title: An overview of city analytics.
abstract: We introduce the 14 articles in the Royal Society Open Science themed issue on City Analytics. To provide a high-level, strategic, overview, we summarize the topics addressed and the analytical tools deployed. We then give a more detailed account of the individual contributions. Our overall aims are (i) to highlight exciting advances in this emerging, interdisciplinary field, (ii) to encourage further activity and (iii) to emphasize the variety of new, public-domain, datasets that are available to researchers.
authors.affiliation: Department of Mathematics and Statistics , University of Strathclyde , Glasgow, UK.
authors.forename: Desmond J
authors.initials: DJ
authors.lastname: Higham
authors.affiliation: Centre for Advanced Spatial Analysis , University College London , London, UK.
authors.forename: Michael
authors.initials: M
authors.lastname: Batty
authors.affiliation: Santa Fe Institute , Santa Fe, NM, USA.
authors.forename: Luís M A
authors.initials: LM
authors.lastname: Bettencourt
authors.affiliation: Department of Mathematics and Statistics , University of Reading , Reading, UK.
authors.forename: Danica Vukadinović
authors.initials: DV
authors.lastname: Greetham
authors.affiliation: Mathematical Institute , University of Oxford , Oxford, UK.
authors.forename: Peter
authors.initials: P
authors.lastname: Grindrod
keywords: clustering; crowdsourcing; inference; modelling; networks; scaling