This repository is to store our lab experiments for creating an open-source geospatial digital twinning workbench in Python.
Learn more about Augmented Spatial Planning: Utilization of Geospatial Digital Twins in Environmental Planning
Learn more about Open-Source Digital Twinning in Python.
Here are some lecture notes that you can read to get into procedural 3D Modelling and 3D Spatial Analysis:
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#NEW# Basics of Geospatial Programming in GH Python and in VSCode
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#NEW# Visibility Computing, Solar Envelopes, and Solar Energy Harvest Estimation
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#NEW# 3D Geospatial Twinning, the case of Sky View Factor computation, Part 1
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#NEW# 3D Geospatial Twinning, the case of Sky View Factor computation, Part 2
These code examples are written by Ivan Leon Cardenas and Pirouz Nourian from the University of Twente and shared under an MIT license. Stay tuned to our research and development updates on Genesis Lab
Please cite this repository as follows:
Ivan Cardenas, & Pirouz Nourian. (2023). Generative-Systems-Sciences/Enschede_3dWorkbench: Pre-release (Version 0). Zenodo. https://doi.org/10.5281/zenodo.10184210