Journal of Geographical Sciences

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Does supply match demand? Assessing the relationship between thermal comfort and greenspace exposure in Nanjing, China

WU Yan, PENG Qi, YANG Yingbao, MENG Xiangjin, HE Wen, LI Chen, SU Weizhong

地理学报(英文版), 2025, 35(12): 2685-2707. DOI: 10.1007/s11442-025-2431-3

Figure 9 (a)-(c) Spatial distribution of quadrant types on the workday; (d)-(f) Spatial distribution of quadrant types on the non-workday; (g) Proportion of quadrant types in UFZs on the workday (%); (h) Proportion of quadrant types in UFZs on the non-workday (%)

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Figure 1 (a) Location of the study area; (b) Urban functional zones and (c) Greenspace in the study area
Figure 2 Data collection and processing
Figure 3 Modeling framework of our study
Table 1 Classification of MTHI levels
Figure 4 Relationship between GE and MTHI in the four-quadrant model
Figure 5 (a) Spatial distribution of LST; (b) Spatial distribution of LST among UFZs; (c) Boxplot of landscape metrics of LST among UFZs; (d) Spatial distribution of MTHI; (d) Spatial distribution of WTHI among UFZs; (f) The proportion of MTHI categories among UFZs Note: The blank part in (b) and (e) represents the mountains and lakes.
Figure 6 (a) Spatial distribution of GC; (b) The proportion of GC categories; (c) The proportion of GC categories among UFZs
Table 2 Average greenspace exposure values at different time periods
Figure 7 (a)-(c) Spatial distribution and proportion of GE at various periods on the workday; (d)-(f) Spatial distribution and proportion of GE at various periods on the non-workday
Figure 8 (a) Regression coefficients on the workday and its R; (b) Regression coefficients on the non-workday and its R
Table 3 Summary of the relationship between greenspace and thermal environment
Figure 10 Typical samples among different UFZs in matching patterns

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