Primatologists often meet the challenge of how to interpret the complex high resolution GPS-collected movement points, which include space, time and attribute aspects. Using the tracking data of a group of black capuchins (Sapajos nigritus) in Atlantic Forest, we first quantified the movement to environment variables and path properties at different temporal scales. Then we developed innovative visualization techniques such as space-time aquarium, attribute clock, and time-time plot to represent spatial, temporal and attribute information of the trajectories within a GIS framework. Comparison of the movement patterns is made between April (fruit-abundant month) and May (fruit-scarce month). Finally, we integrated all the functions into one exploratory data analysis toolbox. The general behavior patterns of the group of monkeys under different environmental scenarios are identified. The results have also shown the effectiveness of the proposed visualization techniques in the exploratory analysis of large movement dataset.