摘要
以南京市紫金山国家森林公园风景林为研究对象,对景观视觉质量展开评价,分析影响视觉质量的因子及核心成分。采用主成分分析法,把影响因子转化成核心特征指数;结合眼动分析图和特征指数分析影响风景林视觉质量的核心因素。影响视觉质量的特征指数分别为:风景林近自然度、地域文化特征、色彩丰富度、乔木易识别特征以及林内空间感。风景林近自然度、地域文化特征以及色彩丰富度对视觉质量的影响最为重要。以期能够对风景林的经营管理以及植物景观营建有所帮助。
With the scenic forests of Purple Mountain National Forest Park as the object of study,the evaluation on visual quality was conducted in this research to analyze the factors and core components which affected the visual quality.The impact factors were translated into principal components through principal component analysis(PCA),and the visual characteristics when people appreciated scenic forests were analyzed integrated with eye movement diagrams and principal components.Five principal components that influenced visual quality were close-to-nature degree of scenic forests,regional cultural characteristics,abundance of colors,easily-recognized features of arbors and spaciousness in forests respectively.Among the principal components,influences that close-to-nature degree of scenic forests,regional cultural characteristics and abundance of colors had on visual quality were the most significant.The study can be helpful to the management of scenic forests and the plant landscape construction.
作者
杨阳
唐晓岚
YANG Yang;TANG Xiaolan
出处
《中国园林》
北大核心
2020年第6期135-140,共6页
Chinese Landscape Architecture
基金
国家自然科学基金项目(编号31270746)
江苏省普通高校学术学位研究生科研创新计划项目(编号SJKY19_0870)
国家社会科学基金项目(编号12&ZD029)
江苏省六大人才高峰项目(编号2013-JZ-014)
住房和城乡建设部科学技术计划项目(编号2016-R2-068)
中国学位与研究生教育学会农林学科工作委员会2019年研究生教育管理课题(编号2019-NLZX-ZD15)
2018年南京林业大学专业学位研究生课程案例库建设项目(编号2018AL07)共同资助。
关键词
园林植物
紫金山国家森林公园
风景林
视觉质量评价
主成分分析法
因子分析
landscape plant
Purple Mountain National Forest Park
scenic forest
visual quality evaluation
principal component analysis
factor analysis