  LiDAR devices obtain a 3D representation of a space. Due to the large size of
the resulting datasets, there already exist storage methods that use
compression and present some properties that resemble those of compact data
structures. Specifically, LAZ format allows accesses to a given datum or
portion of the data without having to decompress the whole dataset and provides
indexation of the stored data. However, LAZ format still have some drawbacks
that should be faced. In this work, we propose a new compact data structure for
the representation of a cloud of LiDAR points that supports efficient queries,
providing indexing capabilities that are superior to those of LAZ format.
