Class Interval Selection

Class Interval Selection is a methodological process in choropleth mapping that determines the optimal partitioning of a continuous variable into discrete ranges to effectively represent spatial patterns through visual classification.

25

Publications

3.2K

Citations

51

Authors

31

Institutions

Publications per year

2017–2026

2

Authors

51

  1. MC
    Mário César Ugulino de Araújo

    Universidade Federal da Paraíba, Brazil

    3 publications · 173 citations

    3

    h-index

  2. MM
    Mark Monmonier

    Syracuse University, United States

    2 publications · 36 citations

    2

    h-index

  3. AA
    A. A. Gomes

    Universidade Federal do Rio Grande do Sul, Brazil

    2 publications · 101 citations

    2

    h-index

  4. MP
    Marc P. Armstrong

    University of Iowa, United States

    2 publications · 117 citations

    2

    h-index

  5. NX
    Ningchuan Xiao

    The Ohio State University, United States

    2 publications · 117 citations

    2

    h-index

1–5 of 51

Venues

  1. 3

    h-index

  2. Geographical Analysis

    2 publications · 164 citations

    2

    h-index

  3. The American Cartographer

    2 publications · 44 citations

    2

    h-index

  4. Journal of the American Statistical Association

    1 publications · 1.7K citations

    1

    h-index

  5. 1

    h-index

1–5