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Seongyun Kim

Chonnam National University

300 Yongbong-dong

Gwangju

Korea, Republic of (South Korea)

  • Chonnam National University

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Scholarly Papers (1)

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Geographically Weighted Machine Learning for Predicting the Spatial Distribution of Groundwater Nitrate Nitrogen (No3-N) Concentration

Number of pages: 49 Posted: 20 Aug 2024
Younghun Lee, Changhyun Kim, Hyemin Jeong, Dongho Kim, Byeongwon Lee, Taeseung park, Seongyun Kim, Dongjin Jeon, Jongho Ahn, Jai-Young Lee, YoonKyung Cha and Sangchul Lee
Korea University, University of Seoul, Korea University, University of Seoul, Korea University, University of Seoul, Chonnam National University, Korea Environment Institute, Korea Environment Institute, University of Seoul, University of Seoul and University of Seoul
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Abstract:

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Groundwater quality, Geospatially weighted machine learning model (GWMLM), Spatial variability, Conventional machine learning models (CMLMs), Spatial autocorrelation