Table 3. Models with attachment to neighborhood as an outcome.
(1) | (2) | (3) | (4) | |
Park density | Distance to park | Industrial density | Distance to industrial | |
0.181 | 0.106** | −0.659 | 0.026** | |
(0.91) | (3.62) | −(1.27) | (3.12) | |
(5) | (6) | (7) | (8) | (9) |
River fragments | River density | River length | River patches | Distance to river |
−0.014 | −0.266 | −1.916* | −0.127 | 0.043 |
−(0.60) | −(1.39) | −(2.03) | −(0.84) | (1.41) |
(10) | (11) | (12) | (13) | (14) |
Highway fragments | Highway density | Highway length | Highway patches | Distance to Highway |
−0.121* | −0.108 | −0.114 | −0.114 | 0.033 |
−(2.49) | −(1.06) | −(0.93) | −(0.82) | (0.90) |
p<.01(two-tail test),
p<.05 (two-tail test). T-values in parentheses. Multilevel models with clustering based on neighborhood.