Geovisualization Developer's Guide

Alpha Mask by Density

The alpha mask by density feature applies an alpha mask according to the contributing data's density, in effect a Kernel Density Estimation (KDE). It is helpful when visualizing an averaged heat map. With an alpha mask by density you can highlight the origins with a high number of contributors.

This concept is comparable to the prediction standard error surface in geostatistics.

The alpha value is used together with the averaged value in a bivariate color scale, where calculated data points become more transparent the fewer of them and the farther away they are from their input samples.

The image below shows a heat map with and without an applied density mask:

Figure 1. Heat map with and without alpha mask by density

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