ADSA stands for Advanced Data Systems Analysis and is an algorithm that was originally developed by Remi Mollicone, Ing and Giovanni Feverati, PhD.
Here, we demonstrate the effectiveness of the Advanced Data System Analysis in reproducing the countries’ rank in the number of natural disasters based on a set of environmental and socio-economic parameters, also providing the contribution of each parameter to the rank. We show the relative similarity or dissimilarity of countries face to natural disasters, by different methods, as dendrograms and interaction networks. The case study is based on the dataset provided by Université catholique de Louvain (see references).
The societies and the insurance companies experience an impressive growth of the expenses to cover damages of natural disasters. While this is partially a consequence of a more complete information report, still the evolution of costs and risks affects the economies of the countries and the insurance business.
We apply our methods to a dataset containing time series of several variables taken from various public data banks1. With these variables, we can reproduce the number of natural disasters rank of the countries, to a 82 % of precision.