Datasets which contain both spatial and temporal elements are unique in that they contain both spatially and temporally specific phenomena. A toolset that allows for emphasis to be placed on a specific perspective of a dataset is not readily available nor is the investigation into how useful this type of multi-perspective analysis is. This work develops the tri-space framework put forth by Skupin, 2010. This study focused on three main issues placing the tri-space in the literature, design and implementation the tri-space and if and how cross perspective analysis can be achieved. It was found that the tri-space does add to the current abilities of multiperspective data analysis in that it increases the number of data perspectives available. The six different data perspectives available within the tri-space framework do each offer the ability to obtain unique insight. Also different perspectives of data do offer unique insights into any one dataset. Viewing each of these perspectives simultaneously does offer interesting insight into the data which should be investigated in future studies.