4.6.6 Zero MeanTraverse

Basic Description: Zero Mean Traverse is used to remove “striping” effects that occur in the data.  Striping tends to occur when collecting data in a zigzag traverse pattern. It is usually needed for magnetic gradiometry data, but can be useful with other types as well.
Technical Details: The algorithm calculates the mean, median or mode of each traverse (row or column) and subtracts that value from all the samples in that traverse. The algorithm can also be applied perpendicular to the traverse direction.
Instructions: After choosing a selection method and making your selection on the survey, enter parameters in the following order (go to each section for details):
4.6.6 Zero MeanTraverse


1. Method
Choose which value to subtract from your traverse: mean, median, or mode. Often choosing median works best because it usually ignores outliers in the data and results in fewer processing artifacts. Mean will often create artifacts in the data.  If this is the case, the median option may be better suited.


2. Direction
Choose which direction to run the algorithm.
Choose along traverse to apply the operation in the direction of survey. The direction of survey is set when you import data. If it is wrong, just choose the other direction.
Choose across traverse to run the algorithm perpendicular to traverses.
If traverse information is missing from any files, the information in parentheses should be used. So for applying the operation in a North-South direction, choose "along traverse (or N-S if N/A).
Last Updated June 15, 2011