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Smallest Space Analysis: A Method for Relating Empirical Observation of Use of Space to Housing Design

University of Missouri, Columbia 65211

Ruth Stumpe Brent

University of Missouri, Columbia 65211

Evelyn Franklin

University of Minnesota, St. Paul 55108

Smallest space analysis, a statistical technique for creating a spatial representation of data, is examined to assess its usefulness for analyzing use-of-space data. The assumptions and the logic of the technique are discussed. This technique is illustrated with an application to use-of-space data. Smallest space analysis is found to be a promising technique for analyzing use-of-space data, lead ing to direct implications for housing design. In addition, this technique is useful in analyzing a wide variety of data in other fields of home economics.

(Home Economics Research Journal, November 1979. Vol. 8, No. 2)

Family and Consumer Sciences Research Journal, Vol. 8, No. 2, 110-117 (1979)
DOI: 10.1177/1077727X7900800204


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