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지구의 잠재자연식생분포를 추정하기 위한 최적구면보간법의 개발
차경수(Gyung Soo Cha),락합공야(Kamiya Ochiai) 한국산림과학회 1997 한국산림과학회지 Vol.86 No.1
As the first step to estimate the potential natural vegetation distribution of the globe, the best spherical interpolation method was developed to the temperature and precipitation which have close relation to the distribution pattern of world natural vegetation. For developing the interpolation method, a named Light Climatic Dataset composed of 1,060 stations around the globe was randomly divided into halves of feeding side and target side. The discrepancy between the observed and estimated values at the target stations was compared with combinations of parameters and methods. The estimated values were calculated to each combination which is all-out, constant radius and constant station methods in the selection of the feeding stations, n square reciprocal and negative exponential functions in weighting function of distance between feeding stations and each target, and oval weighting in direction of the feeding stations from each target. As a result, it turned out that the spherical interpolation with negative exponential weighting function fed from the constant radius stations ovally weighed yields the best estimates both for temperature and for precipitation. The parameters for temperature are 30°in constant radius, 0.78 in negative exponential function and 0.4 in oval weighting, and for precipitation are 30°, 0.53 and 0.4, respectively.
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