Abstract
The racial/ethnic and income composition of neighborhoods often influences local amenities, including the potential spatial distribution of trees, which are important for population health and community wellbeing, particularly in urban areas. This ecological study used spatial analytical methods to assess the relationship between neighborhood socio-demographic characteristics (i.e. minority racial/ethnic composition and poverty) and tree density at the census tract level in Boston, Massachusetts (US). We examined spatial autocorrelation with the Global Moran’s I for all study variables and in the ordinary least squares (OLS) regression residuals as well as computed Spearman correlations non-adjusted and adjusted for spatial autocorrelation between socio-demographic characteristics and tree density. Next, we fit traditional regressions (i.e. OLS regression models) and spatial regressions (i.e. spatial simultaneous autoregressive models), as appropriate. We found significant positive spatial autocorrelation for all neighborhood socio-demographic characteristics (Global Moran’s I range from 0.24 to 0.86, all P=0.001), for tree density (Global Moran’s I=0.452, P=0.001), and in the OLS regression residuals (Global Moran’s I range from 0.32 to 0.38, all P<0.001). Therefore, we fit the spatial simultaneous autoregressive models. There was a negative correlation between neighborhood percent non-Hispanic Black and tree density (rS=−0.19; conventional P-value=0.016; spatially adjusted P-value=0.299) as well as a negative correlation between predominantly non-Hispanic Black (over 60% Black) neighborhoods and tree density (rS=−0.18; conventional P-value=0.019; spatially adjusted P-value=0.180). While the conventional OLS regression model found a marginally significant inverse relationship between Black neighborhoods and tree density, we found no statistically significant relationship between neighborhood socio-demographic composition and tree density in the spatial regression models. Methodologically, our study suggests the need to take into account spatial autocorrelation as findings/conclusions can change when the spatial autocorrelation is ignored. Substantively, our findings suggest no need for policy intervention vis-à-vis trees in Boston, though we hasten to add that replication studies, and more nuanced data on tree quality, age and diversity are needed.
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Akaike, H. (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19(6): 716–723.
Anselin, L., Bera, A.K., Florax, R., and Yoon, M.J. (1996). Simple Diagnostic Tests for Spatial Dependence. Regional Science and Urban Economics 26(1):77–104.
Anselin, L. and Bera, A.K. (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics. In: Ullah, A. and Giles, D.E.A. (eds). Handbook of Applied Economic Statistics. New York: Marcel Dekker: 237–289.
Anselin, L. (1988a). Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical Analysis 20(1): 1–17.
Anselin, L. Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers, 1988b.
Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis 27(2), 93–115.
Anselin L and Lozano-Gracia N. (2008) “Errors in variables and spatial effects in hedonic house price models of ambient air quality” Empirical Economics, 34, 5–34.
Arbia, G. (1989) Spatial data configuration in the statistical analysis of regional economics and related problems, Kluwer, Dordrecht.
Bailey, T. C. and Gatrell, A. C. (1995). Interactive Spatial Data Analysis. Harlow Essex, England: Longman Scientific &Technical; J Wiley.
Basu, R., & Samet, J. M. (2002). Relation Between Elevated Ambient Temperature and Mortality: A Review of the Epidemiologic Evidence. Epidemiologic Reviews, 24(2), 190–202.
Bedimo-Rung, A. L., Mowen, A. J., & Cohen, D. A. (2005). The significance of parks to physical activity and public health: A conceptual model. American Journal of Preventive Medicine, 28 (2, Supplement 2), 159–168.
Bivand, R.S., Pebesma, E.J., and Gómez-Rubio, V. (2008). Applied Spatial Data Analysis with R. New York, NY: Springer.
Bivand, R. (2011). Spdep: Spatial dependence: weighting schemes, statistics and models. [electronic resource]. http://cran.r-project.org/web/packages/spdep/index.html
Block, J.P., Scribner, R.A., and DeSalvo, K.B. (2004). Fast food, race/ethnicity, and income: a geographic analysis. American Journal of Preventive Medicine 27(3): 211–7.
