Fiche détaillée
| Id | 249 |
| Auteur | SHAKRA, Rasha |
| Titre | Modelling Violence risk and Individuals Micro-credit Behavior in Space and Time |
| Sous-titre | |
| Résumé | |
| Summary | The geocoded-incident analysis is a method widely used in criminology, epidemiology, and the study of natural disasters but its application in studying civil conflict violence remains scarce. This paper aims at bridging the gap by exploring different spatial statistical tools that are used to study cluster or hot spot patterns. It accommodates two databases on violence events that occurred during the Syria civil conflict between 2011 and 2018, and on the economic activities of individuals living in Syria for the same period. The paper takes advantage of the various tools provided by ArcGIS such as the Optimized Hot Spot Analysis and Time Space Cube. The results show that the trends of the hot spots are in parallel with the actual violence timeline and have the potential to establish spatiotemporal model to capture risk as well as interact with different socioeconomic and climatic factors. |
| Volee | 2020 |
| Soutenance | 2021-01-25 |
| Sujet | |
| Diffusion interdite |