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.
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5
Institutions
Publications per year
2017–2026
0
Variants
Jenks Natural BreaksJenks Natural Breaks ClassificationNatural Breaks Optimization
Parents
4
Research on Geographical Environment Unit Division Based on the Method of Natural Breaks (Jenks)
Jian Chen, Saini Yang, H. W. Li et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2013 · 459 citations · Full text
Sina Sadeghfam, Yousef Hassanzadeh, Ata Allah Nadiri et al. · Environmental Earth Sciences · 2016 · 59 citations
Salem Morsy, Ahmed Shaker, Ahmed El‐Rabbany et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2016 · 48 citations · Full text
Salem Morsy, Ahmed Shaker, Ahmed El‐Rabbany et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2016 · 37 citations · Full text
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Toronto Metropolitan University
Toronto, Canada
2 h-index
6 publications
255 citations
Optech (Canada)
Vaughan, Canada
2 h-index
2 publications
85 citations

Beijing Normal University
Beijing, China
1 h-index
2 publications
918 citations
PLA Information Engineering University
Zhengzhou, China
1 h-index
3 publications
1.4K citations
University of Tabriz
Tabriz, Iran
1 h-index
3 publications
177 citations
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2 publications · 85 citations
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1 publications · 59 citations
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1 publications · 459 citations
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