Abstract
This chapter of the book focuses on multivariate descriptions of urban layouts. Among the many statistical techniques of multivariate descriptions, factor analysis is a data reduction technique that uncovers patterns of interrelationships among a large set of variables and then clusters highly interrelated variables into factors. This technique is used here to reduce the large numbers of geometric measures of different urban layout maps to a smaller, more manageable number of factors or descriptive indicators.
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References
Lynch K, Rodwin L (1958) A theory of urban form. J Am Inst Plann 24(4):201–214
MacEachren AM (1985) Compactness of geographic shape: comparison and evaluation of measures. Geogr Ann B Hum Geogr 67(1):53–67
Hansen WG (1959) How accessibility shapes land use. J Am Inst Plann 25(2):73–76
Guttenberg AZ (1960) Urban structure and urban growth. J Am Inst Plann 26(2):104–110
Castner HW, Eastman RJ (1985) Eye-movement parameters and perceived map complexity: II. Am Cartogr 12(1):29–40
Robinson AH (1952) The look of maps. University of Wisconsin Press, Madison
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Rashid, M. (2017). Developing Descriptive Categories, Types, and Indicators: Multivariate Descriptions of Urban Layouts. In: The Geometry of Urban Layouts. Springer, Cham. https://doi.org/10.1007/978-3-319-30750-3_7
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DOI: https://doi.org/10.1007/978-3-319-30750-3_7
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