Occurrence Distribution
od
is a wrapper around ctmm::occurrence
. See help(ctmm::occurrence)
for more details. rolling_od
estimates occurrence distributions for a subset of a track.
rolling_od(x, ...) ## S3 method for class 'track_xyt' rolling_od( x, trast, model = fit_ctmm(x, "bm"), res.space = 10, res.time = 10, n.points = 5, show.progress = TRUE, ... ) od(x, ...) ## S3 method for class 'track_xyt' od(x, trast, model = fit_ctmm(x, "bm"), res.space = 10, res.time = 10, ...)
x |
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... |
Further arguments, none implemented. |
trast |
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model |
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res.space |
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res.time |
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n.points |
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show.progress |
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Fleming, C. H., Fagan, W. F., Mueller, T., Olson, K. A., Leimgruber, P., & Calabrese, J. M. (2016). Estimating where and how animals travel: an optimal framework for path reconstruction from autocorrelated tracking data. Ecology.
## Not run: data(deer) mini_deer <- deer[1:100, ] trast <- make_trast(mini_deer) md <- od(mini_deer, trast = trast) raster::plot(md) # rolling ud xx <- rolling_od(mini_deer, trast) ## End(Not run)
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