Clandestine graves are an expression of extreme violence whose findings have increased in Mexico in recent years. In this paper we use two concepts already studied: spatial clustering and clandestine space and integrate them into a spatial model within a web application, with the aim of improving the previous model by reducing the areas with the highest probability of finding more clandestine graves in Baja California (BC), based on information from 52 grave points already located by the local attorney general’s office. The results confirm that, by incorporating the analysis of point patterns, the search area is substantially reduced (\({<}10\%\)). The model ensures that the final search areas will be within practical distances from most urban settlements, 39 min in the case of BC.