Table 1: Correlation Matrix of Variables 
popden percap medhome percoll 
NDVIbIk perurb surtemp 
popden 1.0000 -0.3008 0.0398  -0.0885 -0.4002 0.1964 0.4885 
percap -0.3008 1.0000 0.5907 0.7176 0.5637  -0.5302 -0.4537 
medhome 0.0398 0.5907 1.0000 0.5501 0.4284 -0.4605 -0.2899 
percoll -0.0885 0.7176 0.5501 1.0000 0.3065 -0.2996 -0.1227 
NDVIbIk -0.4002 0.5637 0.4284 0.3065 1.0000  -0.8498  -0.8838 
perurb 0.1964 -0.5302 -0.4605 -0.2996  -0.8498 1.0000 0.7747 
surtemp 0.4885 -0.4537 -0.2899 -0.1227 -0.8838 0.7747 1.0000 
Key: 
popden = population density, percap = per capita income, medhome = median home value, 
percoll = per cent of college graduates, BDVIblk = NDVI by block groups, perurb = per cent 
of urban use, surtemp = surface temperatures 
Table 2: Principal Component Analysis Loadings 
COMPONENT LOADINGS 
  
VARIABLES C1 C2 Communality 
popden -0.42881 0.50695 0.44 
percap 0.80670 0.36255 0.78 
medhome 0.64172 0.54280 0.71 
percoll 0.57380 0.66469 0.77 
NDVIbIk 0.90438 -0.28840 0.90 
perurb -0.85299 0.16968 0.76 
surtemp . -0.82029 0.48673 0.91 
Eigenvalue 3.7941 1.4738 
% variance 54.20 21.05 
434 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996