make.ssDF: A function for creating a discretized state-space data object...

In jaroyle/oSCR: Multi-Session Sex-Structured Spatial Capture-Recapture Models

A function for creating a discretized state-space data object of class 'ssDF'.

Description

A function for creating a discretized state-space data object of class "ssDF". The object is a list of data frames, one dataframe for each session and each has columns "X", and "Y" which are pixel coordinates. The function generates session specific state-space objects which are created based on the session specific trap locations contained in the supplied 'scrFrame'. The buffer region and the resolution of the discrete surface are user specified. The function also allows random spatially referenced covariates to be added to the ssDF; either a continous, a categorical, "cont" and "fact", respectively, or both.

Usage

make.ssDF(scrFrame, buffer, res, cont.cov = F, fact.cov = F)

Arguments

scrFrame	An scrFrame which must be of class 'scrFrame'.
buffer	The required buffer distance. This should be in the units of the trap loaction coordinates.
res	The required resolution of the state space pixels. This should also be in the units of the trap loaction coordinates.
cont.cov	If TRUE, a random continuos covariate is returned with name "cont".
fact.cov	If TRUE, a random categorical covariate is returned with name "cont".

Details

TBA

Value

A list of dataframes. One dataframe per session. Each dataframe has at minimum an "X" and "Y", column which are pixel coordinates. If selected, continous ("cont") and/or categorical ("fact") covariates are added. The list is of class "ssDF""

Note

NA

Author(s)

Chris Sutherland

References

None

Examples

# simulate an scrFrame and create an associated ssDF object with no covariates:

ssDF <- make.ssDF(scrFrame=sf, buffer=2, res=0.25, cont.cov = F, fact.cov = F)

jaroyle/oSCR documentation built on Sept. 23, 2023, 12:46 p.m.