Kriging is a geostatistical (geographically variable) method of interpolating data developed by Daniel Krige, in which variables are regionalized. The data provided is more accurate and provides a non-arbitrary interpolator for reserve estimation. A common tool used for communicating information is the semi-variogram.

Advantages of kriging as opposed to other interpolation algorithms:

• Helps to compensate for effects of data clustering (which is when you have a few clusters with big gaps in between)
• Allows for quantification of statistical confidence of results

Figure: Above is an example of kriging results. The discreet data was taken from shallow drillholes and then soil properties were estimated for all other points on the map.