地理空间信息2026，Vol.24Issue(3)：61-66,6.DOI:10.3969/j.issn.1672-4623.2026.03.013
利用Ripley's K函数法的制造业微观企业数据空间集聚分析
Spatial Agglomeration Analysis of Manufacturing Industry Micro-enterprise Data Based on Ripley's K Function
赖冠中1
作者信息
- 1. 广州市白云区城市规划设计研究所,广东 广州 510080
- 折叠
摘要
Abstract
Under the background of manufacturing industry upgrade,taking the micro-enterprises in current construction land and typical industry agglomeration areas as the research objects,we used the multi-scale and single and double Ripley's K function to study the spatial agglomeration in Baiyun District of Guangzhou City.The research results showed that ①in the two research windows,the labor-intensive industry,mainly textile and costume industry,had the highest clustering degree,matching the current industrial situation of Baiyun District.②The mutual attraction between most industries in Baiyun District was related to the sharing of industry labor and the stream of industrial chains.③The analysis of six typical industry agglomeration areas showed that it was similar to the overall distribution of whole district.However,the agglomeration performance of wooden furniture industry and technology-intensive industry in these six areas was more obvious than that in the whole district.The Donghua industry agglomeration area of Renhe Town formed an obvious agglomeration of technology-intensive industry.关键词
制造业/工业集聚区/单双变量Ripley's K函数/空间集聚/白云区Key words
manufacturing industry/industry agglomeration area/single and double Ripley's K function/spatial agglomeration/Baiyun District分类
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赖冠中..利用Ripley's K函数法的制造业微观企业数据空间集聚分析[J].地理空间信息,2026,24(3):61-66,6.
