Weather data are a good example of datasets for visualization experiments. They are temporal, spatialized and understandable by everyone. This type of datasets are rich but the number of dimension can make them difficult to visualize if we want to consider all their characteristics. This is an exploration of possible visualizations that can be considered, depending on the combinations of informations we want to highlight.
Depending on which location you are interested, weather data or more or less accessible. For United States it’s pretty easy, because the data or freely accessible. Climate Data Online (CDO) provides free access to NCDC’s archive of global historical weather and climate data. Just make a request on NCDC-NOAA website that give an access to a very large weather database. These data include daily, monthly, seasonal, and yearly measurements of temperature, precipitation, wind…
Visualizing the data
Below, a first attempt to visualize the minimum and maximum daily temperatures, precipitation and snowfall, for the years 1984 to 2015, at JFK International Airport, New York.
Visualization of minimum (blue) and maximum (red) daily temperatures, precipitation (gray) and snowfall (black), for the years 1984 to 2015, at JFK International Airport, New York. The x-axis corresponds to a period of one year with a daily time step.