Description Usage Arguments Value References Examples
This function creates spatial chronogram plots to visualize passive acoustic telemetry data. Spatial chronogram plots represent the receivers with the largest number of receptions within predefined time intervals (e.g. 30 min) in each day of the tracking period. They are an effective way to visualize, on a fine temporal scale, presences and absences of an individual among different zones of the receiver array.
1 2 3 |
rec.id |
vector with the ID codes of the receivers for each detection. |
time.stamp |
vector with the date and time of each detection in
|
time.int |
Time interval for the Y axis of the plot as given to the
|
colors |
optional |
include.all.rec |
logical, if |
palette |
if |
xlim |
minimum and maximum date limits for the X axis, in |
xaxs, yaxs, scale |
Logical arguments to plot (if |
cex.lab |
the magnification to be used for the labels of the scale bar. |
The funtion makes a spatial chronogram plot.
Aspillaga, E., F. Bartumeus, C. Linares, R.M. Starr, À. López-Sanz, D. Díaz, M. Zabala, and B. Hereu. 2016. Ordinary and extraordinary movement behaviour of small resident fish within a Mediterranean marine protected area. PLoS ONE, 11: e0159813.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## Not run:
data(tracking)
tracking$rec.id <- factor(tracking$rec.id)
tracking <- split(tracking, tracking$tag.id)
par(mfrow = c(2, 1), mar = c(3.1, 4.1, 2.1, 4.1))
spatChronPlot(rec.id = tracking[[1]]$rec.id,
time.stamp = tracking[[1]]$time.stamp)
title(main = names(tracking)[1])
spatChronPlot(rec.id = tracking[[2]]$rec.id,
time.stamp = tracking[[2]]$time.stamp)
title(main = names(tracking)[1])
## End(Not run)
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