首页|基于sDNA和POI数据的桂林龙脊梯田景区村寨地理空间分异及发展优化探析

基于sDNA和POI数据的桂林龙脊梯田景区村寨地理空间分异及发展优化探析

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为助力资源合理利用和引导乡村个性化发展,以全球重要农业文化遗产桂林龙脊梯田景区核心地带的3个传统村落为例,基于DEM高程数据和相关POI数据,利用ArcGIS的核密度分析和空间设计网络分析(sDNA)工具,分析村落的地形地貌、产业分布、路网可达性等地理空间分异特征及相互影响关系.结果表明:各村寨在景观资源、产业分布和交通可达性方面存在显著的空间分异性,这些差异影响了村落的旅游吸引力和产业发展潜力.针对发现的问题,提出了促进景观资源区域联动、提升民宿餐饮产业质量、优化游赏路径可达性等策略,以期实现村寨的差异化和联动发展.
Analysis of Geospatial Differentiation and Development Optimization of Villages in Guilin Longji Terrace Scenic Spot Based on sDNA and POI Data
To help the rational utilization of resources and guide the individualized development of villages,three traditional villages in the core area of Longji Scenic Area in Guangxi,a Globally Important Agricultural Cultural Heritage,are taken as an example.Through DEM elevation and relevant POI data,the geospatial differentiation characteristics and mutual influence relationship of the villages of the scenic area,such as topography and geomorphology,industrial distribution,road network accessibility,etc.,are analyzed using the kernel density method of ArcGIS and the spatial design network analysis method(sDNA).The results show that there is significant spatial heterogeneity among villages in terms of landscape resources,industrial distribution and transportation accessibility,and these differences affect the tourism attractiveness and industrial development potential of villages.In response to the problems identified,this paper proposes strategies to promote the regional linkage of landscape resources,improve the quality of the B&B catering industry,and optimize the accessibility of the touring paths to achieve the differentiation and linkage development of the villages.

Scenic Area villageGeospatial differentiationKerneldensity analysissDNA

陈江碧、张艺

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桂林理工大学旅游与风景园林学院(桂林541000)

景区村寨 地理空间分异 核密度分析 sDNA

2024

广东园林
广东园林学会

广东园林

影响因子:0.338
ISSN:1671-2641
年,卷(期):2024.46(3)