Data Preparation¶
The workflow does not directly incorporate data preparation options; such preparations must be performed beforehand. Effective data preparation might involve replacing missing values with specific estimates, performing interpolations, calculating distances to geological features, or creating geochemical indices. This process demands geological expertise and is essential for achieving reliable outcomes.
Additionally, this phase encompasses data augmentation, which entails generating new, relevant layers of data. The careful preparation and enhancement of data are fundamental steps that significantly contribute to the robustness and accuracy of the results obtained from the workflow.
No-Data-Values¶
The current version of the application does not handle missing values. This task should be addressed upstream, within Geoscience ANALYST.
Initially, to guarantee that all points are eligible for prediction, missing values in the target data should be replaced with specific values. This ensures that the model can make predictions for all points. To accomplish this in Geoscience ANALYST select the target data, right-click on it, and choose ‘replace no data value’ (A. on Figure 2). A panel will open. Select a value to replace the missing values (e.g., 0 ; B. on Figure 2).

Figure 2 Change the No-Data values of the target.¶
Data Augmentation¶
Data augmentation to obtain new data layers can be conducted in Geoscience ANALYST. The distance to specific objects, like faults, can be computed using the Calculate Distance Between Object
option, available by right-clicking on the selected object. Geophysical data can be transferred using the Utilities
/Transfer Data
tool. Lastly, new layers, like mineral alteration indices, can be calculated using the Script
utility available when right-clicking on the desired object.