Scale Optimization

Scale Optimization is a methodological framework in spatial analysis that systematically identifies the most appropriate spatial scale(s) for detecting, representing, or modeling multi-scale patterns by balancing representational accuracy and computational efficiency.

43

Publications

1.7K

Citations

163

Authors

87

Institutions

Publications per year

2017–2026

24

Variants

Optimal Scale Selection

Authors

163

  1. LF
    Luc Florack

    Eindhoven University of Technology, Netherlands

    1 publications · 12 citations

    1

    h-index

  2. RH
    Renjie Huang

    Guilin University of Technology, China

    1 publications · 32 citations

    1

    h-index

  3. JY
    Jing Yuan

    Nankai University, China

    1 publications · 13 citations

    1

    h-index

  4. AT
    A. Tripathi

    Inter-University Accelerator Centre, India

    1 publications · 22 citations

    1

    h-index

  5. JS
    Julian Smit

    University of Cape Town, South Africa

    1 publications · 19 citations

    1

    h-index

1–5 of 163

Venues

  1. Remote Sensing

    3 publications · 128 citations

    3

    h-index

  2. International Journal of Remote Sensing

    2 publications · 44 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Spatial Science

    1 publications · 144 citations

    1

    h-index

  5. Information Sciences

    1 publications · 105 citations

    1

    h-index

1–5