Boston Redevelopment Authority Research Division (2011). 2010 U.S. Census, Summary File 1.
Brewer, C., and Harrower, M. (2012). Color Brewer 2.0. [electronic resource]. http://www.colorbrewer2.org
Breusch T.S. & A.R. Pagan (1979), A Simple Test for Heteroscedasticity and Random Coefficient Variation. Econometrica 47, 1287–1294.
Brown University, Center for Environmental Studies. (2010.) “Trees and the Urban Health Island Effect: A Case Study for Providence Rhode Island”.
Chen, J.T., Rehkopf, D.H., Waterman, P.D., Subramanian, S.V., Coull, B.A., Cohen, B., Ostrem, M., and Krieger, N. (2006). Mapping and measuring social disparities in premature mortality: the impact of census tract poverty within and across Boston neighborhoods, 1999–2001. Journal of Urban Health 83(6): 1063–84.
City of Boston (2012). Boston: A City of Neighborhoods. Retrieved from http://www.cityofboston.gov/neighborhoods/default.asp.
City of Boston. Parks and Recreation Department (2002). Open Space Plan 2002–2006.
Cliff, A.D., and J.K. Ord. (1981) Spatial processes: models and applications, Taylor &Francis.
Clifford, P. and Richardson, S. (1985). Testing the association between two spatial processes. Statistics and Decisions 2(Supp. issue): 155–160.
Conway, T. M., Shakeel, T., & Atallah, J. (2011). Community groups and urban forestry activity: Drivers of uneven canopy cover? Landscape and Urban Planning, 101(4), 321–329.
Corti, B., Donovan, R. and Holman, C. (1996). “Factors influencing the Use of Physical Activity Facilities: Results From Qualitative Research.” Health Promotion Journal Australia, 6: 16–21.
Cradock, A.L., Kawachi, I., Colditz, G.A., Hannon, C., Melly, S.J., Wiecha, J.L., and Gortmaker, S.L. (2005). Playground safety and access in Boston neighborhoods. American Journal of Preventive Medicine 28(4): 357–63.
Cressie, N. (1993). Statistics for Spatial Data, Wiley, NY.
Crawford, D., Timperio, A., Giles-Corti, B., Ball, K., Hume, C., Roberts, R., Andrianopoulos, N., et al. (2008). Do features of public open spaces vary according to neighbourhood socio-economic status? Health &Place, 14(4), 889–893.
Donovan, G. H., & Butry, D. T. (2010). Trees in the city: Valuing street trees in Portland, Oregon. Landscape and Urban Planning, 94(2), 77–83.
Donovan, G.H., Michael, Y.L., Butry, D.T., Sullivan, A.D., Chase, J.M. (2011). Urban trees and the risk of poor birth outcomes. Health &Place. Jan; 17(1):390–3.
Duncan, D.T., Aldstadt, J., Whalen, J., White, K., Castro, M.C., Williams, D.R. (2012). Space, Race and Poverty: Spatial Inequalities in Walkable Neighborhood Amenities? Demographic Research. 26(17): 409–448.
Duncan, O. D. and Duncan, B., (1955). A methodological analysis of segregation indexes. American Sociological Review, Vol. 20, 210–217.
Dwyer, J. F., E. G. McPherson, H. W. Schroeder, and R. A. Rowntree. (1992). Assessing the benefits and costs of the urban forest. Journal of Arboriculture 18:227–227.
Escobedo, F. J., Nowak, D. J., Wagner, J. E., De la Maza, C. L., Rodríguez, M., Crane, D. E., & Hernández, J. (2006). The socioeconomics and management of Santiago de Chile’s public urban forests. Urban Forestry &Urban Greening, 4(3–4), 105–114.
