Dataset from Zenodo · Stahmer, Carl
Data from: What is in a general plan? using natural language processing to read 461 California city general plans
- License
- CC0 1.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- R, ZIP, GZ, MALLET, DAT
- Size
- 220 MB
- Updated
- Jun 2, 2022
Description
This repository contains all data outputs related to reasearch that analyzed General Plans from cities across the state of California to understand what topics are adressed and the spacial distribution of topic rerpresentation. We assembles a database of 421 California city-level General Plans and used Natural Language Processing to read their contents. The plans contained over 60 discrete topics and wer generally optimistic in sentiment. A quarter of the topics were reagionally specific. Housing is a unique subset of planning topics, and plans for affordable housing are not evenly shared across sites.
Description from Zenodo, shortened.
Files (10)
- RSpatial_Cities_Topics.R4.8 kB
- ZIPcities_topics_2019-05-03.zip793 kB
- GZtopic_state.gz143 MB
- MALLETtopics.mallet74 MB
- ZIPcities_topics_2019-04-08.zip496 kB
- Rmap_sentiment_analysis.R2.7 kB
- DATtopic_docs.dat496 kB
- DATdoc_topics.dat551 kB
- ZIPavg_sentiment_2019-10-16.zip448 kB
- ZIPcities_topics_2019-04-05.zip481 kB
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