Spatial Trend Estimation

Spatial Trend Estimation is a spatial smoothing technique that models large-scale, systematic variation across a geographic domain by distinguishing underlying gradual patterns from local fluctuations or noise in spatially referenced data.

168

Publications

9K

Citations

619

Authors

308

Institutions

Publications per year

2017–2026

46

Authors

619

  1. NC
    Noel Cressie

    Iowa State University, United States

    3 publications · 152 citations

    3

    h-index

  2. JZ
    Jun Zhu

    University of Wisconsin–Madison, United States

    2 publications · 83 citations

    2

    h-index

  3. RJ
    Raymond J.G.M. Florax

    Purdue University West Lafayette, United States

    2 publications · 213 citations

    2

    h-index

  4. MS
    Michael S. Delgado

    Tinbergen Institute, Netherlands

    2 publications · 213 citations

    2

    h-index

  5. HP
    Hans‐Peter Piepho

    University of Hohenheim, Germany

    2 publications · 57 citations

    2

    h-index

1–5 of 619

Venues

  1. Environmetrics

    6 publications · 168 citations

    6

    h-index

  2. Remote Sensing

    6 publications · 765 citations

    6

    h-index

  3. 6

    h-index

  4. Sustainability

    4 publications · 91 citations

    4

    h-index

  5. Journal of Climate

    4 publications · 409 citations

    4

    h-index

1–5