pollination-imageless-annual-glare


Namepollination-imageless-annual-glare JSON
Version 0.1.7 PyPI version JSON
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home_pagehttps://github.com/pollination/imageless-annual-glare
SummaryImageless annual glare recipe for Pollination.
upload_time2023-11-29 20:45:01
maintainermostapha, ladybug-tools
docs_urlNone
authorladybug-tools
requires_python
licensePolyForm Shield License 1.0.0, https://polyformproject.org/wp-content/uploads/2020/06/PolyForm-Shield-1.0.0.txt
keywords honeybee radiance ladybug-tools daylight imageless-annual-glare
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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.

            

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