Multivariate Statistical Investigation of Climatic Changes for Northern & Southern Hemisphere

The climate of planet earth has been observed to be affected by various radicals such as pollution of air, water, and ground. As a result, it has become important to analyze the undergoing changes and act upon accordingly. The climatic changes can depend upon a vast number of parameters whose data can be modelled and analyzed to derive many significant inferences and comparison. However, it has been believed that the climatic changes are linear and equally spread throughout the planet; hence to clear this misconception, our study presents an analytical study to determine the climatic variation taking place in two different places which are located in different geographic hemispheres, i.e. New York City and Sydney. The study conducts Multivariate Statistical Analysis of multiple parameters of climate changes and compares the same for both the cities. The study uses multiple tools and 3D mapping using R programming of more than 14,000 Data sets of the period 1982–2019, the has been fetched using NASA Power LARC data extraction of historical Climate parameters. The study also presents ANOVA tests and other quantitative comparisons while considering various data sizes. In the end, the study tries to derive conclusive results using multiple statistical inferences.