The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
topdowntimeratio: Top-Down Time Ratio Segmentation for Coordinate Trajectories
Data collected on movement behavior is often in the form of time-
stamped latitude/longitude coordinates sampled from the underlying movement
behavior. These data can be compressed into a set of segments via the Top-
Down Time Ratio Segmentation method described in Meratnia and de By (2004)
<doi:10.1007/978-3-540-24741-8_44> which, with some loss of information,
can both reduce the size of the data as well as provide corrective smoothing
mechanisms to help reduce the impact of measurement error. This is an
improvement on the well-known Douglas-Peucker algorithm for segmentation
that operates not on the basis of perpendicular distances. Top-Down Time
Ratio segmentation allows for disparate sampling time intervals by
calculating the distance between locations and segments with respect to
time. Provided a trajectory with timestamps, tdtr() returns a set of straight-
line segments that can represent the full trajectory. McCool, Lugtig,
and Schouten (2022) <doi:10.1007/s11116-022-10328-2> describe this method as
implemented here in more detail.
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=topdowntimeratio
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
[aut, cre]