Abstract
Occlusion maps are qualitative, plan-based visualization tools composed of multiple, distributed isovist polygons. This paper formalizes occlusion maps as a reproducible analytical framework. The paper provides a theoretical overview of existing qualitative methods while defining and exploring the key parameters that govern the production of occlusion maps. The primary result is a framework that bridges the gap between qualitative visualization and computational rigor by establishing parameter stability as a condition of methodological validity, thereby enabling systematic, cross-case comparisons not possible with existing methods. In this way, the research advances the field by providing a robust and replicable method for visibility analysis.
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