2021
DOI: 10.3390/su13084232
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Spatial Patterns of China’s Ski Resorts and Their Influencing Factors: A Geographical Detector Study

Abstract: This study uses geographic information systems (GIS) and geographical detector techniques to explore the national and regional pattern of the spatial distribution of China’s ski resorts, and quantitatively identifies the main factors that influence their location. Results show that although China’s ski areas are geographically clustered, ski resorts are more likely to be located at high latitudes (northeast and northwest China) than at low latitudes (central and south China). Among the most influential factors… Show more

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Cited by 10 publications
(7 citation statements)
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“…Mountainous regions' ski revenue, for illustration, provides for around 5.2 percent of Belgium's GDP. GNP accounts for over half of the total tourist earnings [Fang et al [1]]. The Internet of Things created a technological realm that interacts with the physical world, producing a new man-land connection.…”
Section: Introductionmentioning
confidence: 99%
“…Mountainous regions' ski revenue, for illustration, provides for around 5.2 percent of Belgium's GDP. GNP accounts for over half of the total tourist earnings [Fang et al [1]]. The Internet of Things created a technological realm that interacts with the physical world, producing a new man-land connection.…”
Section: Introductionmentioning
confidence: 99%
“…The geographical detector model (GDM) was proposed by Wang et al (2020) based on spatial variance analysis, which is a novel statistical method used to reveal the driving factors of the spatial variation of geographical elements. This method has been widely applied to quantify the influence of potential driving factors on geospatial elements (Wu et al, 2016; Zhou et al, 2018a; Bai, 2019; Luo et al, 2019; Wei et al, 2020; Fang et al, 2021; Song and Wu, 2021). The geographical detector model consists of four modules, namely, factor detector, interaction detector, risk detector and ecological detector.…”
Section: Methods and Datamentioning
confidence: 99%
“…The basic principle is to compare whether various types of influences are consistent in their spatial distribution from the perspective of spatial differentiation. Specifically, if an independent variable influences a dependent variable, the spatial distribution of the two variables should be similar [30]. The calculation formula is:…”
Section: ) Geodetectorsmentioning
confidence: 99%