 Geographic masking is a technique used to protect the privacy of individuals by obscuring their exact location. It involves adding noise to the coordinates of an individual's address so that they cannot be identified from the map. There are several different types of masking algorithms, each with its own advantages and disadvantages. The most common type of masking algorithm is random perturbation, which adds noise to the coordinates in a systematic way. Other algorithms include KD trees, which add noise based on the distance between the point and the nearest neighbor, and grid-based algorithms, which add noise based on the size of the grid cell containing the point. Each algorithm has its own advantages and disadvantages, but all aim to protect the privacy of individuals while still allowing for meaningful analysis of the data. This article was authored by Paul A. Zanburgen.