Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows
Osorio-Arjona, Joaquín y García Palomares, Juan Carlos . (2020) Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows. Journal of Maps, 16:1, 153-160
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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.
The registered version of this article, first published in Journal of Maps, 16:1, 153-160, is available online at the publisher's website: Taylor & Francis, https://doi.org/10.1080/17445647.2020.1778549
Notas adicionales
La versión registrada de este artículo, publicado por primera vez en Journal of Maps, 16:1, 153-160, está disponible en línea en el sitio web del editor: Taylor & Francis, https://doi.org/10.1080/17445647.2020.1778549
