transect.intensity: Compute expected and observed counts by distance within transect
Description
Computes the expected and observed counts for equally-spaced bins of perpendincular distance within
each transect. Expected and observed counts are each a matrix with a row for each transect and a column for each
distance bin.
Usage
transect.intensity(x, epsvu=NULL, obs.ppp, covariates, nclass=NULL, width)
Arguments
epsvu
epsvu setting for fitted model; only uses epsvu[2] value for u
obs.ppp
observation point process
covariates
dataframe of covariates at quadrature points
nclass
number of equally-spaced distance intervals within 0-width/2
width
maximum full transect width over all transects
Value
- exp.counts
- matrix of expected counts in each distance bin (columns)
for each transect (row)
- obs.counts
- matrix of observed counts in each distance bin (columns)
for each transect (row)
Details
The actual number of distance bins will only match nclass if it is selected
such that nclass*epsvu[2] is an even multiple of width/2. The
function dspat adjusts epsvu[2] such that it is an even
multiple of width/2 and this function assumes that condition holds.
Sometimes your choice of epsvu[2] will provide less than optimal choices
for nclass and in some cases it can only choose a single bin. In these cases,
select another value of epsvu[2] which is a multiple for width/2.If nclass is not specified then it uses the default of ceiling(sqrt(n))
intervals.