https://github.com/pollination/imageless-annual-glare

Recipe for running imageless annual glare on Pollination
https://github.com/pollination/imageless-annual-glare

Last synced: 10 months ago
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Recipe for running imageless annual glare on Pollination

• Host: GitHub
• URL: https://github.com/pollination/imageless-annual-glare
• Owner: pollination
• License: other
• Created: 2022-03-09T16:59:34.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2025-01-17T14:53:20.000Z (over 1 year ago)
• Last Synced: 2025-07-30T06:29:01.132Z (11 months ago)
• Language: Python
• Size: 172 KB
• Stars: 0
• Watchers: 3
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# imageless-annual-glare

Run an annual glare study for a Honeybee model to compute hourly Daylight Glare

Probability (DGP) for each sensor in a model's sensor grids.

This recipe uses the image-less glare method developed by Nathaniel Jones to

estimate glare at each sensor. [More information on this method can be found here](https://github.com/nljones/Accelerad/wiki/The-Imageless-Method-for-Spatial-and-Annual-Glare-Analysis).

The resulting DGP is used to compute Glare Autonomy (GA), which is the percentage

of occupied time that a view is free of glare.