Spatial pattern of tourist attractions and its influencing factors in China
文献类型：期刊论文
| 作者 | Wang, Ting1; Wang, Lu2; Ning, Zhi-Zhong1 |
| 刊名 | JOURNAL OF SPATIAL SCIENCE
 |
| 出版日期 | 2020-05-03 |
| 卷号 | 65期号:2页码:327-344 |
| 关键词 | Tourist attractions spatial pattern distribution characteristics influence factors China |
| ISSN号 | 1449-8596 |
| DOI | 10.1080/14498596.2018.1494058 |
| 通讯作者 | Ning, Zhi-Zhong(nzz@vip.sina.com) |
| 英文摘要 | Based on the location data of 9820 A-grade tourist attractions in China, this study adopts the nearest-neighbour distance method, multi-distance clustering and kernel density analysis to study the distribution pattern of scenic spots and their relationship with natural and socio-economic factors. The spatial pattern of Chinese tourist attractions is found to be an aggregate. The spatial pattern of tourist attractions varies by their grade: China's tourist attractions are mainly distributed in plains and basins, close to main water systems. They are also distributed in areas with dense population and high levels of economic development, urban agglomeration and transport infrastructure. |
| WOS关键词 | DENSITY |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000536777400009 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159610]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ning, Zhi-Zhong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 2.Beijing Int Studies Univ, Sch Tourism Management, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ting,Wang, Lu,Ning, Zhi-Zhong. Spatial pattern of tourist attractions and its influencing factors in China[J]. JOURNAL OF SPATIAL SCIENCE,2020,65(2):327-344. |
| APA | Wang, Ting,Wang, Lu,&Ning, Zhi-Zhong.(2020).Spatial pattern of tourist attractions and its influencing factors in China.JOURNAL OF SPATIAL SCIENCE,65(2),327-344. |
| MLA | Wang, Ting,et al."Spatial pattern of tourist attractions and its influencing factors in China".JOURNAL OF SPATIAL SCIENCE 65.2(2020):327-344. |
入库方式： OAI收割
来源：地理科学与资源研究所
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