Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities

dc.contributor.authorJensen, Ryanen_US
dc.contributor.authorGatrell, Jayen_US
dc.contributor.authorBoulton, Jimen_US
dc.contributor.authorHarper, Bruceen_US
dc.date.accessioned2009-07-31T14:58:25Z
dc.date.available2009-07-31T14:58:25Z
dc.date.issued2004en_US
dc.date.submitted2009-04-06en_US
dc.date.submitted2009-04-06en_US
dc.description.abstract"This study examines urban quality of life by assessing the relationship between observed socioeconomic conditions and urban forest amenities in Terre Haute, Indiana, USA. Using remote-sensing methods and techniques, and ordinary least squares regression, the paper determines the relationship between urban leaf area and a population density parameter with median income and median housing value. Results demonstrate positive correlations between urban leaf area, population density, and their interaction with median income and median housing value. Furthermore, leaf area, density, and their interaction statistically account for observed variance in median income and median housing value, indicating that these variables may be used to study observed quality-of-life metrics. The methods used in this study may be useful to city managers, planners, and foresters who are concerned with urban quality-of-life issues, and who are interested in developing and implementing alternative policy assessment regimes."en_US
dc.identifier.citationjournalEcology and Societyen_US
dc.identifier.citationmonthDecemberen_US
dc.identifier.citationnumber5en_US
dc.identifier.citationvolume9en_US
dc.identifier.urihttps://hdl.handle.net/10535/3205
dc.subjectGISen_US
dc.subjecturban affairsen_US
dc.subjecturban forestryen_US
dc.subject.sectorUrban Commonsen_US
dc.subject.sectorForestryen_US
dc.titleUsing Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenitiesen_US
dc.typeJournal Articleen_US
dc.type.publishedpublisheden_US

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