Farrell, C.R. and Lee, B.A. (2011). “Racial Diversity and Change in Metropolitan Neighborhoods.” Social Science Research 40 (July): 1108–23.
Fang, C.-F., & Ling, D.-L. (2005). Guidance for noise reduction provided by tree belts. Landscape and Urban Planning, 71(1), 29–34.
Fix, M. and Struyk, R.J. (1993). Clear and convincing evidence: Measurement of discrimination in America. Washington: Urban Institute Press.
Flocks, J., Escobedo, F., Wade, J., Varela, S., & Wald, C. (2011). Environmental Justice Implications of Urban Tree Cover in Miami-Dade County, Florida. Environmental Justice, 4(2), 125–134.
Florax JGMR, Folmer H, Rey SJ. 2003. “Specification searches in spatial econometrics: the relevance of Hendry’s methodology,” Regional Science and Urban Economics, 33(5): 557–579.
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., et al. (2005). Global consequences of land use. Science, 309(5734), 570–574.
Franco, M., Diez Roux, A.V., Glass, T.A., Caballero, B., and Brancati, F.L. (2008). Neighborhood characteristics and availability of healthy foods in Baltimore. American Journal of Preventive Medicine 35(6): 561–7.
Franzini L, Taylor W, Elliott MN, Cuccaro P, Tortolero SR, Janice Gilliland M, Grunbaum J, Schuster MA. Neighborhood characteristics favorable to outdoor physical activity: disparities by socioeconomic and racial/ethnic composition. Health &Place. 2010 Mar; 16(2):267–74.
Galster, GC. The Ecology of Racial Discrimination in Housing: An Exploratory Model. Urban Affairs Quarterly, v 23 n1 p84–107 Sep 1987.
Galster G. On the nature of neighborhoods. Urban Studies. 2001; 38(12):2111–2124.
Georgi, N. J., & Zafiriadis, K. (2006). The impact of park trees on microclimate in urban areas. Urban Ecosystems, 9(3), 195–209.
Gidlöf-Gunnarsson, A., & Öhrström, E. (2007). Noise and well-being in urban residential environments: The potential role of perceived availability to nearby green areas. Landscape and Urban Planning, 83(2–3), 115–126.
Grove, J. M., Troy, A. R., O’Neil-Dunne, J. P. M., Burch, W. R., Cadenasso, M. L., & Pickett, S. T. A. (2006). Characterization of households and its implications for the vegetation of urban ecosystems. Ecosystems, 9(4), 578–597.
Haining, R. (1991). Bivariate correlation with spatial data. Geographical Analysis 23(3): 210–227.
Heisler, G. M., & Grant, R. H. (2000). Ultraviolet radiation in urban ecosystems with consideration of effects on human health. Urban Ecosystems, 4(3), 193–229.
Heynen, N., Perkins, H. A., & Roy, P. (2006). The Political Ecology of Uneven Urban Green Space The Impact of Political Economy on Race and Ethnicity in Producing Environmental Inequality in Milwaukee. Urban Affairs Review, 42(1), 3–25.
Iverson, L. R., & Cook, E. A. (2000). Urban forest cover of the Chicago region and its relation to household density and income. Urban Ecosystems, 4(2), 105–124.
Iceland, J., Weinberg, D. H., and Steinmetz E.. 2002). Racial and Ethnic Residential Segregation in the United States: 1980–2000. Washington, DC: Government Printing Office. http://www.census.gov/hhes/www/housing/housing_patterns/pdf/censr-3.pdf
Jenerette, G. D., Harlan, S. L., Brazel, A., Jones, N., Larsen, L., & Stefanov, W. L. (2007). Regional relationships between surface temperature, vegetation, and human settlement in a rapidly urbanizing ecosystem. Landscape Ecology, 22(3), 353–365.
Jenks GF: The Data Model Concept in Statistical Mapping. International Yearbook of Cartography 1967, 7: 186–190.
