شماره ركورد كنفرانس :
3140
عنوان مقاله :
Application of Kriging and Co-kriging in Predicting Electrical Conductivity (EC) of Chahar Mahal va Bakhtiari provinces Groundwater
عنوان به زبان ديگر :
Application of Kriging and Co-kriging in Predicting Electrical Conductivity (EC) of Chahar Mahal va Bakhtiari provinces Groundwater
پديدآورندگان :
Iranpanah N نويسنده Department of Statistics _ Isfahan University _ Isfahan _ Iran , Hosseini S.M نويسنده Department of Biostatistics and Epidemiology- Isfahan University of Medical Science - Isfahan - Iran , Nekouie Isfahani K نويسنده Department of Biostatistics and Epidemiology- Isfahan University of Medical Science - Isfahan - Iran
كليدواژه :
Spatial statistics , Spatial correlation , Kriging , Variogra , Co kriging
عنوان كنفرانس :
يازدهمين كنفرانس آمار ايران
چكيده لاتين :
Most of statistical approaches always assume that observations on a phenomenon are taken under identical conditions and each observation is taken independently of the other is a matter of fact, the nearer data in the space is more realistic if it is considered as correlated and can be modeled with spatial statistics. There are different methods which can be used in order to have a prediction of values of the variable under study where there is no information about that variable in the specified location. Different types of Kriging and Co-Kriging can be considered as some examle. An expression of an applied example about Groundwater quality in the province of Chahar Mahal Va Bakhtiari which will predict electrical conductivity of water (EC) by using Kriging and Co-kriging was offered.TDS has been applied as an auxiliary variable and the result was compared. It was concluded that the result of Co-Kriging are more exact than the other method.
شماره مدرك كنفرانس :
4219389
