Evaluating Imputation Methods for rainfall data under high variability in Johor River Basin, Malaysia

Evaluating Imputation Methods for rainfall data under high variability in Johor River Basin, Malaysia

Missing values in rainfall records might result in erroneous predictions and inefficient management practices with significant economic, environmental, and social consequences. This is particularly important for rainfall datasets in Peninsular Malaysia (PM) due to the high level of missingness that...

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Bibliographic Details
Main Authors:	Zulfaqar Sa’adi, Zulkifli Yusop, Nor Eliza Alias, Ming Fai Chow, Mohd Khairul Idlan Muhammad, Muhammad Wafiy Adli Ramli, Zafar Iqbal, Mohammed Sanusi Shiru, Faizal Immaddudin Wira Rohmat, Nur Athirah Mohamad, Mohamad Faizal Ahmad
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Series:	Applied Computing and Geosciences
Subjects:	Daily rainfall Johor river basin Missing data Multiple imputation methods Peninsular Malaysia Spatiotemporal variability
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590197423000344

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