An Exploration of Emission Data Visualization in Southeast Asian Countries

In the field of study related to the environment and climate, the growing amount of knowledge is derived from emission data that presents new challenges for conducting visual context using the graphical technology. Data visualization is a useful technique for interpreting and displaying information as well as related meaningful insights. Additionally, data visualization plays an important role in showing the details that are hidden in such complicated data. This study presents an overview of the data used in GHG, $CO_{2}, CH_{4}$, and $N_{2}O$ emission data visualization as well as the findings of agricultural $CH_{4}$ and $N_{2}O$ emissions in eleven Southeast Asian (SEA) countries. This paper also explores emission data from eleven distinct SEA countries to demonstrate the potential of the Power BI tool. The findings show that Indonesia has the highest GHG, $CO_{2}, CH_{4}$, and $N_{2}O$ emissions, while Vietnam’s GHG and $CO_{2}$ emissions have increased considerably in the last few years. In addition, some SEA countries, such as Indonesia, Thailand, Vietnam, and Myanmar, have a significant portion of the global agricultural $CH_{4}$ and $N_{2}O$ emissions.