## 4 Results and Discussion
The platform integrates gamma radiation data from the Portuguese National Energy and Geology Laboratory (LNEG) for assessing radon potential based on geographical location ([[https://geoportal.neg.pt/mapa/?mapa=CartaRadiometrica](https://geoportal.neg.pt/mapa/?mapa=CartaRadiometrica)]([https://geoportal.neg.pt/mapa/?mapa=CartaRadiometrica](https://geoportal.neg.pt/mapa/?mapa=CartaRadiometrica)), accessed on 20 September 2021). The PostgreSQL database stores historic radon measurements and the corresponding relevant building characteristics. The radon potential classification engine combines these data with the information about the building constructive parameters and occupation schedules provided by the user to estimate the radon potential level. The platform is designed to collect the radon measurements data from the users who follow the recommendation to assess in situ indoor radon concentrations. New in situ measurements and the corresponding building constructive parameters are stored in the database and will be used to tune the classification model. Figure 4 shows a snapshot of the WebGIS platform built according to the model described in Figures 1-3, and which is still under testing with differentiated users. The main dashboard presented in Figure 4a shows the friendly user interface, where users, even if without specialized knowledge on the subject, can search for a specific address, for example of their homes, or by zooming and clicking on a specific location in a map, or even, by entering the geographic coordinates of that location, to obtain information about the radon occurrence potential, as well as about the geological characteristics from that same location. The results regarding the potential for the occurrence of radon are presented in the format shown in Figure 4b, through qualitative information arranged in three levels of colors, respectively, for LOW potential, with the use of the green color; for MEDIUM potential, with the use of the yellow color; and HIGH potential, with the use of the red color. The result is presented as a smaller scale, the administrative-territorial division at a parish level. The maximum value registered at any point of the territory is assigned to the entire parish, thus enhancing false positives to the detriment of false negatives. As next steps in the development of this platform, constructive parameters are included in order to build the radon potential classification engine, such as the type of building materials used, architectural aspects (existence of pavement garnet, total number of floors, existence of basements or walls laying directly on the geological massif, types of insulation, among  
Figure 3: Radon potential evaluation platform designed by using a high-level architecture. others considered relevant), indoor spaces occupancy rate and the existence of ventilation systems in buildings, as a way to allow an assessment of the potential for the occurrence of indoor radon not attributable to geogenic parameters, and which as the main measure, or immediate action, will present the recommendation to measure the evaluation of the indoor radon concentration by specialists, who can confirm the potential of occurrence, or proceed with its screening.