Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows

Joaquín Osorio Arjona and Juan Carlos García Palomares

Journal of Maps, 2020, vol. 16, issue 1, 153-160

Abstract: Recent progress in computation and the spatio-temporal richness of data obtained from new sources have invigorated Time Geography. It is now possible to visualise and represent movements of people in a dual spatial–temporal dimension. In this work, we use geo-located data from the social media platform Twitter to show the value of new data sources for Time Geography. The methodology consists of visualising space–time paths in 2D and 3D in four study zones, with different land-use profiles, based on tweets compiled over the course of two years. The results provide a view of behaviours occurring in the areas of study throughout the day, with complementary data to show the population's main activity at different times.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/17445647.2020.1778549 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjomxx:v:16:y:2020:i:1:p:153-160

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjom20

DOI: 10.1080/17445647.2020.1778549

Access Statistics for this article

Journal of Maps is currently edited by Dr Mike Smith, Dr Jeremy Porter and Dr Dick Berg

More articles in Journal of Maps from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().