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. Author manuscript; available in PMC: 2018 Jan 17.
Published in final edited form as: Spat Demogr. 2015 May 14;2(1):1–29. doi: 10.1007/BF03354902

Table 5.

Spatial Lag Model Maximum Likelihood Estimation of the Relationship Between Neighborhood Socio-Demographic Characteristics and Log of Tree Density

Bivariate Estimation Bivariate Estimation
Coefficient (SE) P-value AIC Coefficient (SE) P-value AIC
Percent non-Hispanic Black −0.001 (0.001) 0.438 220.68 Predominantly non-Hispanic Black −0.084 (0.105) 0.421 220.63
Percent Hispanic 0.002 (0.002) 0.364 220.46 Predominantly Hispanic 0.111 (0.199) 0.577 220.96
Percent Families in Poverty 0.002 (0.002) 0.347 220.39 Predominantly Families in Poverty 0.059 (0.074) 0.420 220.62
Multivariate Estimation Multivariate Estimation
Coefficient (SE) P-value AIC Coefficient (SE) P-value AIC
Percent non-Hispanic Black −0.002 (0.002) 0.311 225.52 Predominantly non-Hispanic Black −0.088 (0.108) 0.416 226.15
Percent Hispanic 0.002 (0.003) 0.536 Predominantly Hispanic 0.095 (0.201) 0.638
Percent Families in Poverty 0.003 (0.003) 0.325 Predominantly Families in Poverty 0.079 (0.076) 0.302
~

p < 0.10;

*

p < 0.05 (bold);

**

p < 0.01 (bold)

Multivariate models are controlled for population density, open space density and the other neighborhood socio-demographic characteristics.