Analysis on the Layout of Education Industry Under Information Science: A Case Study of Hefei
- DOI
- 10.2991/978-94-6463-044-2_125How to use a DOI?
- Keywords
- point of interest; education; big data; correlation analysis; information Science
- Abstract
With the development of information science, the technology based on data mining and data analysis has more and more applications in reality. Based on POI geographic big data, this paper uses kernel density estimation to describe the spatial agglomeration state of education industry in Hefei, determines the core range of education industry distribution, and uses bivariate spatial autocorrelation analysis to explore the spatial correlation between education industries. The results show that: 1. The distribution of all kinds of educational institutions in Hefei city has a strong commonality, and the spatial agglomeration characteristics are obvious. However, the distribution of different types of educational institutions still has many characteristics of their own. 2. There are great differences in spatial correlation between different industries. Kindergarten, primary school and middle school are closely related. Colleges and universities have very low spatial correlation with other industries. Other institutions also have certain characteristics.
- Copyright
- © 2022 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
TY - CONF AU - Zerui Yuan PY - 2022 DA - 2022/12/27 TI - Analysis on the Layout of Education Industry Under Information Science: A Case Study of Hefei BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 1000 EP - 1008 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_125 DO - 10.2991/978-94-6463-044-2_125 ID - Yuan2022 ER -