Interactive Exploration of Large Quantity of Multidimensional Data
Christophe Hurter (DTI R&D)
When displaying thousands of aircraft trajectories on a screen, the
visualization is spoiled by a tangle of trails. The visual analysis is
therefore difficult, especially if a specific class of trajectories in an
erroneous dataset has to be studied. We designed two 3D interaction
techniques to dig into multidimensional datasets: FromDaDy and Moleview.
FromDaDy is a trajectory visualization tool that tackles the difficulties of
exploring the visualization of multiple trails. This multidimensional data
exploration is based on scatterplots, brushing, pick and drop, juxtaposed
views and rapid visual design. Through two real-world scenarios, we show how
FromDaDy supports iterative queries and the extraction of trajectories in a
dataset that contains up to 5 million datapoints.
Moleview is a new type of semantic lens which selects a specific spatial and
attribute-related data range. The lens keeps the selected data in focus
unchanged and continuously deforms the data out of the selection range in
order to maintain the context around the focus. Moleview is simple to
implement and provides real-time performance on large datasets. We
demonstrate Moleview with data from air and road traffic control, medical
imaging, and software comprehension applications.