Data-driven Zone Delineation

Data-Driven Zone Delineation is a zone delineation methodology that belongs to the class of spatial partitioning techniques and is distinguished by its reliance on empirical data and computational analysis to define zones without depending on pre-existing administrative or subjective boundaries.

12

Publications

429

Citations

39

Authors

21

Institutions

Publications per year

2017–2026

4

Authors

39

  1. AC
    Annamaria Castrignanò

    Institute for Agricultural and Forest Systems in the Mediterranean

    2 publications · 126 citations

    2

    h-index

  2. LH
    Lantian Hong

    Sun Yat-sen University, China

    1 publications · 13 citations

    1

    h-index

  3. SR
    Sergio Ruggieri

    Cereal Research Centre, Italy

    1 publications · 68 citations

    1

    h-index

  4. MD
    Mariangela Diacono

    Cereal Research Centre, Italy

    1 publications · 68 citations

    1

    h-index

  5. DD
    Daniela De Benedetto

    University of Bari Aldo Moro, Italy

    1 publications · 68 citations

    1

    h-index

1–5 of 39

Venues

  1. Computers Environment and Urban Systems

    2 publications · 78 citations

    2

    h-index

  2. Fuzzy Sets and Systems

    1 publications · 22 citations

    1

    h-index

  3. Social Forces

    SF · 1 publications · 27 citations

    1

    h-index

  4. Computers and Electronics in Agriculture

    1 publications · 95 citations

    1

    h-index

  5. The Science of The Total Environment

    1 publications · 30 citations

    1

    h-index

1–5