Local Kriging Neighbourhood Optimisation

Local Kriging Neighbourhood Optimisation (LKNO) is an alternative approach to optimising estimation parameters.

Note: LKNO components can only be inserted beneath a domain for data that is grouped as Assay/Domain. See Insert a Component.

The purpose of LKNO is to find the best possible combination of parameters for each block in a block model. LKNO eliminates the need for analysis of best parameter selection for each domain, and instead provides an estimate for each block based on what is appropriate for that block.

The LKNO approach is to define a suitable range of settings for each for the search parameters. The kriging estimate is run using each parameter set. If the kriging efficiency and/or slope of regression and/or sum of negative weights for a particular block is greater than the previous one then the relevant estimated grade and other variables are updated accordingly. Every block in the resultant grade model is based on the best combination of search parameters.