运河古镇景观意象感知研究——基于网络文本数据的分析

Landscape Image Perception of Ancient Towns along the Grand Canal:Analysis Based on Network Text Data

以8座运河古镇为研究对象,以线上评论为数据来源,运用ROST CM6与Pajek软件进行语义分析,探索运河古镇的景观意象特征。研究发现:(1)运河古镇景观意象要素可归纳为3个景观意象维度与8个景观意象类型,各镇之间景观意象要素共性与差异性并存。(2)意象要素与意象类型的感知具有核心意象突出、边缘意象不出众的特征。(3)运河古镇景观场景多样,依据聚类分析可总结出7个场景主题。

Taking 8 ancient towns along the Grand Canal as the research object,using online comments as the data source,and using RosT CM6 and Pajek software for semantic analysis,the study explores the landscape image characteristics of canal towns along the Grand Canal.①The results show that:The landscape image elements of the ancient towns along the Grand Canal can be summarized into three landscape image dimensions and eight landscape image types,and the commonalities and differences of the landscape image elements coexist in each town.②The perception of image elements and image types has the characteristics of core image being prominent and marginal image not being outstanding.③The landscape scenes of the canal towns along the Grand Canal are diverse,and seven scene themes can be summarized based onthe cluster analysis.