Open AccessResearch on Spatial Pattern of Cultural and Creative Industries in Shanghai Based on POI Data
Author(s) -
Qian Zhao,
Ziyi Hu,
Tianyan Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012033
Subject(s) - economic geography , economies of agglomeration , creative industries , scale (ratio) , cluster analysis , space (punctuation) , geography , regional science , computer science , cartography , artificial intelligence , economics , economic growth , political science , law , operating system
The combination of big data and cultural and creative industry provides reference for the smart layout of urban planning. Based on nuclear density estimation, location entropy analysis and Ripley’s K function analysis, this paper uses ArcGIS10.2 to study the spatial pattern of cultural and creative industries in Shanghai based on the point of interest (POI) data of various cultural and creative industries in Shanghai. The results show that the spatial distribution of Shanghai’s cultural and creative industries is characterized by agglomeration, presenting a “multi-core” spatial structure, and the industry space of various cultural and creative industries is distributed as “center - periphery”, showing different distribution patterns. The results also show that the multi-scale spatial clustering of all kinds of cultural and creative industries shows different manifestations. They all converge on a larger spatial scale and have a larger range of spatial choices.Then, there are obvious regional differences in the professional functions of various cultural and creative industries. The mature blocks show multi-functional elements and multi-advantageous industries are featured by agglomeration. The functions of the developing blocks are relatively single.