A framework of spatio-temporal data adaptive visualizations for mobile environment

Developing spatiotemporal data adaptive visualization methods for spatial information services is an essential and complex issue, particularly on the small display devices. It is becoming ever more important with the progress in the fields of mobile Internet and positing methods, as well as the widely use of mobile devices. However, the limitations in devices and the changes in user´s demands make the traditional methods difficult to fit this situation in mobile environment. In this paper, we present a conceptual framework to handle spatial information representation on mobile devices based on vehicle navigation systems, and discuss related key techniques including the spatial information filtering using the geographic relevance theory, modeling the typical context and designing the adaptive visualization methods. Finally, a case application in the vehicle navigation services was discussed and the results prove this proposed framework is feasible.