Jenks Optimization

Jenks Optimization is a data classification method that partitions a univariate dataset into distinct groups by minimizing within-group variance and maximizing between-group variance, thereby optimizing the visual differentiation of spatial patterns in choropleth maps.

4

Publications

603

Citations

14

Authors

5

Institutions

Publications per year

2017–2026

0

Variants

Jenks Natural BreaksJenks Natural Breaks ClassificationNatural Breaks Optimization

Authors

14

  1. AE
    Ahmed El‐Rabbany

    Toronto Metropolitan University, Canada

    2 publications · 85 citations

    2

    h-index

  2. AS
    Ahmed Shaker

    Toronto Metropolitan University, Canada

    2 publications · 85 citations

    2

    h-index

  3. SM
    Salem Morsy

    Cairo University, Egypt

    2 publications · 85 citations

    2

    h-index

  4. JL
    Jinxia Lv

    Beijing Normal University, China

    1 publications · 459 citations

    1

    h-index

  5. YH
    Yousef Hassanzadeh

    University of Tabriz, Iran

    1 publications · 59 citations

    1

    h-index

1–5 of 14