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<title>Chapter 8 References | Modelling correlation between access to green space and demographic and health variables in London.</title>
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CEGE0097 Group Coursework
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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> Introduction</a></li>
<li class="chapter" data-level="2" data-path="data-description.html"><a href="data-description.html"><i class="fa fa-check"></i><b>2</b> Data Description</a>
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<li class="chapter" data-level="2.1" data-path="data-description.html"><a href="data-description.html#green-space-data"><i class="fa fa-check"></i><b>2.1</b> Green Space Data</a></li>
<li class="chapter" data-level="2.2" data-path="data-description.html"><a href="data-description.html#demographic-data"><i class="fa fa-check"></i><b>2.2</b> Demographic Data</a></li>
<li class="chapter" data-level="2.3" data-path="data-description.html"><a href="data-description.html#data-multicollinearity"><i class="fa fa-check"></i><b>2.3</b> Data Multicollinearity</a></li>
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<li class="chapter" data-level="3" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html"><i class="fa fa-check"></i><b>3</b> Exploratory Spatial Data Analysis</a>
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<li class="chapter" data-level="3.1" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#london-greenspace-distribution"><i class="fa fa-check"></i><b>3.1</b> London Greenspace distribution</a></li>
<li class="chapter" data-level="3.2" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#demographic-distribution-across-london"><i class="fa fa-check"></i><b>3.2</b> Demographic distribution across London</a>
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<li class="chapter" data-level="3.2.1" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#income"><i class="fa fa-check"></i><b>3.2.1</b> Income</a></li>
<li class="chapter" data-level="3.2.2" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#age"><i class="fa fa-check"></i><b>3.2.2</b> Age</a></li>
<li class="chapter" data-level="3.2.3" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#life-expectancy"><i class="fa fa-check"></i><b>3.2.3</b> Life Expectancy</a></li>
<li class="chapter" data-level="3.2.4" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#ethnicity"><i class="fa fa-check"></i><b>3.2.4</b> Ethnicity</a></li>
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<li class="chapter" data-level="3.3" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#spatial-autocorrelation"><i class="fa fa-check"></i><b>3.3</b> Spatial Autocorrelation</a>
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<li class="chapter" data-level="3.3.1" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#global-morans-i"><i class="fa fa-check"></i><b>3.3.1</b> Global Moran’s I</a></li>
<li class="chapter" data-level="3.3.2" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#local-morans-i"><i class="fa fa-check"></i><b>3.3.2</b> Local Moran’s I</a></li>
<li class="chapter" data-level="3.3.3" data-path="exploratory-spatial-data-analysis.html"><a href="exploratory-spatial-data-analysis.html#semivariogram"><i class="fa fa-check"></i><b>3.3.3</b> Semivariogram</a></li>
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<li class="chapter" data-level="5" data-path="results.html"><a href="results.html"><i class="fa fa-check"></i><b>5</b> Results</a>
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<li class="chapter" data-level="5.1" data-path="results.html"><a href="results.html#ols"><i class="fa fa-check"></i><b>5.1</b> OLS</a></li>
<li class="chapter" data-level="5.2" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.2</b> Shapiro-Wilk Normality Test</a></li>
<li class="chapter" data-level="5.3" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.3</b> Moran’s I on OLS residuals</a>
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<li class="chapter" data-level="5.3.1" data-path="results.html"><a href="results.html#south"><i class="fa fa-check"></i><b>5.3.1</b> South</a></li>
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<li class="chapter" data-level="5.4" data-path="results.html"><a href="results.html#lagrange-multiplier-tests"><i class="fa fa-check"></i><b>5.4</b> Lagrange Multiplier Tests</a>
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<li class="chapter" data-level="5.4.1" data-path="results.html"><a href="results.html#london"><i class="fa fa-check"></i><b>5.4.1</b> London</a></li>
<li class="chapter" data-level="5.4.2" data-path="results.html"><a href="results.html#north"><i class="fa fa-check"></i><b>5.4.2</b> North</a></li>
<li class="chapter" data-level="5.4.3" data-path="results.html"><a href="results.html#east-and-west"><i class="fa fa-check"></i><b>5.4.3</b> East and West</a></li>
<li class="chapter" data-level="5.4.4" data-path="results.html"><a href="results.html#south-1"><i class="fa fa-check"></i><b>5.4.4</b> South</a></li>
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<li class="chapter" data-level="5.5" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.5</b> Spatial Regression Models</a>
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<li class="chapter" data-level="5.5.1" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.5.1</b> Spatial Lag Model</a></li>