Jensen, R., Gatrell, J., Boulton, J., & Harper, B. (2004). Using remote sensing and geographic information systems to study urban quality of life and urban forest amenities. Ecology and Society, 9(5), 5.
Kaplan, S., & Kaplan, R. (2003). Health, Supportive Environments, and the Reasonable Person Model. American Journal of Public Health, 93(9), 1484–1489.
Kendal, D., Williams, N. S. G., & Williams, K. J. H. (2012). Drivers of diversity and tree cover in gardens, parks and streetscapes in an Australian city. Urban Forestry &Urban Greening, 11(3), 257–265.
Kirkpatrick, J. B., Daniels, G. D., & Davison, A. (2011). Temporal and spatial variation in garden and street trees in six eastern Australian cities. Landscape and Urban Planning, 101(3), 244–252.
Kelejian, H.H. and Prucha, I.R. (1998) A Generalized Spatial Two Stage Least Square Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances. Journal of Real Estate Finance and Economics, 17, pages 99–121.
Kelejian, H.H., Prucha, I.R. (2007). “HAC Estimation in a Spatial Framework.” Journal of Econometrics, 140, 131–154.
Kelly CM, Schootman M, Baker EA, Barnidge EK, Lemes A. The association of sidewalk walkability and physical disorder with area-level race and poverty. Journal of Epidemiology and Community Health. 2007 Nov; 61(11):978–83.
Krieger, N., Chen, J.T., Waterman, P.D., Rehkopf, D.H., and Subramanian, S.V. (2003). Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures—the Public Health Disparities Geocoding Project. American Journal of Public Health 93(10): 1655–1671.
Krieger, N., Chen, J.T., Waterman, P.D., Soobader, M.J., Subramanian, S.V., and Carson, R. (2002). Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project. American Journal of Epidemiology 156(5): 471–482.
Kuo, F. E. (2003). The role of arboriculture in a healthy social ecology. Journal of Arboriculture, 29(3), 148–155.
Kuo, F.E., W.C. Sullivan, R.L. Coley, and L. Brunson. “Fertile ground for community: inner-city neighborhood common spaces.” American Journal of Community Psychology 26 (1998):823–851.
Kuo, F.E., and W.C. Sullivan. “Environment and crime in the inner city: does vegetation reduce crime?” Environment and Behavior 333 (2001):343–367.
Landry, S. M., & Chakraborty, J. (2009). Street trees and equity: evaluating the spatial distribution of an urban amenity. Environment and Planning A, 41(11), 2651–2670.
LeSage, J. and Pace, K.R. (2009). Introduction to Spatial Econometrics. Boca Raton, FL: CRC Press.
LeSage, J.P. and Pace, K.R. (2010). The Biggest Myth in Spatial Econometrics. Available at SSRN: http://ssrn.com/abstract=1725503
Li, W., Land, T., Zhang, Z., Keithly, L., and Kelsey, J.L. (2009a). Small-area estimation and prioritizing communities for tobacco control efforts in Massachusetts. American Journal of Public Health 99(3): 470–9.
Li, W., Kelsey, J.L., Zhang, Z., Lemon, S.C., Mezgebu, S., Boddie-Willis, C., and Reed, G.W. (2009b). Small-area estimation and prioritizing communities for obesity control in Massachusetts. American Journal of Public Health 99(3): 511–9.
Lichter, D.T., Patisi, D., Grice, S.M., Taquino, M. Municipal underbounding: Annexation and racial exclusion in small southern towns. Rural Sociology 2007; 72(1):47–68.
Logan, J.R. and Stults, B. (2011). The Persistence of Segregation in the Metropolis: New Findings from the 2010 Census. Census Brief prepared for Project US2010. http://www.s4.brown.edu/us2010.
Loukaitou-Sideris A, Stieglitz O: Children in Los Angeles parks: a study of equity, quality and children’s satisfaction with neighbourhood parks. The Town Planning Review 2002, 73(4):467–488.
