Spatio-temporal Autocorrelation

Spatio-Temporal Autocorrelation is a statistical phenomenon in which observations of a variable at nearby locations and times exhibit systematic dependencies, distinguished from purely spatial or temporal autocorrelation by its joint consideration of spatial proximity and temporal sequence in the structure of correlated errors.

607

Publications

36K

Citations

2.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

269

Variants

Spatiotemporal Autocorrelation

Authors

2.6K

  1. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    4 publications · 217 citations

    4

    h-index

  2. HL
    Hao Liu

    Baidu (China), China

    4 publications · 217 citations

    4

    h-index

  3. MD
    Mark D’Esposito

    University of California, Berkeley, United States

    4 publications · 1.5K citations

    4

    h-index

  4. YS
    Yorgos Stratoudakis

    Instituto de Investigacao das Pescas e do Mar, Portugal

    3 publications · 157 citations

    3

    h-index

  5. FA
    Fernando A. López Hernández

    Universidad Politécnica de Cartagena, Spain

    3 publications · 36 citations

    3

    h-index

1–5 of 2.6K

Venues

  1. Scientific Reports

    9 publications · 608 citations

    10

    h-index

  2. PLoS ONE

    9 publications · 358 citations

    9

    h-index

  3. Estuarine Coastal and Shelf Science

    9 publications · 277 citations

    9

    h-index

  4. The Science of The Total Environment

    8 publications · 296 citations

    8

    h-index

  5. Sustainability

    8 publications · 222 citations

    8

    h-index

1–5