✨ Feature Request
The methods for filling missing points can take a long time when used to fill many, many missing data points (e.g. filling a continent rather than a coastline). In these circumstances, a floodfill or similar is likely to be a better approach to fill the bulk of the missing data.
Can we raise a warning or an error when the number of points being filled exceeds a threshold (e.g. if there's more than 1% missing data)?
Note that the KDTree and spiral search approaches would likely have different thresholds - so the threshold should be specific to the algorithm being used.