Spatiotemporal Smoothing

Spatiotemporal Smoothing is a statistical method that belongs to the class of smoothing techniques used in spatial and temporal data analysis, distinguished by its simultaneous incorporation of spatial proximity and temporal continuity to reduce noise and improve inference in the distribution of epidemiological events over space and time.

32

Publications

1.2K

Citations

135

Authors

71

Institutions

Publications per year

2017–2026

7

Authors

135

  1. DS
    Dennis Säring

    University Medical Center Hamburg-Eppendorf, Germany

    2 publications · 29 citations

    2

    h-index

  2. AB
    Adrian Bowman

    University of Glasgow, United Kingdom

    2 publications · 40 citations

    2

    h-index

  3. HH
    Heinz Handels

    University of Lübeck, Germany

    2 publications · 29 citations

    2

    h-index

  4. JE
    Jan Ehrhardt

    University of Lübeck, Germany

    2 publications · 29 citations

    2

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  5. WL
    Weifeng Li

    The University of Tokyo, Japan

    1 publications · 78 citations

    1

    h-index

1–5 of 135

Venues

  1. Biometrics

    3 publications · 63 citations

    3

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  2. Environmetrics

    2 publications · 89 citations

    2

    h-index

  3. IEEE Transactions on Medical Imaging

    2 publications · 72 citations

    2

    h-index

  4. 2

    h-index

  5. Statistics in Medicine

    2 publications · 52 citations

    2

    h-index

1–5