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Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest
This study considers the Point of Interest data of tourism resources in Xinjiang and studies their spatial distribution by combining geospatial analysis methods, such as the average nearest neighbor index, standard deviation ellipse, kernel density analysis, and hotspot analysis, to explore their sp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265673/ https://www.ncbi.nlm.nih.gov/pubmed/35805331 http://dx.doi.org/10.3390/ijerph19137666 |
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author | Chang, Yao Li, Dongbing Simayi, Zibibula Yang, Shengtian Abulimiti, Maliyamuguli Ren, Yiwei |
author_facet | Chang, Yao Li, Dongbing Simayi, Zibibula Yang, Shengtian Abulimiti, Maliyamuguli Ren, Yiwei |
author_sort | Chang, Yao |
collection | PubMed |
description | This study considers the Point of Interest data of tourism resources in Xinjiang and studies their spatial distribution by combining geospatial analysis methods, such as the average nearest neighbor index, standard deviation ellipse, kernel density analysis, and hotspot analysis, to explore their spatial distribution characteristics. Based on the analysis results, the following conclusions are made. Different categories of tourism resource sites have different spatial distributions, and all categories of tourism resources in Xinjiang are clustered in Urumqi city. The geological landscape resource sites are widely distributed and have a ring-shaped distribution in the desert area of southern Xinjiang. The biological landscape resources are distributed in a strip along the Tianshan Mountains. The water landscape resources are concentrated in the northern Xinjiang area. The site ruins are mostly distributed in the western region of Xinjiang. The distributions of the architectural landscape and entertainment and shopping resources are highly coupled with the distribution of cities. The distributions of the six categories of tourism resource points are in the northeast-southwest direction. The centripetal force and directional nature of the resource points of the water landscape are not obvious. The remaining five categories of resource points have their own characteristics. The distribution of resources in the site ruins is relatively even, and there are many hotspot areas in the geomantic and architectural landscapes, which are mainly concentrated in Bazhou and other places. The biological landscape has many cold-spot areas, distributed in areas such as Altai in northern Xinjiang and Hotan in southern Xinjiang. The remaining four categories have cold-spot and hotspot areas with different distributions. Tourism is an important thrust for economic development. The study of the distribution of tourism resources on the spatial distribution of tourism resources has clear guidance for later tourism development, can help the tourism industry optimize the layout of resources, and can promote tourism resources to achieve maximum benefits. The government can implement effective control and governance. |
format | Online Article Text |
id | pubmed-9265673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92656732022-07-09 Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest Chang, Yao Li, Dongbing Simayi, Zibibula Yang, Shengtian Abulimiti, Maliyamuguli Ren, Yiwei Int J Environ Res Public Health Article This study considers the Point of Interest data of tourism resources in Xinjiang and studies their spatial distribution by combining geospatial analysis methods, such as the average nearest neighbor index, standard deviation ellipse, kernel density analysis, and hotspot analysis, to explore their spatial distribution characteristics. Based on the analysis results, the following conclusions are made. Different categories of tourism resource sites have different spatial distributions, and all categories of tourism resources in Xinjiang are clustered in Urumqi city. The geological landscape resource sites are widely distributed and have a ring-shaped distribution in the desert area of southern Xinjiang. The biological landscape resources are distributed in a strip along the Tianshan Mountains. The water landscape resources are concentrated in the northern Xinjiang area. The site ruins are mostly distributed in the western region of Xinjiang. The distributions of the architectural landscape and entertainment and shopping resources are highly coupled with the distribution of cities. The distributions of the six categories of tourism resource points are in the northeast-southwest direction. The centripetal force and directional nature of the resource points of the water landscape are not obvious. The remaining five categories of resource points have their own characteristics. The distribution of resources in the site ruins is relatively even, and there are many hotspot areas in the geomantic and architectural landscapes, which are mainly concentrated in Bazhou and other places. The biological landscape has many cold-spot areas, distributed in areas such as Altai in northern Xinjiang and Hotan in southern Xinjiang. The remaining four categories have cold-spot and hotspot areas with different distributions. Tourism is an important thrust for economic development. The study of the distribution of tourism resources on the spatial distribution of tourism resources has clear guidance for later tourism development, can help the tourism industry optimize the layout of resources, and can promote tourism resources to achieve maximum benefits. The government can implement effective control and governance. MDPI 2022-06-23 /pmc/articles/PMC9265673/ /pubmed/35805331 http://dx.doi.org/10.3390/ijerph19137666 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chang, Yao Li, Dongbing Simayi, Zibibula Yang, Shengtian Abulimiti, Maliyamuguli Ren, Yiwei Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest |
title | Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest |
title_full | Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest |
title_fullStr | Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest |
title_full_unstemmed | Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest |
title_short | Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest |
title_sort | spatial pattern analysis of xinjiang tourism resources based on electronic map points of interest |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265673/ https://www.ncbi.nlm.nih.gov/pubmed/35805331 http://dx.doi.org/10.3390/ijerph19137666 |
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