Figure 2

Converting the raw data for participant i into a suitable time series, \(\pmb{T_{i}^{\mathrm{bins}}}\) . After filtering we plot the data points onto a world map overlaid with square grid cells with side lengths Δs. This converts each data point into a location represented by a square grid cell and encoded by a symbol in \(T_{i}^{\mathrm{bins}}\). The location data is then resampled such that each bin in \(T_{i}^{\mathrm{bins}}\) corresponds to a time interval Δt. This mobility encoding is similar to that of earlier works and corresponds to the location in a sequence of time bins. We propose to look at a the sequence of locations instead.