Lovasi, G.S., Quinn, J.W., Neckerman, K.M., Perzanowski, M.S., Rundle, A. Children living in areaswith more street trees have lower prevalence of asthma. Journal of Epidemiology and Community Health 2008 Jul;62(7):647–9.
Luck, G. W., Smallbone, L. T., & O’Brien, R. (2009). Socio-economics and vegetation change in urban ecosystems: patterns in space and time. Ecosystems, 12(4), 604–620.
Marsh, B., Parnell, A.M., Joyner, A.M. Institutionalization of racial inequality in local political geographies. Urban Geography 2010; 31(5):691–709.
Massey, D. S. and Denton, N. A. (1993). American Apartheid: Segregation and the Making of the Underclass. Cambridge, MA: Harvard University Press.
Matthews, S.A. Spatial polygamy and the heterogeneity of place: Studying people and place via egocentric methods. In: Burton, L.M., Kemp, S.P., Leung, M., Matthews, S.A., Takeuchi, D.T., eds. Communities, Neighborhoods and Health: Expanding the Boundaries of Place. New York: Springer; 2011:35–55.
Moran, P.A.P. (1950). Notes on continuous stochastic phenomena, Biometrika 37, pp 17–23.
Morenoff, J.D., House, J.S., Hansen, B.B., Williams, D.R., Kaplan, G.A., Hunte, H.E. (2007). Understanding social disparities in hypertension prevalence, awareness, treatment, and control: the role of neighborhood context. Social Science &Medicine. 65(9):1853–66.
Moore, L.V. and Diez Roux, A.V. (2006). Associations of neighborhood characteristics with the location and type of food stores. American Journal of Public Health 96(2): 325–331.
Moore, L.V., Diez Roux, A.V., Evenson, K.R., McGinn, A.P., and Brines, S.J. (2008). Availability of recreational resources in minority and low socioeconomic status areas. American Journal of Preventive Medicine 34(1): 16–22.
Neckerman, K. M., Lovasi, G. S., Davies, S., Purciel, M., Quinn, J., Feder, E., Raghunath, N., et al. (2009). Disparities in Urban Neighborhood Conditions: Evidence from GIS Measures and Field Observation in New York City. Journal of Public Health Policy, 30, S264–S285.
Nowak, D. J., Crane, D. E. & Dwyer, J. F. (2002). Compensatory value of urban trees in the United States. Journal of Arboriculture 28, 194–199
Nowak, D. J., Crane, D. E. & Stevens, J. C. (2006). Air pollution removal by urban trees and shrubs in the United States. Urban Forestry &Urban Greening 4, 115–123.
Oka, M. (2011). The Influence of Urban Street Characteristics on Pedestrian Heat Comfort Levels in Philadelphia. Transactions in GIS, 15(1), 109–123.
Openshaw, S. and Taylor, P. (1979). A million or so correlation coefficients: three experiments on the modifiable area unit problem. In: Wrigley, N. (ed.). Statistical Applications in the Spatial Sciences. London, UK: Pion Ltd: 127–144.
Ord, K. (1975). “Estimation Methods for Models of Spatial Interaction.” Journal of the Statistical Association, 70:120–126.
O’Sullivan, D. (2009). Changing Neighborhoods–Neighborhoods Changing: A Framework for Spatially Explicit Agent-Based Models of Social Systems. Sociological Methods &Research Volume 37 Number 4, pp 498–530.
Osypuk, T., Galea, S. What Level Macro? Choosing Appropriate Levels to Assess the Relation Between Space and Population Health. In: Macrosocial Determinants of Population Health S. Galea (ed.). 2007. New York, NY: Springer Media: 399–436.
Pace, K. and LeSage, J.P. (2008). A Spatial Hausman Test. Economic Letters 101(3): 282–284.
Payton, S., Lindsey, G., Wilson, J., Ottensmann, J. R., & Man, J. (2008). Valuing the benefits of the urban forest: a spatial hedonic approach. Journal of Environmental Planning &Management, 51(6), 717–736.
