This research focuses on understating how humans perceive movement visually. Movement is realized in both a three (or four) dimensional space (i.e. location and time) and a multidimensional attribute space (i.e. context variables). The syntheses of these two spaces need new effective tools for dynamic visualization of the traversal of a moving individual through these dimensions. Our research advances cartographic theories for movement and creates innovative visualization methods to enhance fundamental knowledge on how motion should be represented in space and time and across scales. For a prototype of this research please see DYNAMOvis project.