A Study on the Spatial Distribution of Medical Resources in the Wuhan Metropolitan Area Based on Spatial Data Analysis

DOI

10.2991/978-94-6463-992-6_52How to use a DOI?

Keywords

Spatial Data Analysis; Healthcare Resource; Wuhan Metropolitan Area

Abstract

This study investigates the spatial distribution of medical resources in the Wuhan Metropolitan Area by applying Spatial Data Mining and Analysis methods. We employed Kernel Density Estimation to visualize distribution patterns and combined the Nearest Neighbor Index with spatial autocorrelation to quantify clustering characteristics. The Geodetector Analysis was used to identify key determinants of the distribution. Results confirm a clustered pattern and reveal distinct influencing factors for different hospital tiers. The study demonstrates the utility of these methods in urban healthcare planning and forward recommendations for optimizing the spatial allocation of medical resources.

Copyright

© 2026 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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TY  - CONF
AU  - Ningjie Wu
PY  - 2026
DA  - 2026/02/20
TI  - A Study on the Spatial Distribution of Medical Resources in the Wuhan Metropolitan Area Based on Spatial Data Analysis
BT  - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
PB  - Atlantis Press
SP  - 558
EP  - 569
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-992-6_52
DO  - 10.2991/978-94-6463-992-6_52
ID  - Wu2026
ER  -