2.2 ACC visualization
Prior to visualising the ACC data, the dataset needs to be sorted by behaviour using the order_acc function. For ACC data visualization, the rabc package uses function dygraph (from package dygraphs) to plot all ACC segments grouped by behaviour. This dynamic mode of presentation is convenient for users to zoom-in or scroll through behaviour segments. It provides the user a visual impression of how the ACC signal generally relates to the different behaviours and can also be used for data quality control (i.e. identifying potentially incorrect segments where ACC and behavioural data do not conform to the general pattern otherwise observed due to, for instance, incorrect behavioural observation). The x axis of this dygraph indicates the row sequence number (i.e. the segment number) of the sorted data.
Plotting the complete white stork ACC dataset using function plot_acc (Fig 2a) and next zooming in on the area around segments 55 to 80 (Fig 2b), it can be seen that the ACC data between segments 60 and 70 is very different from neighbouring segments. Albeit all being labelled as “A_FLIGHT”, the ACC data in this range resemble more static behaviours, warranting their scrutiny and, potentially, their relabelling or removal from the dataset.