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A Space Model to Annual Rainfall in South Korea

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

초록

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.

키워드

참고문헌

  1. Linear Models for Multivariate, Time Series and Spatial Data Christensen,R.C.
  2. Mathematical Geology v.22 The Equivalence of Predictions from Universal Kriging and Intrinsic Random-Function Kriging Christensen,R.C. https://doi.org/10.1007/BF00890514
  3. Statistics for Spatial Data(revised ed.) Cressie,N.
  4. Journal of the American Statistical Association v.57 Best Linear Unbiased Prediction in the Generalized Linear Regression Model Goldberger https://doi.org/10.2307/2281645
  5. Journal of Climate v.8 Estimating Spatial Correlations from Spatial-Temporal Meteorological Data Gunst,R.F. https://doi.org/10.1175/1520-0442(1995)008<2454:ESCFST>2.0.CO;2
  6. Mining Geostatistics Journel,A.G.;Huijbregts,C.J.
  7. S+ Spatial Stats. User's Manual for Windows and UNIX Kaluzny,S.P.;Vega,S.C.;Cardoso,T.P.;Shelly,A.A.
  8. Mathematical Geology v.25 Generalized Covariance Functions in Estimation Kitanidis,P.K. https://doi.org/10.1007/BF00890244
  9. Traite de Geostatistique Appliquee, Tome I. Memories du Bureau de Recherches Gelogiques et Minieres no.14 Matheron,G.

피인용 문헌

  1. Comparison of Precipitation Distributions in Precipitation Data Sets Representing 1km Spatial Resolution over South Korea Produced by PRISM, IDW, and Cokriging vol.16, pp.3, 2013, https://doi.org/10.11108/kagis.2013.16.3.147
  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