activity: Animal activity statistics
In activity: Animal Activity Statistics
activity R Documentation
Animal activity statistics
Description
Provides functions to estimate and compare activity parameters from sensor data.
Details
Sensors that record active animals (eg camera traps) build up a record of
the distribution of activity over the course of the day. Records are more frequent
when animals are more active, and less frequent or absent when animals are inactive.
The area under the distribution of records thus contains information on the overall
level of activity in a sampled population. This package provides tools for plotting
activity distributions, quantifying the overall level of activity with error, and
statistically comparing distributions through bootstrapping.
The core function is fitact, which creates an actmod object containing
the circular kernel PDF, and the activity level estimate derived from this. The
generic plot function for actmod objects plots the distribution. Functions
starting with compare make statistical comparisons between distributions or
activity estimates. Note that all time or other circular data should be in radians
(in the range 0 to 2*pi).
References
Rowcliffe, M., Kays, R., Kranstauber, B., Carbone, C., Jansen, P.A. (2014) Quantifying animal activity level using camera trap data. Methods in Ecology and Evolution.
activity documentation built on Sept. 27, 2023, 9:08 a.m.
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| activity | R Documentation |
Animal activity statistics
Description
Provides functions to estimate and compare activity parameters from sensor data.
Details
Sensors that record active animals (eg camera traps) build up a record of the distribution of activity over the course of the day. Records are more frequent when animals are more active, and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled population. This package provides tools for plotting activity distributions, quantifying the overall level of activity with error, and statistically comparing distributions through bootstrapping.
The core function is fitact, which creates an actmod object containing
the circular kernel PDF, and the activity level estimate derived from this. The
generic plot function for actmod objects plots the distribution. Functions
starting with compare make statistical comparisons between distributions or
activity estimates. Note that all time or other circular data should be in radians
(in the range 0 to 2*pi).
References
Rowcliffe, M., Kays, R., Kranstauber, B., Carbone, C., Jansen, P.A. (2014) Quantifying animal activity level using camera trap data. Methods in Ecology and Evolution.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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