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Managing and Stylizing Drill Hole Data

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bsomps edited this page Dec 5, 2024 · 40 revisions

Stylizing Based on Attribute

The Manage Drill Holes function works by accessing the all the custom properties of objects within a collections (this includes all sub-collections within a master collection) By doing this, you can pick and choose which drill holes you want to stylize by moving them around into collections as you see fit. In general, you will mostly be using the Drill Hole Collection that is brought in via the Import Drill Holes function. From here, you can stylize both numerical and categorical interval data.

1. Under Drilling click the drop down arrow for Manage Drill Holes

2. Choose the collection holding your drill hole data (This will be called Drill Hole Collection if it has not been renamed)

3. Choose the attribute you would like to plot from the populated list. This list will contain every column from the CSV you used to import the drill holes.

4. Select a color map. note the color map options will adjust based on weather your selected column is numerical or categorical.

5. Choose a desired size (circumference of the cylinders along the drill trace). This defaults to '5' which is generally a good place to start.

6. Utilize the optional check boxes:

  • Normalize color mapping (numerical data):

    • This method uses the Interquartile Range (IQR) which adjusts the color mapping range based on the middle 50% of the data.
    • Bounds are calculated as:
      • Lower Bound = Q1 - (scaling_factor × IQR)
      • Upper Bound = Q3 + (scaling_factor × IQR)
    • This Focuses the color gradient on core data trends without excluding any values, making subtle differences more recognizable.
    • Increasing the Scaling Factor will increase the upper the lower bounds of the data range, thus creating a color map where outliers are highlighted more

  • Log Scale Sizing (numerical data):

    • This method will dynamically size the data points (curve objects) along a log scale or linear scale based on the values. Bigger values get bigger sizes.
      1. Select an attribute to apply the sizing to
      1. Switch to a linear scale is desired
      1. Using the scaling factor to size op or down the entire group.

  • Contacts to points (categorical data)

    • When this option is applied, it will generate a disc object along the lower contacts of contrasting categorical values. This means if you have 10 objects called 'sandstone' all adjacent to each other, it will only create the disc when it encounters a different value (ie mudstone)
    • These disc objects will appear in your scene and as a collection in your outliner. They include the name (copied over) as well as fields for azimuth, dip and polarity as custom properties.

  • Legend

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