Procedural Landscape Generation

Procedural Landscape Generation is a computational method that algorithmically synthesizes terrain data through rule-based or stochastic processes, distinguishing itself from manual or image-based approaches by generating spatially coherent landscapes de novo according to predefined parameters or noise functions.

11

Publications

307

Citations

30

Authors

19

Institutions

Publications per year

2017–2026

5

Variants

Procedural Terrain Generation

Authors

30

  1. CM
    Cameron McGuinness

    University of Guelph, Canada

    2 publications · 129 citations

    2

    h-index

  2. DA
    Daniel Ashlock

    University of Guelph, Canada

    2 publications · 129 citations

    2

    h-index

  3. GZ
    Gabriel Zachmann

    University of Bonn, Germany

    1 publications · 15 citations

    1

    h-index

  4. PD
    Philipp Dittmann

    University of Bremen, Germany

    1 publications · 15 citations

    1

    h-index

  5. BG
    Björn Ganster

    University of Bonn, Germany

    1 publications · 18 citations

    1

    h-index

1–5 of 30

Venues

  1. Computer Graphics Forum

    2 publications · 58 citations

    2

    h-index

  2. 1

    h-index

  3. The Visual Computer

    1 publications · 15 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 15 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 21 citations

    1

    h-index

1–5