Final answer:
Cokriging is a geostatistical technique that combines data from correlated variables to improve spatial predictions. Regular kriging only uses the spatial correlation of the variable of interest.
Step-by-step explanation:
Cokriging is a geostatistical technique that combines data from two or more correlated variables to improve the accuracy of spatial predictions. It is a generalization of kriging that takes into account the spatial correlation between the variable of interest and one or more secondary variables. Regular kriging, on the other hand, only uses the spatial correlation of the variable of interest.
For example, if you are trying to predict the concentration of a pollutant in a specific location, cokriging can incorporate additional variables like soil type or elevation to enhance the prediction. This is especially useful when the variable of interest has a weak spatial correlation but is strongly correlated with other variables.