Study for building beta regression model of solar radiation at ungauged points†
Yu Kyung Noh1 · Myung Hwan Na2 · Moosup Kim3
13Department of Statistics, Keimyung University
2Department of Mathematics and Statistics, Chonnam National University
2Department of Mathematics and Statistics, Chonnam National University
Correspondence to: † This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry(IPET) and Korea Smart Farm R&D Foundation(KosFarm) through Smart Farm Innovation Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs(MAFRA) and Ministry of Science and ICT(MSIT), Rural Development Administration(RDA)(421017-04).
1 Graduate Student of Master Degree, Department of Statistics, Keimyung University, Daegu 42601, Korea.
2 Professor, Department of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea.
3 Corresponding author: Department of Statistics, Keimyung University, Daegu 42601, Korea. E-mail: moosupkim@kmu.ac.kr
1 Graduate Student of Master Degree, Department of Statistics, Keimyung University, Daegu 42601, Korea.
2 Professor, Department of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea.
3 Corresponding author: Department of Statistics, Keimyung University, Daegu 42601, Korea. E-mail: moosupkim@kmu.ac.kr
Received March 3, 2022; Revised April 2, 2022; Accepted April 5, 2022.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Abstract
- Solar radiation prediction is still essential for crop harvest outlook although smart farms are widespread in agriculture. Since crop growth spans from one to several months, it is reasonable to produce the prediction data through seasonal forecast downscaling. On the other hand, for the downscaling, meteorological observation data is required, but solar radiation data is poor or missing at many of the observation stations. In this paper, the spatial modeling method is applied and tested to build statistical model of solar radiation at ungauged points.
- Keywords : Beta regression, solar radiation, spatial modeling, ungauged point.
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