A Framework to Spatially Cluster Air Quality Monitoring Stations in Peninsular Malaysia using the Hybrid Clustering Method

• Main Authors: Nurul Alia, Azizan, Ahmad Syibli, Othman, Asheila, Meramat, Noor Syuhada, Muhammad Amin, Azman, Azid
• Format: Article
• Language: English
• Published: Universiti Teknologi Malaysia 2023
• Subjects: R Medicine (General)
• Online Access: http://ir.unimas.my/id/eprint/43267/3/A%20Framework%20-%20Copy.pdf; http://ir.unimas.my/id/eprint/43267/; https://mjfas.utm.my/index.php/mjfas/article/view/2620

Multiple variables must be analyzed in order to assess air quality trends. It turns into a multidimensional issue that calls for dynamic methods. In order to provide an improved spatial cluster distribution with distinct validation, this study set out to illustrate the hybrid cluster method in air q...