The R software (version 4.1.2) and the packages "devtools" and GitHub ("ProcessMiner/nlcor") were used for the analyses in this study. The R package ggplot2 was utilised to generate the diagrams in the study. The following section of the report contains all scriptable R codes for the analyses performed in this investigation. We began by importing NetCDF as an NC file and converted it to CSV format. This is to improve the compatibility and ease in opening and manipulating CSV files in RStudio using the R programming language.

    2.5 Statistical Method and Data Analysis

A statistical summary, including the minimum value, maximum value, quartiles, median and mean, was performed, allowing for trend comparison across all locations. The inter quartile range (IQR) was also calculated, providing a confidence interval for 50% of distributed data. Annual temperature follows a normal distribution. A Shapiro Wilk test was used to test the null hypothesis that temperature data is also normally distributed in our sample data for September. Contrary to expectation, the p-value was not insignificant, and so it was accepted that the data was more likely not to be normally distributed.