娱乐
地理
背景(考古学)
旅游
文化遗产
自然资源
分布(数学)
文化旅游
资源(消歧)
空间分布
环境资源管理
区域科学
生态学
计算机科学
旅游地理学
经济
数学
数学分析
考古
计算机网络
生物
遥感
标识
DOI:10.2478/amns.2023.2.01430
摘要
Abstract In this paper, in the context of red cultural heritage, GIS technology is firstly utilized to comprehensively classify the resources of the Long March National Cultural Park, including natural, humanistic and recreational resources in various aspects. Through spatial distribution assessment, the distribution characteristics of each type of resource in the park are revealed. Subsequently, the degree of influence of spatial differentiation of resources was calculated by selecting influencing factors with multi-dimensional considerations. Finally, multiple regression analysis was utilized to establish a quantitative model that assesses the degree of influence of each factor on the spatial differentiation of resources. Among the spatial differentiation influencing factors, market demand and natural factors had the highest weights, 0.5584 and 0.3588, respectively. In addition, it was proved that air quality and comfort had a high significance level of P<0.05, which highlighted the importance of the climate environment. Meanwhile, the positive correlation between the number of scenic spots above the 3A level and trade volume and spatial structure, GDP as well and tourism income highlights the positive influence of red cultural heritage on the spatial differentiation of tourism resources.
科研通智能强力驱动
Strongly Powered by AbleSci AI