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- W42924904 abstract "Based on reviewing the origin,development and basic principles of Geostatistics,two kinds of interpolationmethods concretely ordinary Kriging and Cokriging are discussed.As no single method among so many available ones to spatial interpolation of climate variables is optimalfor all regions and all variables,the interpolationmethods are discussed based on Geostatistics by using annual average precipitation and evaporationin Gansu province from 1961 to 1990.Based on different semivariogram theory models we adopt ordinary Kriging and BivariateCokriging,by comparing of them the obtained conclusions are as follows: (1) No mattermulti-year average precipitation or evaporation all presentedobvious gradient change on space,the change ranges of both weregreat,the former was larger than the latter.Multi-year Annual average precipitationdecreasedgradually from southeast to northwestward,but evaporationwasopposite,increasedgradually from southeast to northwest.(2) According to semivariogram cloud plotsand experiment variance minimum principle selectedsuitable semivariogram theory modelsbased on Geostatistics interpolation methodtointerpolate,which could simulatespace pattern spreadingcontinuously of regionalized variable well,then get better interpolation effect.Comparing ordinary Kriging with Cokriging,as the latter input altitude which had an influence on precipitation and evaporation,it was more rational on space distribution and had a higher interpolation precision.(3) With Geostatisticsmethods the spatial interpolations couldreflect the general space patternof climate variables better in general,but the spatialinterpolations precisionoftwo methods werestill not high,whichstill remainedfurtherimproving." @default.
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- W42924904 date "2005-12-24" @default.
- W42924904 modified "2023-09-23" @default.
- W42924904 title "A Study on Spatial Interpolation Methods for Climate Variables Based on Geostatistics" @default.
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