Computes Effective Strip Width (ESW) for line-transect detection functions, or the analogous Effective Detection Radius (EDR) for point-transect detection functions.
effectiveDistance(object, newdata = NULL)If newdata is present, the returned value is
a vector of effective sampling distances associated with
covariate values in newdata. Length of return
in this case is the number of rows in newdata.
If newdata is NULL, the returned value is a vector
of effective sampling distances associated with covariate
values in object. Length of return in this case
is the number of detected groups. The returned vector
has measurement units, i.e., object$outputUnits.
An Rdistance model frame or fitted distance function,
normally produced by a call to dfuncEstim.
A data frame containing new values for
covariates at which either
ESW's or EDR's will be computed. If NULL and
object contains covariates, the
covariates stored in
object are used (like predict.lm).
If not NULL, covariate values in newdata
are used.
See Value section for more information.
Serves as a wrapper for
ESW and EDR.
Effective distances are areas under scaled distance functions (i.e., area under g(x)). Areas are exact for functions whose integral is known (e.g., negexp). Numeric integration is used for all others.
dfuncEstim,
ESW,
EDR,
integrateNumeric,
integrateNegexpLines