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An overview of city analytics.
Desmond J Higham1, Michael Batty2, Luís M A Bettencourt3
1Department of Mathematics and Statistics , University of Strathclyde , Glasgow, UK.
Royal Society Open Science
|April 8, 2017
Summary
This collection highlights advances in City Analytics, showcasing diverse analytical tools and public-domain datasets. It aims to foster interdisciplinary research in this growing field.
Area of Science:
- Urban Studies
- Data Science
- Interdisciplinary Research
Background:
- City Analytics is an emerging field.
- There is a growing need for strategic overviews of research in this area.
- Publicly available datasets are crucial for advancing urban research.
Purpose of the Study:
- To provide a strategic overview of the City Analytics field.
- To summarize key topics and analytical tools used in recent research.
- To encourage further research and highlight available datasets.
Main Methods:
- Review of 14 articles in a themed issue on City Analytics.
- Categorization of research topics and analytical methodologies.
- Identification of public-domain datasets utilized in the studies.
Main Results:
- The themed issue covers a wide range of City Analytics topics.
- Diverse analytical tools, from traditional statistics to machine learning, are employed.
- Numerous new public-domain datasets are available for urban research.
Conclusions:
- City Analytics is a rapidly advancing interdisciplinary field.
- The availability of diverse datasets and analytical tools supports further research.
- Collaboration and data sharing are key to future progress in understanding urban environments.