Abstract
This article is a description of using a heatmap technique to study how patrons use different spaces in a health sciences library at a large, urban research university. Objective: This method is used to identify preferred seating locations within the library. Approach: This method involves counting where patrons are situated in the library at different times of the day, at different times of the year, and using that data to generate heat maps. Data type(s) used: The data consisted of locations and counts of patrons around the library at different time points. Strengths: Provides a granular look at space use in the library. Limitations: It is difficult to know why patrons prefer different sections of the library.
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