In this paper, we attempt to analyse and compare the magnitudes of destruction caused by natural disasters versus socio-economic-political disasters around the world. To do so, we deploy a multi-disciplinary approach that encompasses history, politics, sociology, and economics (Ruiz Estrada, 2011 and 2017). In the methodological discussion, we propose using quantitative and qualitative methods simultaneously to systematically evaluate different type of disasters. In this context, we propose a new analytical tool: “The General Disasters Final Impact Simulator” (GDFI-Simulator). Finally, we apply the GDFI-Simulator to Africa, America, Asia, Europe and Oceania in the 19th and 20th centuries.

The idea to write this research paper is to introduce a new multidimensional graphical approach to visualize a large number of integrals behavior in different periods of time and spaces under the application of the Megasfinity Coordinate Space. The Megasfinity Coordinate Space is willing to mapping a large number of integrals in different dimensions and periods of time extensively in the same graphical space as a whole.

The Googlekonomia is an alternative economic research technique that focuses on searching the best and easy access to a large number of economic database and documents from different sources on the internet. The main objective of Googlekonomia is the technical evaluation of trustworthy economic database and documents from different websites and search engines. Subsequently, the Googlekonomia is able to monitoring, evaluating, and classifying a large number of economic database and documents to study and solve possible economic problems. Finally, the Googlekonomia evaluates a large number of possible economic database and documents access in the internet sources and search engines based on the uses of artificial intelligence and a real-time multi-dimensional graphical modeling approach together.

The Coffeeconomics index is an alternative index to evaluate the Coffee market structure behaviour from a microeconomic and macroeconomic perspective. Hence, the coffee market structure is formed by the interaction of four large players such as coffee producers (small, cooperatives, and large), coffee brokers, coffee sellers (large, medium, and small), and coffee consumers. The main objective is to evaluate the vulnerabilities of the coffee market structure as a whole through the application of the National Coffee Production Function (NCP-Function). Finally, we calculate the NCP-Function to evaluate the risk and vulnerability of the coffee market structure of Guatemala between 1928 and 2018 respectively.