Insights and Visualizations for Climate Understanding
This project utilizes R programming and libraries such as tidyverse and ggplot2 to analyze NASA datasets on global surface temperature anomalies.
It explores temperature trends across regions and seasons, encompassing global, Northern Hemisphere, Southern Hemisphere, and zonal anomalies through preprocessing and visualization techniques including boxplots, heatmaps, and geographical maps, the project identifies trends and patterns in temperature anomalies.
By comparing hemispheres, examining seasonal variations, and assessing standard deviations across latitudinal zones, the analysis enhances understanding of climate change impacts on global temperatures.
The project’s visualizations and analyses contribute valuable insights to the discourse on climate change, aiding researchers, policymakers, and the public in addressing environmental challenges.