An Analysis of the Revere, Quincy and Stamford Structure Data Bases for Predicting Building Material Distribution.
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 sub 2 and eta sub 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. Additional keywords: Acid precipitation; acid rain; tables(data); charts; Army Corps of Engineers. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1985
- Accession Number
- ADA157458
Entities
People
- C. J. Merry
- P. J. Lapotin
Organizations
- Cold Regions Research and Engineering Laboratory