Graphical visualization analysis of spatio-temporal interaction evolution of innovation space based on geographic information system: taking Shanghai, Nanjing and Hangzhou regions as examples

Qiqi Yu

doi:10.1117/12.3004075

11 October 2023 Graphical visualization analysis of spatio-temporal interaction evolution of innovation space based on geographic information system: taking Shanghai, Nanjing and Hangzhou regions as examples

Qiqi Yu

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128005C (2023) https://doi.org/10.1117/12.3004075
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

This paper takes 1417 innovation and entrepreneurship spaces in Shanghai, Nanjing and Hangzhou from 2010 to 2020 as the research object, visualizes the spatial and temporal interactive evolution characteristics of innovation and entrepreneurship spaces in Shanghai, Nanjing and Hangzhou based on the nearest neighbor index, nucleus density estimation and spatial autocorrelation in GIS, and uses image processing technology to enhance their spatial and temporal expressions. The results show that 1) the overall spatial distribution of innovation and entrepreneurship in Shanghai evolves from "one belt and three cores" to "one core and many subsets", with the main urban area forming a campus-driven development pattern and the suburban and distant suburban areas forming a park-driven development pattern; 2) the degree of spatial concentration of innovation and entrepreneurship in Hangzhou fluctuates, with the concentration area evolving from "Nanjing innovation and entrepreneurship space agglomeration area evolves from "one core and three vice" to "multi-core resonance"; 3) Nanjing innovation and entrepreneurship space cluster evolves from "one core and three subsets" to "multi-nuclear resonance", the center of gravity of the "extreme core" as a whole "shifts south", and some of the "extreme core" areas split into multiple "extreme cores" zones.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Qiqi Yu "Graphical visualization analysis of spatio-temporal interaction evolution of innovation space based on geographic information system: taking Shanghai, Nanjing and Hangzhou regions as examples", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128005C (11 October 2023); https://doi.org/10.1117/12.3004075

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KEYWORDS

Visualization

Geographic information systems

Roads

Analytical research

Autocorrelation

Optical spheres

Image processing

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