Title :
Unlocking the Complexity of Port Data With Visualization
Author :
Quang Vinh Nguyen ; Kang Zhang ; Simoff, Simeon
Author_Institution :
MARCS Inst. & Sch. of Comput., Eng. & Math., Sydney, NSW, Australia
Abstract :
Interactive visual analysis can support displaying complex multidimensional data. We developed a novel system, which can incorporate domain knowledge and visual guidelines, to present complex logistical data. This paper presents the details of the development process of that system. Diagrammatic visualization approach was adopted for presenting multidimensional port data, in relation to events. The paper discusses case studies with land-side data and wharf-side data obtained from Port Botany in Sydney, Australia. We conducted a usability study with 20 students that compared performance with our visualization against a traditional bar chart. Task completion was significantly shorter with the diagrammatic visualization, and the visualization was rated higher in overall user preference.
Keywords :
data analysis; multidimensional systems; complex logistical data; complex multidimensional data; diagrammatic visualization; diagrammatic visualization approach; interactive visual analysis; land-side data; multidimensional port data complexity; traditional bar chart; visual guidelines; wharf-side data; Containers; Data visualization; Logistics; Marine vehicles; Ports (Computers); Transportation; Visualization; Diagrammatic visualization; overview plus detail display; port data analysis;
Journal_Title :
Human-Machine Systems, IEEE Transactions on
DOI :
10.1109/THMS.2014.2369375