A semivariogram map is an essential tool in geostatistics for visually assessing spatial correlation and variability between sample points. It helps determine whether points that are closer together are more similar than those that are further apart. By interpreting this map, you can gain insights into how the grade varies across a deposit. In kriging-based analysis, the semivariogram map plays a crucial role in predicting unknown values from known sample points. It achieves this by modeling the spatial correlation between data points. The semivariogram describes the degree of similarity between neighboring locations, which is then utilized in kriging algorithms to interpolate values at unsampled locations.
When you run the Semivariogram Map tool, you will generate three different maps (Strike, Dip, and Pitch) that represent the ellipsoid axes. These maps can be viewed together or individually.
Black cells within the map indicate areas with no samples in that direction. Using the chart controls, you can adjust the values you initially entered, including overlap, bandwidth, and number of samples. To apply these changes, you need to use "Calculate True” bottom.
You can add directions to generate an experimental variogram alongside the map, which can be very helpful. Clicking on each direction on the map will highlight the corresponding one on the chart. You can experiment as needed and delete any directions, whether all at once or selectively.
Additionally, you can switch between different variogram types, including Normal Scores Variogram, without having to rerun the form.
After finding all three directions, make sure to save your parameters by creating a new control file.
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