Skip to main content

Table 6 Linear and multiple stepwise regression functions and Pearson correlation (r) coefficients between landscape metrics of green space and LST

From: Quantifying how urban landscape heterogeneity affects land surface temperature at multiple scales

Scale Equation r R2 P value
Sub-region LST = 41.44–0.14 PLAND − 0.42 17.9% 0.05
LST = 40.70–0.001 NP − 0.30 9.3% 0.16
LST = 42.30–0.16 PD − 0.47 22.3% 0.02
LST = 41.77–0.02 ED − 0.47 22.7% 0.02
LST = 57.24–12.10 PAFRAC − 0.16 14.6% 0.07
LST = 40.62–0.02 TE − 0.33 11.1% 0.01
LST = 41.13–0.03 LSI − 0.24 5.9% 0.27
LST = 39.67 + 0.042 SPLIT 0.33 11.5% 0.12
LST = 47.127–0.0317 ED 22.7% 0.02
1000m LST = 45.95–0.06084 PLAND − 0.19 3.6% 0.04
LST = 46.69–0.03922 NP − 0.34 12% 0.00
LST = 46.72–0.1246 PD − 0.34 12.1% 0.00
LST = 46.23–0.000050 TE − 0.26 7.2% 0.00
LST= 46.25–0.01583 ED − 0.27 7.3% 0.00
LST = 47.43–0.2533 LSI − 0.34 11.9% 0.00
LST= 46.21–0.678 PAFRAC − 0.03 0.1% 0.70
LST = 45.46 + 0.000000 SPLIT 0.24 6.1% 0.00
LST = 46.227–0.0901 PD 7.11% 0.08