Local Kriging Neighbourhood Optimisation (LKNO) and Local Top-cutting are both included in the new release of Supervisor (v8.11),
Local Kriging Neighbourhood Optimisation (LKNO) is an alternative approach to optimising estimation parameters.
Snowden is pleased to announce the release of Supervisor (v126.96.36.199), which includes minor patches to a few known issues.
Snowden is pleased to announce the latest release of Supervisor (v8.9.0). This release includes enhancements to the contact analysis feature, flexible licence management capabilities, access to our knowledge base and support desk directly through Supervisor. It also includes a significant performance boost to KNA processing, decreasing processing times by up to 60% in some cases.
The latest version of Snowden’s Geostatistical software, Supervisor, is now available. Version 8.8.2 is a minor release containing several user-requested enhancements, including the ability to export multiple variogram models in a generic format, adjust font sizes in box & whisker charts and automatically position the legend in model validation plots to avoid overlap.
The new update of Supervisor (Version 8.8) is is now available and includes two new features, a contact analysis tool and rotation of model validation trend plots.
Block size is one of the most important parameters when generating your block model as it impacts the quality of the grade estimate. How do you decide what block size to use – and what about the other estimation parameters such as number of samples used to estimate the grade of a block?
Variography merges the science of data comparison, the intuition of geology and the art of modelling to communicate a geologist’s understanding of grade continuity.
A sound geological interpretation is the corner stone of a good resource estimate. For resource estimation, the underlying assumption is that the data being used is from a domain with stationarity.
This latest Supervisor release will allow you to assess the variability of the KNA results throughout all blocks in a domain.
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