TY - JOUR A1 - Gonschorek, Julia A1 - Langer, Anja A1 - Bernhardt, Benjamin A1 - Raebiger, Caroline T1 - Big Data in the Field of Civil Security Research: Approaches for the Visual Preprocessing of Fire Brigade Operations JF - Science N2 - This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challenge is seen in Big Data: enormous amounts of data that exist now (or can be collected in the future) and whose variables are linked to one another. These analyses and visualizations can form a basis for strategic, operational and tactical planning, as well as prevention measures. The user-centered (geo-) visualization of fire brigade data accessible to the general public is a scientific contribution to the research topic 'geovisual analytics and geographical profiling'. It may supplement antiquated methods such as the so-called pinmaps as well as the areas of engagement that are freehand constructions in GIS. Considering police work, there are already numerous scientific projects, publications, and software solutions designed to meet the specific requirements of Crime Analysis and Crime Mapping. By adapting and extending these methods and techniques, civil security research can be tailored to the needs of fire departments. In this paper, a selection of appropriate visualization methods will be presented and discussed. KW - Big Data KW - Civil Security KW - Explorative (Data-) Analysis KW - Geovisual Analytics KW - Visualization Y1 - 2016 U6 - https://doi.org/10.4018/IJAEIS.2016010104 SN - 1947-3192 SN - 1947-3206 VL - 7 SP - 54 EP - 64 PB - IGI Global CY - Hershey ER -