Cities for Citizens: Identification of Public Value Conflicts in Urban Spaces - Accompanying Code
doi:10.4121/15142287.v1
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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
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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.ResearchData
format
.ipynb;,md; R file
references
organizations
TU Delft, Faculty of Technology, Policy and Management, Centre for Urban Science and Policy
DATA
files (13)
- 3,319 bytesMD5:
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README.md - 143,098 bytesMD5:
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01-data-collection.ipynb - 3,585,707 bytesMD5:
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02-data-preparation.ipynb - 41,439 bytesMD5:
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03-sentiment analysis.ipynb - 3,988 bytesMD5:
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04-topic-modelling-stm.r - 506,395 bytesMD5:
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04-topic-modelling.ipynb - 928,104 bytesMD5:
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05-experiments.ipynb - 14,658,218 bytesMD5:
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06-value assignment.ipynb - 743,410 bytesMD5:
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07-spatial value clustering.ipynb - 817,039 bytesMD5:
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08-spatial topic clustering.ipynb - 16,911,153 bytesMD5:
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09-visualizations.ipynb - 9,259 bytesMD5:
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environment.yml - 17,329 bytesMD5:
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valueconflicts.py -
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