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AN APPLICATION OF DISCRIMINANT ANALYSIS TO PREDICT INDUSTRIAL/COMMERCIAL FLOOD PLAIN LOCATION 1
Author(s) -
Meyer Carl F.,
Corbeau Andre B.
Publication year - 1974
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1974.tb00585.x
Subject(s) - linear discriminant analysis , liberian dollar , floodplain , flood myth , discriminant , coastal plain , square (algebra) , statistics , environmental science , hydrology (agriculture) , mathematics , econometrics , geography , engineering , computer science , business , geology , cartography , geotechnical engineering , artificial intelligence , finance , archaeology , paleontology , geometry
This paper describes the techniques of factor and discriminant analyses to isolate and quantify the statistical differences between firms located on flood plains and those located off flood plains. The research effort described consists of three segments: data collection, isolation of potential classification variables, and the determination of the appropriate discriminant functions to classify a given fm as either on or off the flood plain. Significant classification functions are developed for both manufacturing and commercial establishments, whose arguments include dollar sales volume, total shipping cost, total employee cost, dollar valuations on the building and inventories, all on an annual basis, and the square footage of the site.