Pregled bibliografske jedinice broj: 965179
Bus Lines Explorer: Interactive Exploration of Public Transportation Data
Bus Lines Explorer: Interactive Exploration of Public Transportation Data // VINCI '16 Proceedings of the 9th International Symposium on Visual Information Communication and Interaction
New York (NY): The Association for Computing Machinery (ACM), 2016. str. 30-34 doi:10.1145/2968220.2968238 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 965179 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Bus Lines Explorer: Interactive Exploration of Public Transportation Data
(Bus Lines Explorer)
Autori
Splechtna, Rainer ; Diehl, Alexandra ; Elshehaly, Mai ; Delrieux, Claudio ; Gračanin, Denis ; Matković, Krešimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
VINCI '16 Proceedings of the 9th International Symposium on Visual Information Communication and Interaction
/ - New York (NY) : The Association for Computing Machinery (ACM), 2016, 30-34
ISBN
978-1-4503-4149-3
Skup
VINCI '16
Mjesto i datum
Dallas (TX), Sjedinjene Američke Države, 24.09.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Visual Analysis, Movement and Public Transportation Data
Sažetak
Public transportation movement data provide a wealth of information and insights into many aspects of urban life and human behavior. However, huge amounts of raw data, coupled with incomplete or inconsistent records, may turn into an obstacle for the effective use of the available information. The need for effective movement data analysis has resulted in a large number of visual analytics tools and specialized views. There are still many challenges in public transportation and other kinds of cyclic movement data analysis. In this paper we address some of those challenges by presenting an improvement of the standard map view. This improved view is specifically designed to simplify and make the visual analysis of complex movement data easier to perform, especially when integrated in a coordinated multiple views tool and articulated together with other techniques. We illustrate the effectiveness of the view on public transportation data from Bahía Blanca, Argentina.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
