lxy.plot.pt2ctr: Plot distance to centroid over time
In tlocoh: Constructs homeranges and explores time use patterns from location data

Description Usage Arguments Note See Also

Produces a plot of the distance of each point to the centroid over time to see 'natural' periodicities in the data

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lxy.plot.pt2ctr(lxy, id = NULL, idx = NULL, vline = NULL,
  vline.trunc.units.to = c("secs", "mins", "hours", "days")[4],
  figs.per.page = NULL, ...)

`lxy`	A LoCoH-xy object
`id`	The id value(s) to include on the plot
`idx`	An optional vector of indices of points that the plot will be restricted to. See notes
`vline`	An interval of time (in seconds) for the vertical grid lines
`vline.trunc.units.to`	A character value: "secs", "mins", "hours", or "days". Determines where the first vertical grid lines will appear
`figs.per.page`	The number of figures per page
`...`	Additional parameters that will be passed to the `plot` function

The purpose of this graph is to help see the 'natural' movement cycles in a dataset, when no a priori information exists that helps identify the time scale of interest. In T-locoh, defining the timescale of interest helps to select a value for s.

To 'zoom in' to a section of the timeline, pass a value for idx. For example, if there are 5000 points in the dataset

If a value is passed for vline, the first vertical line will coincide with a multiple of vline.trunc.units.to. For example, if vline=3600*24(24 hours), and vline.trunc.units.to="days", the first vertical line will be the beginning of a day regardless of when the point series started. This can be helpful for seeing cycles of a specific frequency.

lxy.plot.sfinder

tlocoh documentation built on May 2, 2019, 5:27 p.m.