Identification of Factors Causing Deforestation Using Predictive Modelling

Abstract

Data driven decisions lead to optimization of the processes in any organization. Using cutting edge techniques modern analytics is able to provide refined and actionable results. Predictive modelling provides comprehensive understanding about the data and facilitates better decision making. Deforestation is one of the major concerns to all environmentalists and governing agencies. The current situation of natural resource as well as forest resources is very critical. Deforestation occurs due to various reasons and differ for different geographical locations. The dataset considered has multi-dimensional in nature and covers 264 countries and has 113 parameters. This paper tries to identify the major factors which are influencing deforestation across the globe and categorize it for various continents.