Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
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Article Number | 02002 | |
Number of page(s) | 6 | |
Section | Big Data Environment Management Application and Industry Research | |
DOI | https://doi.org/10.1051/e3sconf/202125302002 | |
Published online | 06 May 2021 |
Spatial Distribution and Its Evolution Characteristics of A-grade Scenic spots of Xinjiang in the Context of Big Data
1 School of Geography and Tourism, Shaanxi Normal University Xi’an, China
2 School of Geography and Tourism, Shaanxi Normal University Xi’an, China
3 School of Geography and Tourism, Shaanxi Normal University Xi’an, China
a Email: 278125866@qq.com
*b Email: jfwu@snnu.com.cn
c Email: 840432561@qq.com
In the context of big data, based on the space analysis function in GIS, using the nearest neighbor index, kernel density analysis and the model of gravity center migration, this article studies spatial distribution and its evolution characteristics of A-grade scenic spots. The results showed that: 1) The number of A-grade scenic spots of Xinjiang grows rapidly and the grade structure is constantly optimized. 2) The spatial distribution characteristics of A-grade scenic spots of Xinjiang are as follows: the spatial distribution of scenic spots is in the pattern of "large dispersion and small agglomeration", mainly along 120km around the city and 10km on both sides of the traffic trunk lines, presenting a "cluster" distribution. 3) The spatial evolution characteristics of A- grade scenic spot in Xinjiang are as follows: the center of gravity of the scenic spot is gradually moving to the west, the overall distribution scope is constantly expanding, and the degree of local agglomeration is constantly increasing, formed three core distribution areas: Urumqi-changji, Yili and Kashgar. 4) The spatial distribution and evolution characteristics of A-grade scenic spots of Xinjiang are mainly affected by topography, the nearby city, population scale and traffic conditions.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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