A Research on Rainfall Spatial Interpolation Methods Based on GIS
Huang Li
Abstract
Huang Li
Abstract
The factors influencing the spatial distribution of rainfall and main methods of rainfall spatial interpolation were analyzed.Then with a comprehensive consideration of the influences of elevation,slope and aspect,the problem of spatial interpolation and application of rainfall interpolation calculation for the Meijiang River Basin were discussed by the spatial analysing function of GIS.With the reverse distance weighted method,the ordinary Kriging method and the new Co-Kriging method which take the influences of elevation,slope and aspect information into account,the comparison was made on several rainfall spatial interpolation methods with ArcGIS.The study shows that Co-Kriging method is obviously superior to the other two methods.
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The factors influencing the spatial distribution of rainfall and main methods of rainfall spatial interpolation were analyzed.Then with a comprehensive consideration of the influences of elevation,slope and aspect,the problem of spatial interpolation and application of rainfall interpolation calculation for the Meijiang River Basin were discussed by the spatial analysing function of GIS.With the reverse distance weighted method,the ordinary Kriging method and the new Co-Kriging method which take the influences of elevation,slope and aspect information into account,the comparison was made on several rainfall spatial interpolation methods with ArcGIS.The study shows that Co-Kriging method is obviously superior to the other two methods.
Key concepts: Kriging, Multivariate interpolation, Interpolation (computer graphics), Elevation (ballistics), Spatial analysis, Spatial distribution, Spatial dependence, Environmental science