Predicting crime in Bogota using Kernel warping

Predicting crime is fundamental for an efficient use of the currently allocated police force resources. Using a kernel warping methodology developed by Zhou and Mattenson (2016) to predict ambulance demand in Melbourne, we predict crime in Bogota, Colombia. Exploiting the geometry of the city, this...