Spatial Resilience Modeling

Spatial Resilience Modeling is a computational framework that integrates geospatial data and resilience theory to quantify and simulate the capacity of landscapes to absorb, adapt to, and recover from disturbances while maintaining ecosystem functionality across heterogeneous environments.

73

Publications

5.1K

Citations

292

Authors

154

Institutions

Publications per year

2017–2026

56

Authors

292

  1. MS
    Melissa S. Lucash

    Portland State University, United States

    2 publications · 74 citations

    2

    h-index

  2. SL
    Shyue‐Cherng Liaw

    National Taiwan Normal University, Taiwan

    2 publications · 54 citations

    2

    h-index

  3. CM
    Courtney M. Thompson

    Texas A&M University, United States

    2 publications · 440 citations

    2

    h-index

  4. EA
    Erica A. H. Smithwick

    Pennsylvania State University, United States

    2 publications · 55 citations

    2

    h-index

  5. TF
    Tim Frazier

    Georgetown University, United States

    2 publications · 440 citations

    2

    h-index

1–5 of 292

Venues

  1. Sustainability

    6 publications · 221 citations

    6

    h-index

  2. 5

    h-index

  3. Journal of Cleaner Production

    4 publications · 289 citations

    4

    h-index

  4. Landscape Ecology

    3 publications · 386 citations

    3

    h-index

  5. The Science of The Total Environment

    3 publications · 74 citations

    3

    h-index

1–5