<li class="chapter" data-level="5.5.2" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.5.2</b> Spatial Error Model</a></li>
<li class="chapter" data-level="5.5.3" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.5.3</b> Spatial Durbin</a></li>
<li class="chapter" data-level="5.5.4" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.5.4</b> GWR</a></li>
<li class="chapter" data-level="5.5.5" data-path="results.html"><a href="results.html#css_id"><i class="fa fa-check"></i><b>5.5.5</b> OLS and Spatial Filtering</a></li>
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<li class="chapter" data-level="6" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html"><i class="fa fa-check"></i><b>6</b> Discussion and Conclusions</a>
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<li class="chapter" data-level="6.1" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#model-selection"><i class="fa fa-check"></i><b>6.1</b> Model Selection</a>
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<li class="chapter" data-level="6.1.1" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#greater-london"><i class="fa fa-check"></i><b>6.1.1</b> Greater London</a></li>
<li class="chapter" data-level="6.1.2" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#north-london"><i class="fa fa-check"></i><b>6.1.2</b> North London</a></li>
<li class="chapter" data-level="6.1.3" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#east-london"><i class="fa fa-check"></i><b>6.1.3</b> East London</a></li>
<li class="chapter" data-level="6.1.4" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#west-london"><i class="fa fa-check"></i><b>6.1.4</b> West London</a></li>
<li class="chapter" data-level="6.1.5" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#south-london"><i class="fa fa-check"></i><b>6.1.5</b> South London</a></li>
</ul></li>
<li class="chapter" data-level="6.2" data-path="discussion-and-conclusions.html"><a href="discussion-and-conclusions.html#limitations-and-future-work"><i class="fa fa-check"></i><b>6.2</b> Limitations and future work</a></li>
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<li class="chapter" data-level="7" data-path="appendix.html"><a href="appendix.html"><i class="fa fa-check"></i><b>7</b> Appendix</a>
<ul>
<li class="chapter" data-level="7.1" data-path="appendix.html"><a href="appendix.html#ordinary-least-squares-ols-results"><i class="fa fa-check"></i><b>7.1</b> Ordinary Least Squares (OLS) Results</a></li>
<li class="chapter" data-level="7.2" data-path="appendix.html"><a href="appendix.html#spatial-lag-results"><i class="fa fa-check"></i><b>7.2</b> Spatial Lag Results</a></li>
<li class="chapter" data-level="7.3" data-path="appendix.html"><a href="appendix.html#spatial-error-results"><i class="fa fa-check"></i><b>7.3</b> Spatial Error Results</a></li>
<li class="chapter" data-level="7.4" data-path="appendix.html"><a href="appendix.html#spatial-durbin-results"><i class="fa fa-check"></i><b>7.4</b> Spatial Durbin Results</a></li>
<li class="chapter" data-level="7.5" data-path="appendix.html"><a href="appendix.html#geographically-weighted-regression-results"><i class="fa fa-check"></i><b>7.5</b> Geographically Weighted Regression Results</a>
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<li class="chapter" data-level="7.5.1" data-path="appendix.html"><a href="appendix.html#shapiro-wilk-normality-tests-before-normalisation"><i class="fa fa-check"></i><b>7.5.1</b> Shapiro-Wilk Normality Tests before normalisation</a></li>
<li class="chapter" data-level="7.5.2" data-path="appendix.html"><a href="appendix.html#shapiro-wilk-normality-test-after-normalisation"><i class="fa fa-check"></i><b>7.5.2</b> Shapiro-Wilk Normality Test after normalisation</a></li>
<li class="chapter" data-level="7.5.3" data-path="appendix.html"><a href="appendix.html#shapiro-wlike-normality-test-for-ols-residuals"><i class="fa fa-check"></i><b>7.5.3</b> Shapiro-Wlike Normality Test for OLS Residuals</a></li>
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<li class="chapter" data-level="7.6" data-path="appendix.html"><a href="appendix.html#ols-with-spatial-filtering-results"><i class="fa fa-check"></i><b>7.6</b> OLS with Spatial Filtering Results</a>
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<li class="chapter" data-level="7.6.1" data-path="appendix.html"><a href="appendix.html#lagrange-multiplier-diagnostics-for-spatial-dependence"><i class="fa fa-check"></i><b>7.6.1</b> Lagrange Multiplier Diagnostics for Spatial Dependence</a></li>
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<li class="chapter" data-level="8" data-path="references.html"><a href="references.html"><i class="fa fa-check"></i><b>8</b> References</a></li>
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<i class="fa fa-circle-o-notch fa-spin"></i><a href="./">Modelling correlation between access to green space and demographic and health variables in London.</a>
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<h1><span class="header-section-number">Chapter 8</span> References</h1>
<div id="refs" class="references csl-bib-body hanging-indent">
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Astell-Burt, Thomas, Xiaoqi Feng, Suzanne Mavoa, Hannah M Badland, and Billie Giles-Corti. 2014. <span>“Do Low-Income Neighbourhoods Have the Least Green Space? A Cross-Sectional Study of Australia’s Most Populous Cities.”</span> <em><span>BMC</span> Public Health</em> 14 (1): 292. <a href="https://doi.org/10.1186/1471-2458-14-292">https://doi.org/10.1186/1471-2458-14-292</a>.