Pedlowski, M. A., Da Silva, V. A. C., Adell, J. J. C., & Heynen, N. C. (2002). Urban forest and environmental inequality in Campos dos Goytacazes, Rio de Janeiro, Brazil. Urban Ecosystems, 6(1), 9–20.
Perkins, H. A., Heynen, N., & Wilson, J. (2004). Inequitable access to urban reforestation: the impact of urban political economy on housing tenure and urban forests. Cities, 21(4), 291–299.
Pickett, S. T. A., Cadenasso, M. L., Grove, J. M., Groffman, P. M., Band, L. E., Boone, C. G., Burch, W. R. Jr, et al. (2008). Beyond urban legends: an emerging framework of urban ecology, as illustrated by the Baltimore Ecosystem Study. BioScience, 58(2), 139–150.
Piras, G. sphet: Spatial Models with Heteroskedastic Innovations in R. Journal of Statistical Software. 2010; 35(1): 1–21. URL: http://www.jstatsoft.org/v35/i01/.
R Core Team (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
Reibel, M. (2000). Geographic Variation in Mortgage Discrimination: Evidence from Los Angeles. Urban Geography 21(1), 45–60.
Reynolds, H. and Amrhein, C. (1997). Using a spatial data set generator in an empirical analysis of aggregation effects on univariate statistics. Geographical and Environmental Modelling 1: 199–220.
Rothwell, J. T. (2011). Racial Enclaves and Density Zoning: The Institutionalized Segregation of Racial Minorities in the United States. American Law and Economics Review 13(1): 290–358.
Russell, J. (2007). A plan takes root: City to plant more than 100,000 trees. The Boston Globe. Available at: http://www.boston.com/news/local/articles/2007/04/28/a_plan_takes_root_city_to_plant_more_than_100000_trees/
Sampson, R.J., Raudenbush S., Earls, F. 1997. “Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy.” Science 277: 918–24.
Sampson, R. J., Sharkey, P. and Raudenbush, S. W. (2008). “Durable Effects of Concentrated Disadvantage on Verbal Ability Among African-American Children.” Proceedings of the National Academy of Sciences 105: 845–852.
Sarajevs, V. (2011). “Health Benefits of Street Trees”. The Research Agency of the Forestry Commission.
Schabenberger, O. and Gotway, C. 2008. Statistical Methods for Spatial Data Analysis, Chapman &Hall/CRC.
Simpson, J. R. (2002). Improved estimates of tree-shade effects on residential energy use. Energy and Buildings, 34(10), 1067–1076.
Smiley, M.J., Diez Roux, A.V., Brines, S.J., Brown, D.G., Evenson, K.R., Rodriguez, D.A. (2010). A spatial analysis of health-related resources in three diverse metropolitan areas. Health &Place. Sep;16(5):885–92.
Srinivasan, S., O’Fallon, L. R., & Dearry, A. (2003). Creating Healthy Communities, Healthy Homes, Healthy People: Initiating a Research Agenda on the Built Environment and Public Health. American Journal of Public Health, 93(9), 1446–1450.
Student. (1914). The elimination of spurious correlation due to position in time or space. Biometrika 10(1): 179–180.
Subramanian, S.V., Chen, J.T., Rehkopf, D.H., Waterman, P.D., and Krieger, N. (2005). Racial disparities in context: a multilevel analysis of neighborhood variations in poverty and excess mortality among black populations in Massachusetts. American Journal of Public Health 95(2): 260–5.
Subramanian, S.V., Chen, J.T., Rehkopf, D.H., Waterman, P.D., and Krieger, N. (2006). Comparing individual- and area-based socioeconomic measures for the surveillance of health disparities: A multilevel analysis of Massachusetts births, 1989–1991. American Journal of Epidemiology 164(9): 823–34.
