New views on multivariable spatio - temporal data : the space time cube expanded

Multivariable spatio-temporal data is used to describe the change of characteristics of objects with time and location, and the change in location of objects is also considered. To analysis of this kind of data, data visualization is one of the effective techniques. This paper presents two new visualization approaches, the Multivariable-Time-Cube (MTC) and Parallel Coordinate Plot-Time-Cube (PTC) and linked to the SpaceTime-Cube (STC) to solve the problems of large amounts of multivariate spatio-temporal data.