首页|基于眼动实验的城市野境景观分类研究

基于眼动实验的城市野境景观分类研究

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为进一步研究城市野境景观的分类,以英国切尔西花展中的 30 张图像作为研究样本,基于眼动追踪技术以及主成分分析法、系统聚类法等,对城市野境景观进行了分类.结果表明:眼跳次数、平均眼跳峰值和眼跳幅度 3 个指标在眼动数据的聚类分析中具有关键性作用;城市野境景观可被划分为狂野类和次野类两大类,其中次野类又分为间隙野类和微野类;景观中植物的野化程度及其与构筑物的和谐度在分类过程中起重要作用.研究结果可为城市野境景观的研究及城市人居环境的可持续发展提供参考.
Research on urban wildness landscape classification based on eye-tracking experiment
In order to further study the classification of urban wildness landscape,30 images from Chelsea Flower Show were taken as research samples,and the urban wildness landscape was classified based on eye tracking technology,principal component analysis method and systematic clustering method.The results show that the number of saccades,the average peak velocity of saccades and the amplitude of saccades play a key role in the clustering analysis of eye movement data.Urban wildness landscapes can be categorized into two main types:wild and sub-wild.The sub-wild category was further divided into intermittent wild and micro wild types.The degree of wildness of landscape plants and their harmony with structures play an important role in the classification process.The findings can provide reference for the study of urban wildness landscape and the sustainable development of urban human settlement environment

eye-tracking experimenturban wildness landscapeprincipal component analysissystematic clustering methodChelsea Flower Show in the United Kingdom

田梦杰、郭沁、赵博洋

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内蒙古师范大学 设计学院,呼和浩特 010022

内蒙古自治区心理学重点实验室,呼和浩特 010022

内蒙古师范大学 地理科学学院,呼和浩特 010022

眼动追踪 城市野境景观 主成分分析法 系统聚类法 英国切尔西花展

2024

延边大学学报(自然科学版)
延边大学

延边大学学报(自然科学版)

影响因子:0.388
ISSN:1004-4353
年,卷(期):2024.50(3)