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 one different fields produced by the Isovist_App, ten are ‘local’ isovist measures that relate to occupant experience within space; Area (or Connectivity), Perimeter, Compactness, Occlusivity, Vista Length, Average Radial, Drift, Variance, Skewness and Curvature (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). The remaining six measures are ‘semi-local’ or relational measures that span between local and global information; Visibility, Control, Controllability (Hillier & Hanson, 1984, & Turner, 2001b), Metric Depth to Location, Visual Depth to Location and Angular Depth to Location. 

In addition to rapid field analysis, the Isovist_App can conduct real-time point isovist, path isovist, region isovist and isovist agent analysis. It also includes an integrated scatter graph tool that can be used to review correlations (or lack thereof) between the massive data sets produced for each measure field. 

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