Landscape Temporal Modelling

Landscape Temporal Modelling is a computational framework within Historic Landscape Characterization that systematically represents and analyzes the evolution of landscape features over time by integrating spatiotemporal data and historical records to reconstruct past landscape states and project future or hypothetical configurations.

15

Publications

1.2K

Citations

63

Authors

31

Institutions

Publications per year

2017–2026

4

Authors

63

  1. PV
    Paul V. Bolstad

    University of Minnesota, United States

    1 publications · 22 citations

    1

    h-index

  2. MB
    Mindi B. Sheer

    NOAA National Marine Fisheries Service Northwest Fisheries Science Center, United States

    1 publications · 49 citations

    1

    h-index

  3. DR
    Diego R. Pérez‐Salicrup

    Universidad Nacional Autónoma de México, Mexico

    1 publications · 42 citations

    1

    h-index

  4. KD
    Kor de Jong

    Utrecht University, Netherlands

    1 publications · 57 citations

    1

    h-index

  5. JC
    Jiquan Chen

    Michigan State University, United States

    1 publications · 80 citations

    1

    h-index

1–5 of 63