From: Learning to cluster urban areas: two competitive approaches and an empirical validation
Territorial unit | BLOCK | INDIVIDUAL | N | p-value | 95% Conf. Interval |
---|---|---|---|---|---|
BLOCK VS INDIVIDUAL | 308 | 516 | 824 | 4.19E–13 | 0.34–0.40 |
BLOCK VS INDIVIDUAL / DMON | 167 | 256 | 423 | 1.75E–5 | 0.34–0.44 |
BLOCK VS INDIVIDUAL / GMM | 141 | 260 | 401 | 2.99E–9 | 0.30–0.40 |
BLOCK VS INDIVIDUAL / ALL | 87 | 116 | 203 | 0.05 | 0.35–0.49 |
BLOCK VS INDIVIDUAL / SOCIAL | 87 | 126 | 213 | 0.009 | 0.34–0.47 |
BLOCK VS INDIVIDUAL / LAND USE | 82 | 117 | 199 | 0.015 | 0.34–0.48 |
BLOCK VS INDIVIDUAL / VISUAL | 52 | 157 | 209 | 1.91E–13 | 0.19–0.31 |
BLOCK VS INDIVIDUAL / GLOBAL | 160 | 218 | 378 | 0.003 | 0.37–0.47 |
BLOCK VS INDIVIDUAL / LOCAL | 148 | 298 | 446 | 1.06E–12 | 0.28–0.37 |