ABSTRACT
Gelugpa is the most influential extant religious sect of Tibetan Buddhism, which is the spiritual prop for Tibetans, with thousands of monasteries and followers in Tibetan areas of China. Studies on the spatial diffusion processes of Gelugpa can not only reveal its historical geographical development but also lay the foundation for anticipating its future development trend. However, existing studies on Gelugpa lack geographical perspective, making it difficult to explore the spatial characteristics. Furthermore, the prevailing macro-perspective overlooks spatiotemporal heterogeneity in diffusion processes. Therefore, taking monastery as the carrier, this study establishes a multi-level diffusion model to reconstruct the diffusion networks of Gelugpa monasteries, as well as a framework to explore the detailed features in the spatial diffusion processes of Gelugpa in Tibetan areas of China based on a geodatabase of Gelugpa monastery. The results show that the multi-level diffusion model has a considerable applicability in the reconstruction of the diffusion networks of Gelugpa monasteries. Gelugpa monasteries in the Three Tibetan Inhabited Areas present disparate spatial diffusion processes with diverse diffusion bases, speeds, stages, as well as diffusion regions and centers. A powerful single-center diffusion-centered Gandan Monastery was rapidly formed in U-Tsang. Kham experienced a slower and more varied spatial diffusion process with multiple diffusion systems far apart from each other. The spatial diffusion process of Amdo was the most complex, with the highest diffusion intensity. Amdo possessed the most influential diffusion centers, with different diffusion shapes and diffusion ranges crossing and overlapping with each other. Multiple natural and human factors may contribute to the formation of Gelugpa monasteries. This study contributes to the understanding of the geography of Gelugpa and provides reference to studies on religion diffusion.
Data availability statement
The data that support the findings of this study are involved in religious issues and are available on reasonable request from the corresponding author.
Disclosure statement
No potential conflict of interest was reported by the author(s).
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Notes on contributors
Zihao Chao
Zihao Chao is a PhD candidate in the School of Geography, South China Normal University. His research interests include spatial statistics, spatial-temporal analysis, and GIS, with a special interest in spatialized Tibetology.
Yaolong Zhao
Yaolong Zhao is a professor in the School of Geography, South China Normal University. His research interests include geographic information science and technology, spatially integrated humanities and social sciences.
Subin Fang
Subin Fang is a master’s student in the School of Geography, South China Normal University. Her research interest is spatial-temporal analysis.
Danying Chen
Danying Chen is a master’s student in the School of Geography, South China Normal University. Her research interest is spatial-temporal analysis.