- If data does not contain more than 800 points use GLOBAL with minimal averaging.
- If data is noisy and contains more than 800 points but less than a few thousand, use GLOBAL which will pre-average the dataset to reduce the number of points.
- If there are more than 10,000 points, use WEIGHTED RE-SAMPLING unless you know the data is clustered and has no noise.
- In all other cases, use CLUSTERED unless you know there is no noise and you intend to select a grid interval that is smaller than the closest point spacing. In these cases, use RANDOM.