poisint: NHPP intensity calculation in region
In david-borchers/LT2D: Line transect estimation in two dimensions

Description Usage Arguments Details Value Examples

Calculates NHPP intensity in given region, using given detection hazard and perp. dist. distribution.

1	poisint(y, x, ymin, ymax, hfun, b, pi.x, logphi, W, lscale = 1)

`y`	forward distances at which to calculate intensities (vector)
`x`	perpendicular distances at which to calculate intensities (must be same length as y).
`ymin`	smallest forward distance
`ymax`	largest forward distance
`hfun`	detection hazard function
`b`	vector of detection hazard function parameters
`pi.x`	perpendicular distance distribution function
`logphi`	vector with log of pi.x parameters
`W`	perpendicular truncation distance
`lscale`	output of `calc.lpars` (object of class “ppscale”)

Calculates survival model pdf of forward distance y, given perpendicular distance x (f(y|x).), multiplies this by the perpendicular distance pdf pi.x and then scales it by multiplying by lscale (in order to get some total intensity - typically that to generate some expected sample size). See calc.lpars for details of the scaling.

This function is called by rpoispp inside sim.n to generate samples from NHPPs.

NHPP intensities at all (x,y)s input.

## Not run: 
n=100;ymin=0.01;ymax=5;W=2
b=log(c(0.75,1));logphi=c(0.5,log(0.3))
nf=100
ys=seq(ymin,ymax,length=nf)
intscale=calc.lpars(n,ymin,ymax,W,h2,b,pi.norm,logphi)
f=poisint(ys,rep(0,nf),ymin=ymin,ymax=ymax,hfun=h2,b=b,pi.x=pi.norm,logphi=logphi,W=W,lscale=intscale$lscale)
plot(ys,f,type="l",xlab="Forward distance (y)",ylab="f(y)")

## End(Not run)