Estimation of Missing Rainfall Data Using Spatial Interpolation and Imputation Methods
This study is aimed to estimate missing rainfall data by dividing the analysis into three different percentages namely 5%, 10% and 20% in order to represent various cases of missing data. In practice, spatial interpolation methods are chosen at the first place to estimate missing data. These meth...
Main Authors: | Roslinazairimah, Zakaria, Noor Fadhilah, Ahmad Radi, Muhammad Az-Zuhri, Azman |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6628/ http://umpir.ump.edu.my/id/eprint/6628/1/fist-2014-roslina-Estimation_of_Missing.pdf |
Similar Items
-
Estimation of Missing Rainfall Data in Pahang using Modified Spatial Interpolation Weighting Methods
by: Roslinazairimah, Zakaria, et al.
Published: (2015) -
Simulation study of adjusted spatial weighting method to estimate missing rainfall data
by: Muhammad Az-Zuhri, Azman, et al.
Published: (2018) -
Assessment of [GIS] spatial interpolation methods in estimating rainfall missing data / Norazimah Hani Ismail
by: Ismail, Norazimah Hani
Published: (2018) -
A Review of Rainfall Modelling for Rainfall Occurrence and Amount
by: Roslinazairimah, Zakaria, et al.
Published: (2014) -
Extraction Method of Extreme Rainfall Data
by: Roslinazairimah, Zakaria, et al.
Published: (2017)