Table 3.
Ordinary least squares (OLS) regression, residual Moran’s I, Lagrange Multiplier, Spatial Error Model, and geographically weighted regression (GWR) results for four models with vulnerability measures as dependent variables.
Model Results | SES-Env | Elevation | Age Structure | Health |
---|---|---|---|---|
OLS R2 | 0.500 | 0.028 | 0.051 | 0.001 |
OLS β Slum Index | 1.307*** | 0.310*** | 0.419*** | −0.063 |
Residual Moran’s I | 0.164*** | 0.583*** | 0.143*** | 0.026*** |
Robust LM Lag | 33.701*** | 296.868*** | 0.406 | 0.259 |
Robust LM Error | 1694.804*** | 2181.474*** | 413.807*** | 0.008+ |
Error R2 | 0.586 | 0.685 | 0.183 | |
Error β Slum Index | 1.220*** | −0.092** | 0.415*** | |
Error β Lambda | 0.883*** | 0.992*** | 0.840*** | |
GWR R2 | 0.740 | 0.846 | 0.376 | 0.201 |
p<.001
p<.01
As the LM lag and error values were insignificant, spatial models were not performed.