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不同类型高级别景区空间分布特征及影响因素

Spatial distribution characteristics and influencing factors of different types of high-level scenic spots

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【作者】 杨瑞红韩维涛张玉董春许江涛

【Author】 YANG Ruihong;HAN Weitao;ZHANG Yu;DONG Chun;XU Jiangtao;College of Resources and Security, Henan College of Industry & Information Technology;Henan Coal Mine Filling and Settlement Reduction Engineering Technology Research Center;Hebei Provincial Institute of Cartography;Chinese Academy of Surveying and Mapping;

【通讯作者】 张玉;

【机构】 河南工业和信息化职业学院资源与安全学院河南省煤矿充填减沉工程技术研究中心河北省制图院中国测绘科学研究院

【摘要】 针对不同类型高级别景区空间分布特征及影响因素,该文将河南省4A级及以上景区分为6类,运用最近邻指数、核密度估计、分布指数,结合GIS空间分析和洛伦兹曲线从多维度分析不同类型高级别景区空间分布特征,采用地理探测器探测不同类型高级别景区影响因素。结果表明,洛阳高级别景区数量为全省之最,其地文景观类、历史遗迹类、生物景观类均居首位,郑州紧随其后,周口密度最低;地文景观类和历史遗迹类表现为显著集聚,生物景观类和休闲娱乐类表现为一般集聚,水域景观类和建筑与设施类表现为随机分布;不同类型高级别景区核密度高值区具有空间分异性且在不同地形上的分布指数差异明显,60%的水域景观类分布在距河流5 km范围内,57.81%的历史遗迹类、52.63%的休闲娱乐类分布在距市级行政中心25 km范围内;不同类型景区影响因素差异显著,坡度、高程、森林覆盖率是地文景观类主要影响因子,自然旅游资源、森林覆盖率、高程是生物景观类主要影响因子,人文旅游资源、生产总值、财政支持力度是历史遗迹类主要影响因子,地理区位、住宿餐饮业增加值和旅游总收入是建筑与设施类主要影响因子,财政支持力度、旅游总收入、生产总值是休闲娱乐类主要影响因子。

【Abstract】 In order to explore the spatial distribution characteristics and influencing factors of different types of high-level scenic spots, the scenic spots of 4A level and above in Henan Province were divided into six categories in this paper, and the spatial distribution characteristics of different types of high-level scenic spots were analyzed from multiple dimensions by using nearest neighbor index, kernel density estimation, distribution index, GIS spatial analysis and Lorenz curve. Geodetector was used to detect the influencing factors of different types of high-level scenic spots. The results showed that Luoyang has the most high-level scenic spots, and its physiographic landscape, historical relics and biological landscape rank first, followed by Zhengzhou, with the lowest density in Zhoukou; The physiographic landscapes and historical relics cluster significantly, the biological landscapes and recreations cluster generally, and the water landscapes and construction-facilities distribute randomly; The high value area of kernel density of different types of high-level scenic spots has spatial heterogeneity and the distribution index is obviously different on different terrains. 60% of the water landscapes are distributed within 5 km from the river, 57.81% of the historical sites and 52.63% of the recreations are distributed within 25 km from the municipal administrative center; The influencing factors of different types of scenic spots have significant differences, slope, elevation and forest coverage are the main factors of physiographic landscape, natural tourism resources, forest coverage and elevation are the main factors of biological landscape, and human tourism resources, GDP and financial support are the major factors of historical relics. Geographical location, added value of hospitality and catering industry and total tourism revenue are the main factors of construction and facilities, while financial support, total tourism revenue and GDP are the main factors of recreations.

【基金】 中央级公益性科研院所基本科研业务费专项(AR2203,AR2508);河南省科技攻关项目(232102320008);河南省高等学校重点科研项目(24B170004)
  • 【文献出处】 测绘科学 ,Science of Surveying and Mapping , 编辑部邮箱 ,2025年06期
  • 【分类号】P208;F592.7
  • 【下载频次】66
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