GAP

GAP provides global groundwater quality maps and information, plus a free GIS platform to visualize, share and spatially model groundwater contamination... Testing groundwater for contaminants such as arsenic or fluoride is time-consuming and costly. Prediction maps indicating the probability of encountering high contaminant concentrations can help in undertaking targeted drinking water surveys. ​... We have been developing innovative methods for producing such maps using machine learning with groundwater quality point data and geospatial predictor variables (e.g. geology, soil, climate) related to the processes of contaminant accumulation. Such maps have been created for various countries, for example, Burkina Faso, China, India, Pakistan and Vietnam, as well as at the global scale. ​

Also known as: GAP Maps