A visual analytics approach for extracting spatio-temporal urban mobility information from mobile network traffic

ISPRS International Journal of Geo-Information

Volumn 1, Issue 3, 2012, Pages 256-271

  Sagl, Günther ^a   Loidl, Martin ^a   Beinat, Euro ^a  

^a UNIVERSITY OF SALZBURG   (Austria)

Author keywords

Big data; Collective human behavior spatio temporal patterns; Geographic information science; Social sensing; Urban dynamics; Urban mobility; Visual analytics

Indexed keywords

EID: 84889799703     PISSN: None     EISSN: 22209964     Source Type: Journal    
DOI: 10.3390/ijgi1030256     Document Type: Article

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