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Article type: Research Article
Authors: Wang, Juana; * | Ming, Qingzhongb | Qin, Wenc
Affiliations: [a] College of Culture and Tourism, Jiangsu University of Technology, Changzhou, Jiangsu, China | [b] Institute of Tourism Culture Research, Yunnan University of Finance and Economics, Kunming, Yunnan, China | [c] Center for Atmospheric Environment and Climate Change Research, Guangxi Scientific Research Academy of Guangxi Environmental Protection, Nanning, Guangxi, China
Correspondence: [*] Corresponding author: Juan Wang, College of Culture and Tourism, Jiangsu University of Technology, Changzhou, Jiangsu, China. E-mail: [email protected].
Abstract: Mountain is the most traditional tourism destination in China. On the basis of analyzing the particularity and its spatial differentiation of human-environment relationship in mountain tourism destination, this paper conducts empirical analysis in Yulong Snow Mountain by land use type classification. Firstly, ENVI is used to preprocess the Landsat-8 images of the research area. Then the visual interpretation is performed by ArcGIS to classify land use types. Based on the above, the differentiation status of human-environment relationship is analyzed. It concluded that: (1) Under the influence of natural factors such as piedmont, climate, altitude, gradient, slope, geological environment, and geomorphic characteristics, the uneven spatial distribution of human-environment relationship in mountain tourism destination is greatly affected by vegetation, rainfall, heat distribution, wind direction, suitability for human activities, and especially the topography; (2) The Yulong Snow Mountain forms three distinct levels of spatial differentiation in human-environment relationships between the east and west slopes, between high, medium and low elevations, and between different gradients.
Keywords: Human-environment relationship, mountain tourism, spatial differentiation, mountain destination, Yulong Snow Mountain
DOI: 10.3233/JCM-247320
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1131-1139, 2024
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