Fig 1.
Overview of our workflow.
Fig 2.
(a) China; (b) Xizang; (c) Lasa; (d) Study Area; (e) Satellite Map.
Fig 3.
Study area Tibetan Buddhist elements of the real scene map.
Table 1.
Tibetan Buddhism perception scale.
Fig 4.
Overview of image semantic segmentation using SegNet trained on Cityscapes dataset.
(a) Input urban natural image; (b) architecture of SegNet; (c) output image with a segmentation mask.
Table 2.
Descriptive statistics of 6 types of Points of Interest (POIs).
Table 3.
Summary statistics for all variables of Tibetan Buddhist perception.
Fig 5.
Spatial distribution characteristics of Tibetan Buddhist perception scores.
Fig 6.
Tibetan Buddhism perception local autocorrelation spatial distribution map.
Table 4.
OLS diagnostics of stress.
Table 5.
Results of regression models for GS exposure.