Publicación: Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows
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Fecha
2020-06-18
Autores
García Palomares, Juan Carlos
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Prologuista
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Derechos de acceso
Atribución-NoComercial-SinDerivadas 4.0 Internacional
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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Editor
Taylor & Francis
Resumen
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.
Descripción
Categorías UNESCO
Palabras clave
Mobility, Twitter, time Geography, GIS, space–time paths
Citación
Centro
Facultad de Geografía e Historia
Departamento
Geografía