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Research ArticleArticles

Methodology for Spatial Analysis of Municipal Street Tree Benefits

F.D. Cowett
Arboriculture & Urban Forestry (AUF) March 2014, 40 (2) 112-118; DOI: https://doi.org/10.48044/jauf.2014.012
F.D. Cowett
F.D. Cowett, Post-doctoral Associate, Department of Horticulture, Cornell University, 134 Plant Sciences Bldg., Ithaca, New York 14853, U.S.,
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    Figure 1.

    Spatial distribution of Benefit Density (left) and Street Tree Density (right), in Providence, Rhode Island, U.S. Values are apportioned equally to three subsets. Darker shading indicates larger values.

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    Figure 2.

    Benefit Density and Street Tree Density z-scores for Providence block groups in the 2000 U.S. Census.

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    Table 1.

    OLS regression statistics in GeoDA employing weight matrices to account for spatial autocorrelation (α = 0.05, n = 162).

    Benefit densityTree density
    r2Prob > Fr2Prob > F
    Median household income0.267<0.00010.179<0.0001
    Median value owner-occupied housing0.210<0.00010.165<0.0001
    Percent B.A. educational attainment0.389<0.00010.333<0.0001
    Percent black population0.0800.00030.0320.0233
    Percent occupied housing0.0970.00010.0340.0193
    Percent white population0.190<0.00010.0850.0002
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Arboriculture & Urban Forestry (AUF): 40 (2)
Arboriculture & Urban Forestry (AUF)
Vol. 40, Issue 2
March 2014
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Methodology for Spatial Analysis of Municipal Street Tree Benefits
F.D. Cowett
Arboriculture & Urban Forestry (AUF) Mar 2014, 40 (2) 112-118; DOI: 10.48044/jauf.2014.012

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Methodology for Spatial Analysis of Municipal Street Tree Benefits
F.D. Cowett
Arboriculture & Urban Forestry (AUF) Mar 2014, 40 (2) 112-118; DOI: 10.48044/jauf.2014.012
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Keywords

  • benefits
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