| Abstract [eng] |
The Cartographic Analysis of Socio-economic Phenomena that are likely Leading to Terrorism based on the example of African Countries Terrorism is an important 19th century phenomenon. Its prevalence around the world is inconsistent: the largest number of terror attacks occur in the regions of the Middle East, South West Asia, and Northern Africa. Therefore, this thesis will delve into and analyse the terrorist acts happening in the continent of Africa. Socio-economic factors are one of the most important in influencing terror attacks and their nature. Socio-economic indices such as population density, average income, majority religion, main exports, dominant industry, and average level of education have been used to analyse the dispersion of both terrorism and its nature in African countries. The data used has been selected from the original databases of The World Bank, the United Nations and CIA. Data on terrorism is constantly collected in the archives of the Center for the Study of Terrorism at the University of Maryland. Data included into the archive must match a variety of criteria and as a result is highly reliable. The thesis analyses the most common types of terrorism including armed attacks, homicide, bombing, hostage-taking, and non-armed attacks. Comparative analysis of the types of cartography is used to showcase these phenomena. The analysis covers the advantages as well as disadvantages of using different types of cartography to track terrorism attacks and discovering the best type of cartography for this purpose. Maps, which use the dot distribution method have been developed to display different types of terrorism as well as distinguish three main ranges of terrorism, namely the Mediterranean coast, the Sub-Saharan Africa, the Equatorial Africa, and Southeast Africa. Pie charts and the method of cartograms have been used to aid the development of the maps displaying types of terrorism and the socio-economic factors contributing to it. Ranges showing the prevalence of certain types of terrorism and their correlation to contributing socio-economic indices have been distinguished. Finally, coefficient is used to establish which countries have the highest index of population density, average income, and education to encourage terrorism. All the results have been displayed cartographically. The final part of the thesis provided conclusions related to the topic. Appendixes are provided. |
