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C38C / tree_database

Measured information on 12 Vancouver tree species, resulting 3D models, and the code to generate them.
MIT License
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tree_database

Measured information on 12 common tree species from Vancouver, 3D models thereof, and the code to generate them.

Terms of use

The data and code herein is licensed under the MIT license. For use of this repository in research, please cite our associated publication from eSim 2022: Simulating the Impact of Deciduous Trees on Energy, Daylight, and Visual Comfort: Impact Analysis and a Practical Framework for Implementation

Contents

The project root folder contains measured or estimated data for the twelve tree species, including canopy gap fraction, leaf clustering, and color-change/drop/regrowth schedules (Canopy and Schedules.xlsx), parameters used to generate branch systems based on a modified version of proctree.js (Branch Parameters.xlsx), and measured leaf color data (Colour Measurements.xlsx).

A subfolder, ./Tree Generator, contains a Rhino-Grasshopper script to generate branch and tree canopy mesh geometries based on user input parameters. This includes a modified port of proctree.js to Python and a call to an external custom version of gen_tree. To use this script, you must have Python (>=2.7) installed with the Numpy and Scipy modules.

Dependencies

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