Various functions called internally by secr and not exported.
boundarytoSF (poly)Dfn2(designD, beta = NULL, ...)
boundarytoSF
-- Spatial object of sf class sfc, containing
a geometry set of type POLYGON or MULTIPOLYGON. NULL input results in NULL output.
Dfn2
-- Vector of density values on the link scale, suitable for the internal array (mask x groups x sessions).
data to define one or more polygons
dataframe of density design data (output from D.designdata
)
numeric vector of beta values (see Details for NULL)
other arguments (not used)
The function boundarytoSF
converts various
possible polygon input formats to a standard form (sfc).
Possible inputs are:
Input | From | Note |
2-column matrix or dataframe | base R | SpatialPolygons |
sp | SpatialPolygonsDataFrame | sp |
SpatVector | terra | sf |
sf | geometry type POLYGON or MULTIPOLYGON | sfc |
sf | geometry type POLYGON or MULTIPOLYGON |
Matrix input defines a single polygon.
Dfn2
is supplied automatically as 'details' argument Dfn in
secr.fit
when the switch Dlambda is set to TRUE for the
multi-session trend reparameterization of density. Dfn2
uses beta = NULL to return the required number of density coefficients
(beta parameters) in the model.
Hijmans, R. J. (2022) terra: Spatial Data Analysis. R package version 1.5-14. https://rspatial.org/terra/
Pebesma, E. (2018) Simple features for R: standardized support for spatial vector data. The R Journal 10(1), 439--446. https://doi.org/10.32614/RJ-2018-009
Pebesma, E.J. and Bivand, R. S. (2005) Classes and methods for spatial data in R. R News 5(2), 9--13. https://cran.r-project.org/doc/Rnews/Rnews_2005-2.pdf.
pointsInPolygon
,
secr-spatialdata.pdf,
predictDlambda
,
secr-trend.pdf,
if (FALSE) {
poly <- cbind(x = c(0,6,6,0,0), y = c(0,0,6,6,0))
secr:::boundarytoSF(poly)
}
Run the code above in your browser using DataLab