Evidence map›Paper›PMID 35805331›Full record

ArticleInternational journal of environmental research and public health2022

Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest.

Yao Chang, Dongbing Li, Zibibula Simayi, Shengtian Yang, Maliyamuguli Abulimiti, Yiwei Ren

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yao ChangCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China.
Dongbing LiCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China.ORCID 0000-0002-4278-3926
Zibibula SimayiCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China.
Shengtian YangInstitute of Water Science, Beijing Normal University, Beijing 100875, China.
Maliyamuguli AbulimitiCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China.
Yiwei RenCollege of Resources and Environmental Engineering, Ludong University, Yantai 264025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

TourismWater ResourcesChinaElectronicsSpatial AnalysisWaterWaterpoints of interestspatial analysistourism resource distributionXinjiang

Identifiers

PMID35805331
PMCPMC9265673

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.