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`solshade` is a Python toolkit for simulating solar radiation across landscapes, accounting for terrain shadows, solar angles, and orbital geometry. It’s designed for interdisciplinary research at the intersection of astronomy, glaciology, botany, and geology.
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`solshade` is a Python toolkit for simulating solar radiation across
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landscapes, accounting for terrain shadows, solar angles, and orbital geometry.
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It’s designed for interdisciplinary research at the intersection of astronomy,
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glaciology, botany, and geology. Capturing the dance of *sol* (Sun) and *shade*
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(Shadow) over landscapes.
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`solshade` is designed to install cleanly with a single invocation of the standard Python package tool:
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```
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pip install solshade
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```
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Here are some essential project links:
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-[Home page and documentation](https://solshade.readthedocs.io/en/latest)
-[Getting started with solshade](https://solshade.readthedocs.io/en/latest/guides)
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-[solshade package](https://pypi.org/project/solshade) on the Python Package Index
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-[Issue tracker on github](https://github.com/amanchokshi/solshade/issues)
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## Example Applications
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- Modeling plant growing seasons across topography
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- Studying microhabitats in extreme environments
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- Predicting snowmelt timing in complex terrain
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- Understanding glacial melt and shadowed regions
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## Project Status
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This project is in early development.
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Expect breaking changes, experiments, and rapid iteration.
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- Modeling plant growing seasons across topography
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## Acknowledgments
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Inspired by many interesting conversations with Anna O'Flynn, Anthony Zerafa & Chris Omelon at the McGill Arctic Research Station (MARS) on Axel Heiberg Island, 2025.
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Inspired by many interesting conversations with Anna O'Flynn, Anthony Zerafa
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& Chris Omelon at the McGill Arctic Research Station (MARS) on Axel Heiberg
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