文件名称：一篇关于kriging的论文
文件大小：666KB
文件格式：PDF
更新时间：2017-03-20 17:19:20
Kriging
Geographical informationsystems could be improved by adding procedures forgeostatisticalspatial analysisto existingfacilities. Most traditional methods of interpolation are based on mathematical as distinct from stochastic models of spatial variation. Spatially distributed data behave more like random variables,however,andregionalized variable theory provides a set of stochastic methods for analysing them. Kriging is the method of interpolation deriving from regionalized variable theory.It depends onexpressing spatial variation of the property in terms ofthe variogram,and itminimizesthe predictionerrors whichare themselvesestimated. We describethe procedures and the way we link them using standard operatingsystems.We illustrate them usingexamplesfrom case studies, oneinvolvingthe mapping and control of soilsalinityin the Jordan ValleyofIsrael, the other in semi-arid Botswana where the herbaceous cover was estimated and mapped from aerial photographicsurvey