DeadCanMove-package: Assess How Spatial Roadkill Patterns Change with Temporal...

In AMBarbosa/DeadCanMove: Assess How Spatial Roadkill Patterns Change with Temporal Sampling Scheme

Description

From a baseline data frame of dead individuals recorded daily at different road stretches, simulate varying sub-sampling schemes, calculate and compare roadkill patterns and hotspots based on each sampling scheme.

Details

Package:	DeadCanMove
Type:	Package
Version:	0.5
Date:	2017-03-28
License:	GPL-3

Author(s)

Barbosa A.M., Marques J.T., Santos S.M., Lourenco A., Medinas D., Beja P., Mira A.

Maintainer: A. Marcia Barbosa <[e-mail]>

References

Santos S.M., Marques J.T., Lourenco A., Medinas D., Barbosa A.M., Beja P., Mira A. (2015) Sampling effects on the identification of roadkill hotspots: implications for survey design. Journal of Environmental Management, 162: 87-95 (DOI: 10.1016/j.jenvman.2015.07.037)

See Also

carcass

Examples

data(roadkills)

hc <- hotspots.comparison(dataset = roadkills,
sampl.columns = 4:ncol(roadkills), sampl.intervals = 1:5,
region.column = "segment", group.column = "taxon", 
include.all.together = TRUE, confidence = 0.95, 
min.total.events = 80, min.hotspot.threshold = 2,
comp.method = "Phi", plot = TRUE, sep.plots = FALSE,
omit.baseline.interval = TRUE, ylim = c(0, 1))

hc

AMBarbosa/DeadCanMove documentation built on Nov. 3, 2021, 10:03 a.m.