Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/11955
Title: An analysis of the Revere, Quincy and Stamford structure data bases for predicting building material distribution
Authors: United States. Environmental Protection Agency.
Merry, C. J.
LaPotin, Perry J.
Keywords: Acid precipitation
Building materials
Precipitation
Databases
Publisher: Cold Regions Research and Engineering Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Special report (Cold Regions Research and Engineering Laboratory (U.S.)) ; 85-7.
Description: Special Report
Abstract: Data bases on buildings in Revere and Quincy, Massachusetts, and Stamford, Connecticut, were studied to determine if a measure of building material distribution could be calculated for a city using land use, census tract and the Corps' data on buildings. Statistical measures of chi-square, asymmetric lambda, uncertainty coefficient, F ordinate, as well as the R(2) and n(2) statistics were calculated for the three data bases. The Corps definition of building type was found to be the best predictor of the building surface area. However, all indicators (including building type) explained only low percentages of the variability in the dependent variable (building surface area). Our results indicated that other variables are required to explain the variability of building surface area adequately. Note: Numerals in ( ) brackets appear as exponents in the file.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/11955
Appears in Collections:Special Report

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