Full TGIF Record # 309105
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DOI:10.1007/s10980-019-00891-y
Web URL(s):https://link.springer.com/article/10.1007/s10980-019-00891-y
    Last checked: 11/06/2019
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https://link.springer.com/content/pdf/10.1007%2Fs10980-019-00891-y.pdf
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Publication Type:
i
Refereed
Author(s):Chen, Shuolei; Sleipness, Ole Russell; Christensen, Keith M.; Feldon, David; Xu, Yannan
Author Affiliation:Chen, Sleipness, and Christensen: Department of Landscape Architecture and Environmental Planning, Utah State University, Logan, UT; Feldon: Department of Instructional Technology and Learning Sciences, Utah State University, Logan; Xu: College of Forest Resource and Environment, Nanjing Forestry University, Nanjing, China
Title:Environmental justive and park quality in an intermountain west gateway community: Assessing the spatial autocorrelation
Source:Landscape Ecology. Vol. 34, No. 10, October 2019, p. 2323-2335.
Publishing Information:The Hague: SPB Academic Pub.
# of Pages:13
Related Web URL:https://link.springer.com/article/10.1007/s10980-019-00891-y#Abs1
    Last checked: 11/06/2019
    Notes: Abstract only
Keywords:TIC Keywords: Environmental justice; Geographical distribution; Landscape design; Parks; Quality evaluation
Author-Supplied Keywords: Spatial analysis and assessment; Spatial regression; Socioeconomic factor; Minority; Landscape design; Urban planning; Parks and recreation
Abstract/Contents:"Context Research on environmental justice issues, particularly unequal park distribution and quality, has found that communities minority density and socioeconomic status (SES) are often correlated with disparate park qualities. However, most studies of spatial relationships between park quality and socioeconomic factors employ simple statistical analyses, which do not account for potential spatial autocorrelations and their effects on validity. Objectives This study determines whether the distribution of park quality is spatially autocorrelated and assesses the associations among multiple indicators of environmental justice and both separate park features and overall park quality. Methods This study evaluates spatial relationships between park quality and multiple environmental justice indicators in Cache County, Utah following the spatial regression process conducted in R programming language. Both overall park quality and separate feature qualities were audited by the PARK (Parks, Activity, and Recreation among Kids) tool. Environmental justice indicators included minority density, poverty, unemployment, low-education, renter rate, and yard size. Results Results illustrate a spatial autocorrelation existing in park quality distribution, detecting the dependence of the variable for quantitative research. They also show significant correlations between park quality and environmental justice indicators. Conclusions The studys spatial regression model is a model for analyzing the spatial data and avoids the autocorrelation which is overlooked by the normal statistical approaches. Also, variances of park quality can be accounted for by different environmental justice indicators, such as minority density, poverty, and yard size. This disclosure of disparate public resource quality treatment among different groups of individuals could inspire policy makers and city planners to correct these disparities."
Language:English
References:43
Note:Maps
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Chen, S., O. R. Sleipness, K. M. Christensen, D. Feldon, and Y. Xu. 2019. Environmental justive and park quality in an intermountain west gateway community: Assessing the spatial autocorrelation. Landscape Ecol. 34(10):p. 2323-2335.
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DOI: 10.1007/s10980-019-00891-y
Web URL(s):
https://link.springer.com/article/10.1007/s10980-019-00891-y
    Last checked: 11/06/2019
    Access conditions: Item is within a limited-access website
https://link.springer.com/content/pdf/10.1007%2Fs10980-019-00891-y.pdf
    Last checked: 11/06/2019
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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