Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)

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Historical Evolution and Characteristics of Villages Based on ArcGIS Core Density Analysis

A Case Study of Shandong Province, China

Authors
Yong Fan1, *, De-ke Zhang2
1School of Civil Engineering and Architecture, University of Jinan, Jinan, China
2Linyi Emergency Management Bureau, Linyi, China
*Corresponding author. Email: Fanyong1919@163.com
Corresponding Author
Yong Fan
Available Online 11 July 2023.
DOI
10.2991/978-2-38476-062-6_153How to use a DOI?
Keywords
ArcGIS; nuclear density analysis; historical space; evolution characteristics
Abstract

The village is the witness of the development of Chinese civilization and the carrier of cultural heritage. The study of the diachronic evolution of the village can deeply reveal the evolution mechanism of the development of Chinese civilization and the laws and characteristics of village development. Based on the core density analysis function of ArcGIS, taking Shandong Province as an example, on the basis of fully mining historical data, this paper analyzes the spatial distribution characteristics of villages in different time sections, analyzes the laws and dynamic mechanism of village development and evolution, and obtains a clear pattern of village evolution in Shandong Province. The research results show that the spatial analysis function of ArcGIS can play a great role in dealing with spatial analysis problems with a large time span.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2023
ISBN
10.2991/978-2-38476-062-6_153
ISSN
2352-5398
DOI
10.2991/978-2-38476-062-6_153How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yong Fan
AU  - De-ke Zhang
PY  - 2023
DA  - 2023/07/11
TI  - Historical Evolution and Characteristics of Villages Based on ArcGIS Core Density Analysis
BT  - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
PB  - Atlantis Press
SP  - 1192
EP  - 1200
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-062-6_153
DO  - 10.2991/978-2-38476-062-6_153
ID  - Fan2023
ER  -