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The continued development of a prototype of an analytical tool and database to allow humanities scholars and students to comparatively study architectural floor plans. The test case would be a collection of floor plans by American architect Frank Lloyd Wright from the Alexander Architectural Archives at the University of Texas, Austin.

Currently, those who design and study the built environment are hindered by an inability to examine large datasets of architectural drawings. Despite advancements in image recognition, no integrated system is capable of storing, reading, and analyzing floor plans. To solve this problem, this project is developing the Building Database & Analytics System (BuDAS) to partially automate the process of floor plan analysis. This project is seeking funding to expand the prototype into an integrated open source system with image recognition software for automatic floor plan detection, a database for the storage and management of data, and advanced query and graphing tools. BuDAS will allow users to compare thousands of plans to discover common design elements, examine spatial relationships over time, and mine for patterns across datasets. These findings will allow for a deeper understanding of the trends and patterns of space usage and the relationship between buildings and human experience.