Abstract
The distribution of urban functional space is an important factor to measure the development of a city. Its reasonable layout plays an important role in the development of urban economy and the optimization of urban spatial pattern. This paper is based on the third ring road of Nanning city Based on POI data, the functional land is divided into five categories: life service, business and finance, public service, leisure and entertainment, and residence. By using kernel density analysis, frequency density analysis and standard deviation ellipse analysis, the urban function and distribution characteristics of the Third Ring Road area in Nanning city are identified and analyzed. The results show that: 1. The overall spatial layout is affected by traffic and urban master plan Under the influence of other factors, the spatial pattern of “circle layer” appears. Taking one ring as the core, it has obvious central agglomeration. 2. The trend of urban development shows an obvious pattern of prosperity in the West and decline in the East.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Dong, N., Yang, X., Cai, H., et al.: Research on grid size suitability of gridded population distribution in urban area: a case study in urban area of xuanzhou district, China. PLoS ONE 12(1), e0170830 (2017)
Pan, H.Y., Gu, J.R., Zhou, J.M.: Research on the division for functional area of evaluation of intensive use based on delaunay triangulation and GIS – a case of functional area for residence in Qingyang. Adv. Mater. Res. 468–471, 2749–2754 (2012)
Klug, K., Hogekamp, C.: André specht. per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sens. Environ. 115(5), 1145–1161 (2011)
Tieying, Z., Hongwei, L.I., Donghao, X.U., et al.: POI data visualization based on DBSCAN algorithm. Sci. Surveying Mapp 41(5), 157–162 (2016)
Xin, Y., WU, S. et al.: Analysis of the relevance of spatial distribution between urban parks and transportation infrastructure in Beijing based on POI data. J. Landscape Res. 10(03), 30–37 (2018)
Ling, Z.: Research in POI classification standard. Bull. Surveying Mapp. (10), 82–84 (2012)
Peng, J., Zhao, S., Liu, Y., et al.: Identifying the urban-rural fringe using wavelet transform and kernel density estimation: a case study in Beijing City, China. Environ. Model. Softw. 83, 286–302 (2016)
Chi, J., Jiao, L., Dong, T., et al.: Quantitative identification and visualization of urban functional area based on POI Data. J. Geomatics 41(2), 68–73 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, J., Ma, Y., Jiang, J., Chen, W., Yu, N., Pan, S. (2021). The Research About Spatial Distribution of Urban Functions Based on POI Data. In: Zu, Q., Tang, Y., Mladenović, V. (eds) Human Centered Computing. HCC 2020. Lecture Notes in Computer Science(), vol 12634. Springer, Cham. https://doi.org/10.1007/978-3-030-70626-5_39
Download citation
DOI: https://doi.org/10.1007/978-3-030-70626-5_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-70625-8
Online ISBN: 978-3-030-70626-5
eBook Packages: Computer ScienceComputer Science (R0)