Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches

Table 5

Component matrix from the PCA method.

Indicators	Component
	1	2	3
Education less than high school	0.895	−0.257	−0.024
Income	−0.862	0.411	0.07
Unhealthy seniors	0.815	0.251	−0.401
Elderly living alone	0.747	0.325	−0.365
Illiteracy	0.714	−0.531	0.054
Elderly (65+)	0.346	0.788	−0.137
Cooling facilities	−0.156	0.60	−0.448
Lack of green space	0.373	0.39	0.762
LST	0.47	0.404	0.713

Note: the bold numbers indicate that each component is characterized by indicators with a correlation of magnitude 0.6 or higher with the corresponding component. For example, Component 1 = a ∗ education + b ∗ income + c ∗ unhealthy seniors + d ∗ elderly living along + e ∗ illiteracy.