Cities for Citizens: Identification of Public Value Conflicts in Urban Spaces - Accompanying Code
DOI:10.4121/15142287.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/15142287
DOI: 10.4121/15142287
Datacite citation style:
Rico Herzog (2021): Cities for Citizens: Identification of Public Value Conflicts in Urban Spaces - Accompanying Code. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/15142287.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
This is the accompanying code to the Master Thesis research project "Cities for Citizens: Identification of Public Values and their Conflicts in Urban Spaces" conducted in cooperation with the CUSP Lab @ TPM TU Delft and the City Science Lab Hamburg. Aiming to identify public values and their spatial conflicts, a total of nine Jupyter notebooks and one R script follow the research flow as outlined in the Master thesis document.
History
- 2021-09-21 first online, published, posted
Publisher
4TU.ResearchDataFormat
.ipynb;,md; R fileReferences
Organizations
TU Delft, Faculty of Technology, Policy and Management, Centre for Urban Science and PolicyDATA
Files (13)
- 3,319 bytesMD5:
2993ee322607c25835c45f857a6cbe4fREADME.md - 143,098 bytesMD5:
6871e161e3943bccdae32d31ab90460401-data-collection.ipynb - 3,585,707 bytesMD5:
927f5b050a248a4b87057a31bd02ca6302-data-preparation.ipynb - 41,439 bytesMD5:
d3599e9991bd9d9fc540a0c844e6fc6103-sentiment analysis.ipynb - 3,988 bytesMD5:
1209459e1868e49d0c6f9c660e5f2edd04-topic-modelling-stm.r - 506,395 bytesMD5:
3fa7b134b3f72cf30bf4b041d4bfdb6004-topic-modelling.ipynb - 928,104 bytesMD5:
22d7bd57b4f0ce9f834277a629ee0b4405-experiments.ipynb - 14,658,218 bytesMD5:
be496d736c309a055998a9bd5f5edc9506-value assignment.ipynb - 743,410 bytesMD5:
bce83948a5cedc5216021534d274f15207-spatial value clustering.ipynb - 817,039 bytesMD5:
23baf91d3c2ad946e78ac728e525389308-spatial topic clustering.ipynb - 16,911,153 bytesMD5:
297898dd44c31755a113b41ea1ad500e09-visualizations.ipynb - 9,259 bytesMD5:
ce6fe22a8ed2082e4827c5a32ba26a79environment.yml - 17,329 bytesMD5:
6806b5936ae02d92248c5096bf27c650valueconflicts.py -
download all files (zip)
38,368,458 bytes unzipped
