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作 者:王雨 王嘉学[1] 杨萌 王霄 胡瑞 杨发伟 WANG Yu;WANG Jiaxue;YANG Meng;WANG Xiao;HU Rui;YANG Fawei(Faculty of Geography,Yunnan Normal University,Kunming 650500,Yunnan;School of Geography and Environment,Shandong Normal University,Jinan 250013,Shandong;Faculty of Power Engineering,Kunming University of Science and Technology,Kunming 650031,Yunnan)
机构地区:[1]云南师范大学地理学部,云南昆明650500 [2]山东师范大学地理与环境学院,山东济南250358 [3]昆明理工大学电力工程学院,云南昆明650031
出 处:《四川师范大学学报(自然科学版)》2024年第2期204-212,共9页Journal of Sichuan Normal University(Natural Science)
基 金:云南省文化和旅游厅专项研究课题(01300206020618018)。
摘 要:在二十大提出推进健康中国建设战略大背景下,康养旅游受到广泛关注.以西南地区康养旅游地为研究对象,运用最近邻指数、核密度分析等方法研究其空间分布特征,借助地理探测器探讨其影响因子.研究旨在厘清西南地区康养旅游地的空间分布规律,辨识其影响因素,促进西南康养产业组团式开发.研究表明:1)从均衡程度及空间分布类型来看,西南全域与各省内部空间分布模式存在一致性.2)西南全域康养地呈现出“东高西低”的密度特征以及“四极多核”的空间格局.3)康养地的空间分布受自然和社会经济因素综合作用.其中,人口密度对其空间分异的解释力最强,植被覆盖度与人均GDP是影响空间分异的第一主导交互因子,不存在独立作用或减弱解释力的交互因子.In the post epidemic era and in the context of the strategy of promoting the construction of a healthy China proposed by the Twentith National Congress,health tourism has attracted widespread attention.In this paper,the nearest neighbor index and nuclear density analysis were used to study the spatial distribution characteristics of health tourism destinations in Southwest China,and the influence factors were discussed with the aid of GeoDetector.The purpose of the study was to clarify the spatial distribution of health care tourism in Southwest China,identify its influencing factors,and promote the cluster development of health care industry in Southwest China.The research shows that:1)from the perspective of balance degree and spatial distribution type,there is consistency between the spatial distribution pattern of the whole southwest and that of each province.2)The health land in the whole southwest shows the density characteristics of“high in the east and low in the west”and the spatial pattern of“four poles and multiple cores”.3)The spatial distribution of health land is affected by a combination of natural and socio-economic factors.Among them,population density has the strongest explanatory power for its spatial differentiation.The first leading interaction factor affecting spatial differentiation is vegetation coverage,which is equal to GDP per capita.There is no interaction factor that has independent effect or weakens the explanatory power.
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