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Mapping Market Areas Using Nonparametric Smoothing
Author(s) -
Brorsen B. Wade,
Bailey Dee,
Thomsen Michael R.
Publication year - 1997
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.1997.tb00958.x
Subject(s) - feeder cattle , smoothing , nonparametric statistics , business , principal (computer security) , econometrics , computer science , economics , agricultural science , environmental science , computer vision , operating system
A new method is proposed to map firms' principal market areas using shipment data. The new method is a general one which could prove just as useful in mapping the incidence of disease as in mapping market areas. This method is applied to agricultural data for feeder cattle sales at a video cattle auction. Transportation costs appear to be the main determinant of market area boundaries, but there are many cases where transportation costs alone cannot explain the market areas found. The size and shape of market areas for feeder cattle buyers are large, irregularly shaped, and extensively overlapping.