Visual Exploration Of Big Spatio-Temporal Movement Data

Information visualization has quickly become an important means of data analysis.Visualization allows one to intuitively observe the patterns hidden in the abstract data.Now,a variety of location information acquisition devices and handheld mobile devices can easily collect location information,more and more data containing geographic location information is stored.Massive geographic data requires efficient and reasonable means of analysis.Information visualization can be used as an effective means to study the knowledge of movement data.The specific method reported in this thesis is(1)First,we dig from the original data hidden in the data group;(2)Second,we discover statistical characteristics of these groups;(3)We classify these features by clustering the characteristics;(4)then visualize the data.This paper presents an analysis method for large-scale mobile data.It can find aggregated data in these data.We then provide the visualization for these aggregated data analysis,from which to discover hidden knowledge to help researchers better understand the behavior of an explanation.