This repository contains the documentation and source of the coding challenge of the Summer School of Linked Data in Architecture and Construction held 17 - 18 June in Lisbon, Portugal. The summer school precedes the 7th Workshop on Linked Data in Architecture and Construction (LDAC).
Please move to Index to start working with the material of the 2019 edition of the Summer School of LDAC. You can also launch the content by opening it in Binder or Colab:
For the Java Notebooks in the multiKernel branch, you can use the following binder:
The content of this summer school are distributed using Jupyter notebooks. The notebooks can be statically examined in Github by simply clicking on it. To execute the scripts they can be either locally executed or the project can be opened using Binder [1]. For the local usage a iPyhton installation is required. We suggest using a python distribution such as Anaconda to work locally.
If you are not familiar to iPython/ Jupyter etc. please refer to the introductory content by Jake VanderPlas
A couple of persons contributed to the content of this repository (Sorted alphabetically):
- Jakob Beetz, RG
- Matthias Bonduel, RG
- Rui de Klerk, RG
- Kris McGlinn, RG
- Mads Holten Rasmussen, RG
- Pieter Pauwels, RG
- María Poveda-Villalón, RG
- Georg Ferdinand Schneider, RG
- Walter Terkaj, RG
- Anna Wagner, RG
The authors would like to thank Jake VanderPlas @jakvdp for providing his Python Data Science Handbook (Oreilly) open source as the structure of the content provided in this repository follows the approach chosen by him for his book.
We store some open data obtained from other sources in the data folder of this repository:
- 2012-03-23-Duplex-Handover.xlsx from Common Building Information Model Files and Tools by E. William East, PhD, PE - Engineer Research and Development Center, U.S Army, Corps of Engineers, https://www.nibs.org/page/bsa_commonbimfiles#project1, Last accessed 12 May 2019.
You may cite this code in your publications using the following DOI:
All source code provided in this repository is licensed under the MIT license.
The textual description in the notebooks and all other content which is not source code is licensed under the CC-BY-SA-4.0 license.
[1] Jupyter et al., "Binder 2.0 - Reproducible, Interactive, Sharable Environments for Science at Scale." Proceedings of the 17th Python in Science Conference. 2018. doi://10.25080/Majora-4af1f417-011