Open AccessA Correlation Visual Analytics System for Air Quality
Author(s) -
Du Yi,
Abish Malik,
Zhou Lianke,
Zhou Yuanchun
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.04.013
Subject(s) - visual analytics , computer science , analytics , correlation , quality (philosophy) , data mining , visualization , mathematics , physics , geometry , quantum mechanics
A visual analytics system is proposed to reveal the lead/lag correlation when air pollution is detected. In this system, an Overview + Detail approach is utilized for analyzing the correlation of air quality under both the spatial and temporal dimensions and diffierent spatial‐temporal scales. An annular container is proposed to preserve the context spatial information while the zoom level of the map changes. Based on the annular container, several analysis techniques such as STL decomposition view and correlation algorithm are integrated.