The latest release of Turf includes powerful
new functions to aggregate dense point data into grids & heatmaps.
In this example, I aggregated and classified hail data for
1955 to 2013 and created an animated map using
Try selecting the various visualizations using the buttons across the top.
Hexagonal bins in particular
are of interest because they often avoid false pattern recognition
associated with square bins. In the same article, Johnson also
succinctly describes the benefit of binning:
For the user, showing every single point can lead to cognitive overload,
and may even be inaccurate, as overlapping points lead to a misreading of density.
Used properly, heatmaps and grids provide a simple way to visualize massive
point datasets so they are easier to grasp. Turf enables apps like this with
nothing more than an interesting dataset and a few lines of code.