期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-2/W25
出版社：Copernicus Publications
摘要：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 Space- Time-Cube (STC) to solve the problems of large amounts of multivariate spatio-temporal data
