Scale Sensitivity Analysis

Scale Sensitivity Analysis is a systematic methodological framework used in scientific and engineering research to assess how variations in spatial, temporal, or organizational scales influence the behavior, outcomes, or interpretations of a system, model, or measurement, thereby distinguishing it from general sensitivity analyses by its explicit focus on scale-induced changes in system dynamics or representational fidelity.

48

Publications

4.2K

Citations

169

Authors

125

Institutions

Publications per year

2017–2026

14

Authors

169

  1. DW
    David W. S. Wong

    George Mason University, United States

    2 publications · 261 citations

    2

    h-index

  2. FA
    Freerk A. Lootsma

    Delft University of Technology, Netherlands

    2 publications · 331 citations

    2

    h-index

  3. SS
    Shino Shiode

    Birkbeck, University of London, United Kingdom

    1 publications · 63 citations

    1

    h-index

  4. VH
    Victoria Hindmarsh

    Gartnavel General Hospital, United Kingdom

    1 publications · 34 citations

    1

    h-index

  5. CP
    Colin Pease

    University of Leeds, United Kingdom

    1 publications · 34 citations

    1

    h-index

1–5 of 169

Venues

  1. Urban Geography

    2 publications · 197 citations

    2

    h-index

  2. Environmental Modelling & Software

    2 publications · 106 citations

    2

    h-index

  3. Computers Environment and Urban Systems

    2 publications · 133 citations

    2

    h-index

  4. Global Environmental Change

    2 publications · 647 citations

    2

    h-index

  5. BMC Palliative Care

    1 publications · 10 citations

    1

    h-index

1–5