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Spatial data are often gathered at the individual point level, structured as a set of coordinates coupled with a set of measurements. However, attempts to visualize point-level data usually fall into two categories: a scatter plot or some spatial binning technique such as a raster or choropleth diagram of data aggregates. The Voronoi diagram, a mathematical tool that partitions a plane into localized regions around observed points, can be used to create an alternative method for point-level data visualization. A Voronoi diagram is a nearest neighbor diagram: given a set of generator points, the Voronoi diagram creates nearest neighbor cells. Each cell is formed around one generator point, and the set of points closest to that generator is fully contained in its cell. The resulting diagram can be used to find the nearest generator for an arbitrary point or to interpolate the blank space around each generator to create a heatmap.

ggvoronoi: Voronoi Diagrams and Heatmaps with ggplot2