Bibliometric Analysis of the Importance of Statistics and Stochastic Models in Flood Prevention for Colombia

Abstract

This documentary research and from a bibliometric analysis seeks to analyze the trends related to risk prevention in flood zones for Colombia in a national and international context based on the information reported by Scopus between 2000 and 2023. 292 documents were analyzed, including articles, books and book chapters using VOSviewer software. The units of analysis used were the KeyWords Plus (KW+) keywords, from which bibliometric maps were created applying a methodology based on co-word analysis, grouping techniques and visualization techniques, as well as the analytics provided by the database. The results obtained show four clusters: Stochastic systems, climate change, disaster risks, environmental risks, showing that Colombia requires studies based on statistical data for the regions that are complemented with stochastic models with which policies can be developed. prevention in risk areas for the prevention of disasters generated by natural phenomena such as floods.