##### AM-29 - Kriging methods

- Describe the relationship between the semi-variogram and kriging
- Explain why it is important to have a good model of the semi-variogram in kriging
- Explain the concept of the kriging variance, and describe some of its shortcomings
- Explain how block-kriging and its variants can be used to combine data sets with different spatial resolution (support)
- Compare and contrast block-kriging with areal interpolation using proportional area weighting and dasymetric mapping
- Outline the basic kriging equations in their matrix formulation
- Conduct a spatial interpolation process using kriging from data description to final error map
- Explain why kriging is more suitable as an interpolation method in some applications than others

## AM-27 - Principles of semi-variogram construction