The Isovist_App can show isovists directly, compute inherent geometrical or relational properties of them as ‘measures’ and display spatial representations of how such measures are distributed in space as ‘fields’.

Of the twenty three different fields produced by the Isovist_App, ten are ‘local’ isovist measures that relate to occupant experience within space; Area, Perimeter, Closed Perimeter, Compactness, Occlusivity, Vista Length, Average Radial, Drift, Variance, and Skewness (Benedikt, 1979). Five are ‘global’ Space Syntax-type measures that characterise configurational relations across a plan as a whole (Penn, 2003 & Hillier, 1996); Choice, Mean Metric Depth, Mean Visual Depth, Mean Angular Depth, and Integration (HH) (Hillier & Hanson, 1984, Teklenburg, 1993, & McElhinney, 2024). The remaining eight measures are ‘semi-local’ or relational measures that span between local and global information; Directed Visibility, Co-Visibility, Overt Control, Covert Control, Counterpoint, Metric Depth to Location, Visual Depth to Location and Angular Depth to Location (Hillier & Hanson, 1984, & Turner, 2001b). 

In addition to rapid field analysis, the Isovist_App can conduct real-time justified graph diagramming, as well as point isovist, path isovist, region isovist and isovist agent analysis. It includes a scatter plot tool that can be used to review correlations (or lack thereof) between the massive data sets produced. 

Collectively, the tools of the Isovist_App allow the user to examine and isolate spatial transformations or configurative properties with bearings upon ‘understanding architecture’.