Show simple item record

dc.contributor.authorLien, John Nilsen
dc.date.accessioned2014-08-13T14:40:13Zen
dc.date.available2014-08-13T14:40:13Zen
dc.date.issued1985en
dc.identifier.urihttp://hdl.handle.net/10919/50048en
dc.description.abstractRegression models were developed to predict scenic quality for residential streets in Ann Arbor, Michigan for both Summer and Winter vegetative conditions. Scenic quality was quantified using the Scenic Beauty Estimation method. Only variables that existed in the city's computer data base were used. Variables such as diameter at breast height, basal area, number of trees, and tree species diversity were investigated as to their predictive ability. In addition, the predictive ability of quadratic, power, inverse, and logarithmic transformations of these variables was investigated. The best predictive Summer model used the natural log of the average diameter of street trees and the natural log of the average assessed property value as variables. The best predictive Winter model used the natural log of the average diameter of street trees as its independent variable.en
dc.format.extentvi, 68 leavesen
dc.format.mimetypeapplication/pdfen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 12109794en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1985.L536en
dc.subject.lcshUrban forestry -- Michigan -- Ann Arboren
dc.subject.lcshTrees in cities -- Michigan -- Ann Arboren
dc.subject.lcshLandscapes -- Rating of -- Simulation methodsen
dc.titleModeling scenic quality of residential streets using mensurational variablesen
dc.typeThesisen
dc.contributor.departmentForestryen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineForestryen
dc.type.dcmitypeTexten
dc.description.adminincomplete_metadataen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record