variable of interest, in interpolat

variable of interest, in interpolation. it assumes thatthe correlation between the variables can improvethe prediction of the value of the primary variable'For example, better results in precipitation interpolation have been reportecl by including elevationas an adciitional variable in cokriging (Martinez Cob 1996). Cokliging can be ordinary cokriging,universal cokriging, and so on, depending on thekriging method that is applied to each data set'

variable of interest, in interpolation. it Assumes that
the correlation between the variables Can improve
the prediction of the VALUE of the primary Variable '
For example, better results in precipitation have been Reportecl interpolation by including Elevation
as an Adciitional Variable in Cokriging (Martinez Cob 1,996th). Can be Cokriging Cokliging Ordinary,
Universal Cokriging, and so on, depending on the
Kriging method that is Applied to each SET Data '.