spatio-Temporal Smoothing is a statistical technique that belongs to the class of spatio-temporal modeling methods, distinguished by its purpose of reducing noise and enhancing pattern coherence in spatial time series data through simultaneous smoothing across both spatial and temporal dimensions.

87

Publications

5K

Citations

363

Authors

192

Institutions

Publications per year

2017–2026

24

Authors

363

  1. DL
    Dah-Jye Lee

    Brigham Young University, United States

    2 publications · 23 citations

    2

    h-index

  2. BN
    Brent Nelson

    Brigham Young University, United States

    2 publications · 23 citations

    2

    h-index

  3. NC
    Noel Cressie

    Iowa State University, United States

    2 publications · 250 citations

    2

    h-index

  4. CH
    C. H. Still

    Lawrence Livermore National Laboratory, United States

    2 publications · 92 citations

    2

    h-index

  5. ZW
    Zhaoyi Wei

    Brigham Young University, United States

    2 publications · 23 citations

    2

    h-index

1–5 of 363

Venues

  1. IEEE Transactions on Biomedical Engineering

    4 publications · 180 citations

    4

    h-index

  2. Physics of Plasmas

    4 publications · 165 citations

    4

    h-index

  3. Remote Sensing

    3 publications · 78 citations

    3

    h-index

  4. Environmetrics

    2 publications · 128 citations

    2

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 143 citations

    2

    h-index

1–5