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.