摘要:Aftershock point cloud data provide direct evidence forthe characteristics of underground faults. However, there has been a dearthof studies using state-of-the-art visual analytics methods to explore thedata. In this paper, we present a novel interactive visual analysis approachfor visualizing the aftershock point cloud. Our method employs a variety ofinteractive operations, rapid visual computing functions, flexible displaymodes, and various filtering approaches to present and explore the desiredinformation for the fault geometry and aftershock dynamics. The case studyconducted for the 2016 Central Italy earthquake sequence shows that theproposed approach can facilitate the discovery of the geometry of the fourmain fault segments and three secondary fault segments. It can also clearlyreveal the spatiotemporal evolution of the aftershocks, helping to find thefluid-driven mechanism of this sequence. An open-source prototype systembased on the approach is also developed and is freely available.