Map Smoothing

Map Smoothing is a spatial data processing technique used in precision agriculture that reduces noise and irregularities in yield maps by applying mathematical or statistical filters to enhance the visual interpretability and accuracy of spatial patterns.

21

Publications

718

Citations

49

Authors

22

Institutions

Publications per year

2017–2026

0

Authors

49

  1. TO
    Thomas O. Talbot

    New York State Department of Health, United States

    2 publications · 115 citations

    2

    h-index

  2. MO
    Manuel Ocaña

    Universidad de Alcalá, Spain

    2 publications · 36 citations

    2

    h-index

  3. SP
    Steven P. Forand

    New York State Department of Health, United States

    2 publications · 115 citations

    2

    h-index

  4. EM
    Eduardo Molinos

    Universidad de Alcalá, Spain

    2 publications · 36 citations

    2

    h-index

  5. FM
    Fernando Miguel Pérez Herranz

    Universidad de Alcalá, Spain

    2 publications · 36 citations

    2

    h-index

1–5 of 49

Venues

  1. Statistics in Medicine

    3 publications · 149 citations

    3

    h-index

  2. CERN Document Server (European Organization for Nuclear Research)

    Repository · 2 publications · 24 citations

    2

    h-index

  3. NeuroImage

    1 publications · 67 citations

    1

    h-index

  4. Computational Statistics

    1 publications · 24 citations

    1

    h-index

  5. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 20 citations

    1

    h-index

1–5