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Smallest Space Analysis: A Method for Relating Empirical Observation of Use of Space to Housing Design
Author(s) -
Brent Edward,
Brent Ruth Stumpe,
Franklin Evelyn
Publication year - 1979
Publication title -
home economics research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.372
H-Index - 31
eISSN - 1552-3934
pISSN - 0046-7774
DOI - 10.1177/1077727x7900800204
Subject(s) - space (punctuation) , representation (politics) , variety (cybernetics) , computer science , data mining , theoretical computer science , artificial intelligence , politics , political science , law , operating system
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.