Actual and experiential shadow origin tagging: A 2.5D algorithm for efficient precinct-scale modelling
| Autor: | Geoff Kimm |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Scale (ratio)
Computer science Precinct 05 social sciences 0211 other engineering and technologies 0507 social and economic geography 021107 urban & regional planning 02 engineering and technology Building and Construction Computer Graphics and Computer-Aided Design Experiential learning Computer Science Applications Shadow Point (geometry) 050703 geography Algorithm Built environment |
| Zdroj: | International Journal of Architectural Computing. 18:41-52 |
| ISSN: | 2048-3988 1478-0771 |
| DOI: | 10.1177/1478077119895218 |
| Popis: | This article describes a novel algorithm for built environment 2.5D digital model shadow generation that allows identities of shadowing sources to be efficiently precalculated. For any point on the ground, all sources of shadowing can be identified and are classified as actual or experiential obstructions to sunlight. The article justifies a 2.5D raster approach in the context of modelling of architectural and urban environments that has in recent times shifted from 2D to 3D, and describes in detail the algorithm which builds on precedents for 2.5D raster calculation of shadows. The algorithm is efficient and is applicable at even precinct scale in low-end computing environments. The simplicity of this new technique, and its independence of GPU coding, facilitates its easy use in research, prototyping and civic engagement contexts. Two research software applications are presented with technical details to demonstrate the algorithm’s use for participatory built environment simulation and generative modelling applications. The algorithm and its shadow origin tagging can be applied to many digital workflows in architectural and urban design, including those using big data, artificial intelligence or community participative processes. |
| Databáze: | OpenAIRE |
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