Sullivan, W.C., Kuo, F.E., and Depooter, S.F. (2004). The Fruit of Urban Nature: Vital Neighborhood Spaces. Environment and Behavior, 36(5): 678–700.
Szantoi, Z., Escobedo, F., Wagner, J., Rodriguez, J., & Smith, S. (2012). Socioeconomic Factors and Urban Tree Cover Policies in a Subtropical Urban Forest. GIScience &Remote Sensing, 49(3), 428–449.
Talarchek, G.M. (1990). “The urban forest of New Orleans–an exploratory analysis of relationships.” Urban Geography 11:65–86.
Taylor A. F. Wiley A, Kuo F. E. Sullivan W. C. (1998). “Growing up in the inner city: Green spaces as places to grow.” Environment and Behavior 30, no. 13–27.
Tobler, W.R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography. 46(2): 234–240.
Tooke, T. R., Klinkenber, B., & Coops, N. C. (2010). A geographical approach to identifying vegetation-related environmental equity in Canadian cities. Environment and Planning. B, Planning &Design, 37(6), 1040.
Troy, A. R., Grove, J. M., O’Neil-Dunne, J. P. M., Pickett, S. T. A., & Cadenasso, M. L. (2007). Predicting opportunities for greening and patterns of vegetation on private urban lands. Environmental Management, 40(3), 394–412.
Tyrväinen, L., Pauleit, S., Seeland, K., & de Vries, S. (2005). Benefits and uses of urban forests and trees. Urban forests and trees. Springer-Verlag, Berlin Heidelberg, 81–114.
Urban Ecology Institute (2008). State of the urban forest: a summary of the extent and condition of Boston’s urban forest.
U.S. Census Bureau (2012). Decennial Management Division Glossary [electronic resource]. http://www.census.gov/dmd/www/glossary.html
Uuttera, J., Haara, A., Tokola, T., Maltamo, M. (1998). Determination of the spatial distribution of trees from digital aerial photographs. Forest Ecology and Management. Volume 110, Issues 1–3: 275–282
Velarde, M.D., Fry, G., Tveit, M.S. (2007). Health effects of viewing landscapes: landscape types in Environmental Psychology. Urban Forestry &Urban Greening 6:199–212.
Waller, L.A. and Gotway, C.A. (2004). Applied Spatial Statistics for Public Health Data. Hoboken NJ: Wiley-Interscience.
Ward, M.D. and Gleditsch, K.S. (2008). Spatial Regression Models. Thousand Oaks, CA: Sage Publications, Inc.
Welch, J. M. (1994). Street and park trees of Boston: a comparison of urban forest structure. Landscape and Urban Planning, 29(2–3), 131–143.
Wolch, J., Wilson, J., & Fehrenbach, J. (2005). Parks and Park Funding in Los Angeles: An Equity-Mapping Analysis. Urban Geography, 26(1), 4–35.
Wolf, K. L. (2003). Public Response to the Urban Forest in Inner-City Business Districts. Journal of Arboriculture, 29(3), 117–126.
Wolf, K. L. (2005). Business district streetscapes, trees, and consumer response. Journal of Forestry, 103(8), 396–400.
Wong, D. (2009). The Modifiable Areal Unit Problem (MAUP). In: Fotheringham, A.S. and Rogerson, P.A. (eds.). The SAGE Handbook of Spatial Analysis. London: SAGE Publications: 105–124.
Zhao, M., Escobedo, F. J., & Staudhammer, C. (2010). Spatial patterns of a subtropical, coastal urban forest: Implications for land tenure, hurricanes, and invasives. Urban Forestry &Urban Greening, 9(3).
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Duncan, D.T., Kawachi, I., Kum, S. et al. A Spatially Explicit Approach to the Study of Socio- Demographic Inequality in the Spatial Distribution of Trees across Boston Neighborhoods. Spatial demogr. 2, 1–29 (2014). https://doi.org/10.1007/BF03354902
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DOI: https://doi.org/10.1007/BF03354902