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A Space Model to Annual Rainfall in South Korea

  • Lee, Eui-Kyoo (Department of Applied Statistics, Konkuk University)
  • Published : 2003.08.01

Abstract

Spatial data are usually obtained at selected locations even though they are potentially available at all locations in a continuous region. Moreover the monitoring locations are clustered in some regions, sparse in other regions. One important goal of spatial data analysis is to predict unknown response values at any location throughout a region of interest. Thus, an appropriate space model should be set up and their estimates and predictions must be accompanied by measures of uncertainty. In this study we see that a space model proposed allows a best interpolation to annual rainfall data in South Korea.

Keywords

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  2. The Estimation of Theoretical Semivariogram Adapting Genetic Algorithm for Kriging vol.11, pp.2, 2004, https://doi.org/10.5351/CKSS.2004.11.2.355
  3. Optimization of PRISM Parameters and Digital Elevation Model Resolution for Estimating the Spatial Distribution of Precipitation in South Korea vol.15, pp.3, 2012, https://doi.org/10.11108/kagis.2012.15.3.036
  4. Assessment and Improvement of Snow Load Codes and Standards in Korea vol.34, pp.5, 2014, https://doi.org/10.12652/Ksce.2014.34.5.1421
  5. Assessment of Design Snow Depth for Green House Using Frequency Analysis vol.16, pp.1, 2016, https://doi.org/10.9798/KOSHAM.2016.16.1.247
  6. Estimation of Snowfall Frequency and Selection of Appropriate Probability Distribution in Korea vol.14, pp.4, 2014, https://doi.org/10.9798/KOSHAM.2014.14.4.101