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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