空格(标点符号)
语法
空间句法
人工智能
计算机科学
地理
建筑工程
自然语言处理
工程类
操作系统
标识
DOI:10.1080/00038628.2024.2322104
摘要
This paper employs machine learning and space syntax to classify villages, revealing implicit formation and development patterns in their spatial layouts. The study addresses village classification in Jilin Province from micro and macro perspectives. At the macro level, we present the classification method for villages based on geospatial distribution features (CVGD).We analyze the geographic distribution of villages and utilize village density for classification, effectively portraying the spatial distribution characteristics of villages. At the micro level, we propose the classification method for villages based on spatial structural features (CVSS). We use space syntax to extract spatial features of villages. Representative features chosen through comparative analysis serve as input variables in clustering algorithms, classifying villages based on high-dimensional data to explore their spatial traits. The paper summarizes village spatial characteristics from different classifications and studies how geographic factors affect village structure. It aims to offer potentially valuable theoretical insights for rural development.
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