基于UGC数据的云水谣古镇景观意象图景时空特征

文章基于UGC图片数据,通过时间统计分析、多空间聚类分析以及核密度分析对云水谣古镇景观意象图景时空特征进行研究。结果表明:在时间变化上,一年四季中云水谣古镇的拍摄照片数量有明显峰值,夜景拍摄极少,月变化呈“W”变化趋势,5类景观意象有明显分层;在空间分布上,古镇内以中部为热点区域向外辐射,空间流动主要集中在怀远楼、水车、和贵楼3个热点之间,往其他景点形成次一级流向,照片形成的热点移动轨迹显示游览路径呈单一性和趋向性;古镇内看点(观景点)和焦点(景观点)在网络空间中呈现不同的集聚和离散特征。

Temporal and Spatial Characteristics of Landscape Imagery of Yunshuiyao Ancient Town Based on UGC Datas

Based on UGC image data,this paper studies the landscape space of the ancient town of Yunshuiyao from the perspective of time and space using content analysis,multi-space clustering analysis and kernel density analysis.The results show that in terms of time,there is an obvious peak in the number of photos taken of the ancient town in the four seasons,few photos are taken for night scenes,the monthly change shows a“W”change trend,and the five types of landscape imagery have obvious stratification.In terms of spatial distribution,the central part of the ancient town is the hot area with more photos taken than the areas outwards.The photoing in spatial term is mainly along the line from Huaiyuan Tower through Waterwheel to Guilou,while the photoing of other attractions forms the sub-level flow.And The hot spots connected by the photoing indicate a singular and trending move of tour path.The scenery view points and scenic spots in the ancient town present different agglomeration and discrete characteristics in cyberspace.