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Methods for Improving the Microstructure of Recycled Concrete Aggregate: A Review Read chapter Read first chapter

2021 | OriginalPaper | Chapter

A GIS-Based K-Mean Clustering Algorithm for Characteristic Towns in China

Authors : Zuo Zhang, Yuqian Dou, Chi Zhan, Qiumei Mao

Published in: Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Singapore

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Abstract

The unbalanced development among regions and city-towns has attracted considerable attention due to the rapid China’s urbanization process. What promote the characteristic town, a key node in China's urban system, to be the new driving force of China's urbanization development and national economic adjustment are population, living environment, rural vitality restoration and economic innovation. However, the unitary development of characteristic towns will exert an adverse impact on the long-term economic development. On the condition that previous academic work focuses less on the spatial clustering, spatial features based on the Chinese city-town system are thus introduced in this paper, and then the basic data is integrated through the Orange platform for statistical analysis. Finally, on the basis of the spatial featural visualization obtained through nearest-neighbor search, the K-mean algorithm and GIS tool are applied to perform the visualization and conduct spatial analysis of characteristic town. The results indicate that: (1) premised on the large gap in the towns’ quantity, the distance between characteristic towns and prefecture-level cities as well as major cities is quite different in diverse regions; (2) the characteristic towns can be divided into four types in space, where this four spatial clusters are gradually increasing from east to west; (3) different spatial characteristic types require various unfolding policies.

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Metadata
Title
A GIS-Based K-Mean Clustering Algorithm for Characteristic Towns in China
Authors
Zuo Zhang
Yuqian Dou
Chi Zhan
Qiumei Mao
Copyright Year
2021
Publisher
Springer Singapore
Book
Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-16-3586-1

Electronic ISBN: 978-981-16-3587-8

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-3587-8_79