Fig. 5. Map displaying the slope (colour scale) and adjusted R2 (size scale) for the linear regression of green infrastructure variables on per capita income. A separate linear model was performed for each municipal district (see Fig. 1), and points reflect the municipality centroids. The reader can interpret these values as the slope and fit of the linear trend lines plotted in Fig. 3 except here they are stratified by district municipality and not race.
posted on 2021-04-14, 09:17authored byZander S Venter, Charlie M. Shackleton, Francini Van Staden, Odirile SebogoeOdirile Sebogoe, Vanessa A Masterson
Urban green infrastructure provides ecosystem
services that are essential to human wellbeing. A dearth of national-scale
assessments in the Global South has precluded the ability to explore how
political regimes, such as the forced racial segregation in South Africa during
and after Apartheid, have influenced the extent of and access to green infrastructure
over time. We investigate whether there are disparities in green infrastructure
distributions across race and income geographies in urban South Africa. Using
open-source satellite imagery and geographic information, along with national
census statistics, we find that public and private green infrastructure is more
abundant, accessible, greener and more treed in high-income relative to
low-income areas, and in areas where previously advantaged racial groups (i.e.
White citizens) reside.