山地高密度城市热岛效应的多约束因子格局分析与定量探测——重庆都市区案例研究
汪洋, 杨丹, 闵婕, 翟非同, 王雨, 吴晓娇, 张洪睿

Spatial pattern analysis and quantitative detection of multi-factor influence for urban heat island effect in a mountainous city: A case study of Chongqing metropolitan circle
WANG Yang, YANG Dan, MIN Jie, ZHAI Feitong, WANG Yu, WU Xiaojiao, ZHANG Hongrui
表3 城市热岛交互探测结果
Tab. 3 Results of interactive detection
q(A),q(B) q(AB) q(A)+q(B) 判据 交互作用
q(X1)=0.499,q(X2)=0.782 q(X1X2)=0.797 q(X1)+q(X2)=1.281 Max(q(A),q(B))<q(AB) 双因子增强
q(X1)=0.499,q(X3)=0.093 q(X1X3)=0.596 q(X1)+q(X3)=0.592 q(A)+q(B)<q(AB) 非线性增强
q(X1)=0.499,q(X4)=0.496 q(X1X4)=0.531 q(X1)+q(X4)=0.995 Max(q(A),q(B))<q(AB) 双因子增强
q(X1)=0.499,q(X5)=0.495 q(X1X5)=0.526 q(X1)+q(X5)=0.994 Max(q(A),q(B))<q(AB) 双因子增强
q(X1)=0.499,q(X6)=0.490 q(X1X6)=0.524 q(X1)+q(X6)=0.989 Max(q(A),q(B))<q(AB) 双因子增强
q(X2)=0.782,q(X3)=0.093 q(X2X3)=0.796 q(X2)+q(X3)=0.875 Max(q(A),q(B))<q(AB)) 双因子增强
q(X2)=0.782,q(X4)=0.496 q(X2X4)=0.793 q(X2)+q(X4)=1.278 Max(q(A),q(B))<q(AB) 双因子增强
q(X2)=0.782,q(X5)=0.495 q(X2X5)=0.792 q(X2)+q(X5)=1.277 Max(q(A),q(B))<q(AB) 双因子增强
q(X2)=0.782,q(X6)=0.490 q(X2X6)=0.820 q(X2)+q(X6)=1.272 Max(q(A),q(B))<q(AB) 双因子增强
q(X3)=0.093,q(X4)=0.496 q(X3X4)=0.525 q(X3)+q(X4)=0.589 Max(q(A),q(B))<q(AB) 双因子增强
q(X3)=0.093,q(X5)=0.495 q(X3X5)=0.520 q(X3)+q(X5)=0.588 Max(q(A),q(B))<q(AB) 双因子增强
q(X3)=0.093,q(X6)=0.490 q(X3X6)=0.548 q(X3)+q(X6)=0.583 Max(q(A),q(B))<q(AB) 双因子增强
q(X4)=0.496,q(X5)=0.495 q(X4X5)=0.504 q(X4)+q(X5)=0.991 Max(q(A),q(B))<q(AB) 双因子增强
q(X4)=0.496,q(X6)=0.490 q(X4X6)=0.506 q(X4)+q(X6)=0.986 Max(q(A),q(B))<q(AB) 双因子增强
q(X5)=0.495,q(X6)=0.490 q(X5X6)=0.505 q(X5)+q(X6)=0.985 Max(q(A),q(B))<q(AB) 双因子增强