Using Kepler.gl to visualize weather data

Abstract

Observing the global climate is considered as the great challenge facing humankind in the 21st century. With the increase in the number of weather stations, a big data is being stored on a daily basis. This data can be applied for e ective analysis of weather and catastrophe forecasting. Correlations of diferent variables about processes and phenomena can show interesting climate behaviors, helping predictions. We understand that the visualization is a key point on weather research, however, the works that have been done in the area demanded a big structure and team to analyze the data and build the visualizations. Our goal is to present a data visualization application using Kepler.gl library, adding other tools as Mapbox, R scripts, and GeoJson. A case study was developed to show how to use our solution considering the use of temperature, humidity, precipitation, and solar radiation.