Visual perception is one of the most important sensory processes for most of the population. This process plays a key role in how we navigate and way find in urban environments. A wide range of literature offers insight into the relationship between the structure of urban spaces and navigability, as well as literature identifying how individual differences play a role in how well people can recall elements and navigate environments. Measurement techniques that reveal these differences are often captured as procedurally based evaluations after individuals have navigated through an environment. However, these valuations do not necessarily help us understand the process of how observations link to recall and navigation. In this paper, we show a new technique for conducting eye tracking in 3D virtual environments to assess the process of observation in urban environments. Further, we demonstrate how clustering techniques can be used to improve eye tracking data generated in these 3D environments. The techniques we provide can offer a new means to better understand how form, function, and design elements are observed.