RT Journal Article
T1 Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows
A1 Osorio Arjona, Joaquín
A1 García Palomares, Juan Carlos
AB 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.
PB Taylor and Francis
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/124573
UL https://hdl.handle.net/20.500.14352/124573
LA eng
NO Osorio Arjona, Joaquín, y Juan Carlos García Palomares. «Spatio-Temporal Mobility and Twitter: 3D Visualisation of Mobility Flows». Journal of Maps, vol. 16, n.o 1, enero de 2020, pp. 153-60. DOI.org (Crossref), https://doi.org/10.1080/17445647.2020.1778549.
NO Comunidad de Madrid
NO MICIU/AEI/10.13039/501100011033/
DS Docta Complutense
RD 31 dic 2025