Spatial OnLine Analytical Processing Applied to Cities Security with Raster Data - A Case Study on Emergency Services of Brussels Agglomeration

摘要

Public institutions in charge of cities security are confronted to always more complex and voluminous data. In particular, georeferenced data can be extracted from many sources: mobile phones, social media, cars, security camera, satellite images, crowdsourcing, geography portals, etc. Uses of these data are various. For instance, it is very precious to firefighters in order to fairly distribute their resources (equipment and men) on the territory. These large spatial data sets (“Big Data”) require powerful tools for their extraction and their analysis. For this purpose, an original Spatial OnLine Analytical Processing (SOLAP) model is developed for emergency services. A case study involving firefighters and medical aids of Brussels is presented