This research tested a workflow for computationally generating 3D models and perspectival renderings of geographic scale landscapes. Four sites across the United States were selected as test cases: Mt. Hood National Forest, OR; Great Smoky Mountains National Park, TN and NC; Kauai, HI; and Zion National Park, UT. The proposed workflow uses free, publicly available GIS data and operates with software tools of the landscape architecture profession – ArcGIS Pro for geospatial data analysis and visualization; Rhino 3D as a modeling environment; Grasshopper to computationally model the terrain and apply landscape materials and assets; and Enscape for rendering.
Autor / Author: | Heller, Mark |
Institution / Institution: | Pratt Institute, New York/USA |
Seitenzahl / Pages: | 8 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 9-2024 |
Tagung / Conference: | Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology |
Veranstaltungsort, -datum / Venue, Date: | Vienna University of Technology, Austria 05-06-24 - 07-06-24 |
Schlüsselwörter (de): | |
Keywords (en): | Rendering, 3D modeling, GIS, visualization |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537752087 |
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