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Barbosa, Olga, Jamie A. Tratalos, Paul R. Armsworth, Richard G. Davies, Richard A. Fuller, Pat Johnson, and Kevin J. Gaston. 2007. <span>“Who Benefits from Access to Green Space? <span>A</span> Case Study from <span>Sheffield</span>, <span>UK</span>.”</span> <em>Landscape and Urban Planning</em> 83 (2): 187–95. <a href="https://doi.org/10.1016/j.landurbplan.2007.04.004">https://doi.org/10.1016/j.landurbplan.2007.04.004</a>.
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Bivand, Roger. 2007. <span>“The Spdep Package: Comprehensive <span>R</span> Archive Network. <span>Version</span> 0.7-8.”</span> Comprehensive R Archive Network. <a href="http://ftp.uni-bayreuth.de/math/statlib/R/CRAN/doc/packages/spdep.pdf">http://ftp.uni-bayreuth.de/math/statlib/R/CRAN/doc/packages/spdep.pdf</a>.
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Brunsdon, Chris. 2008. <span>“Geographical Statistics and the Grid: Grid-Enabled Modelling of Local and Global Geographies.”</span>
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Chi, Guangqing, and Jun Zhu. 2008. <span>“Spatial Regression Models for Demographic Analysis.”</span> <em>Population Research and Policy Review</em> 27 (1): 17–42. <a href="https://doi.org/10.1007/s11113-007-9051-8">https://doi.org/10.1007/s11113-007-9051-8</a>.
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Choi, Junyoung, Myunghwa Hwang, Gayeon Kim, Janghwan Seong, and Jaeseong Ahn. 2016. <span>“Supporting the Measurement of the <span>United</span> <span>Nations</span>’ Sustainable Development Goal 11 Through the Use of National Urban Information Systems and Open Geospatial Technologies: A Case Study of South <span>Korea</span>.”</span> <em>Open Geospatial Data, Software and Standards</em> 1 (1): 4. <a href="https://doi.org/10.1186/s40965-016-0005-0">https://doi.org/10.1186/s40965-016-0005-0</a>.
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Comber, Alexis, Chris Brunsdon, and Edmund Green. 2008. <span>“Using a <span>GIS</span>-Based Network Analysis to Determine Urban Greenspace Accessibility for Different Ethnic and Religious Groups.”</span> <em>Landscape and Urban Planning</em> 86 (1): 103–14. <a href="https://doi.org/10.1016/j.landurbplan.2008.01.002">https://doi.org/10.1016/j.landurbplan.2008.01.002</a>.
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Dai, Dajun. 2011. <span>“Racial/Ethnic and Socioeconomic Disparities in Urban Green Space Accessibility: <span>Where</span> to Intervene?”</span> <em>Landscape and Urban Planning</em> 102 (4): 234–44. <a href="https://doi.org/10.1016/j.landurbplan.2011.05.002">https://doi.org/10.1016/j.landurbplan.2011.05.002</a>.
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Daoud, Jamal I. 2017. <span>“Multicollinearity and Regression Analysis.”</span> <em>Journal of Physics: Conference Series</em> 949 (December): 012009. <a href="https://doi.org/10.1088/1742-6596/949/1/012009">https://doi.org/10.1088/1742-6596/949/1/012009</a>.
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De Ridder, K., V. Adamec, A. Bañuelos, M. Bruse, M. Bürger, O. Damsgaard, J. Dufek, et al. 2004. <span>“An Integrated Methodology to Assess the Benefits of Urban Green Space.”</span> <em>Science of The Total Environment</em>, Highway and <span>Urban</span> <span>Pollution</span>, 334-335 (December): 489–97. <a href="https://doi.org/10.1016/j.scitotenv.2004.04.054">https://doi.org/10.1016/j.scitotenv.2004.04.054</a>.
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Douglas, Owen, Mick Lennon, and Mark Scott. 2017. <span>“Green Space Benefits for Health and Well-Being: <span>A</span> Life-Course Approach for Urban Planning, Design and Management.”</span> <em>Cities</em> 66 (June): 53–62. <a href="https://doi.org/10.1016/j.cities.2017.03.011">https://doi.org/10.1016/j.cities.2017.03.011</a>.
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Fabozzi, Frank J., Sergio M. Focardi, Svetlozar T. Rachev, and Bala G. Arshanapalli. 2014. <em>The <span>Basics</span> of <span>Financial</span> <span>Econometrics</span>: <span>Tools</span>, <span>Concepts</span>, and <span>Asset</span> <span>Management</span> <span>Applications</span></em>. John Wiley & Sons.
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Farrar, Donald E., and Robert R. Glauber. 1967. <span>“Multicollinearity in <span>Regression</span> <span>Analysis</span>: <span>The</span> <span>Problem</span> <span>Revisited</span>.”</span> <em>The Review of Economics and Statistics</em> 49 (1): 92–107. <a href="https://doi.org/10.2307/1937887">https://doi.org/10.2307/1937887</a>.
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