Spatial modelling for distance sampling data
Provides functions for fitting spatial models to line
transect sampling data and to estimate abundance within a
region.
R (>= 2.0.0), spatstat, RandomFields, gpclib, mgcv

R (>= 2.0.0), spatstat (>= 1.22-0), RandomFields, mgcv
'create.covariate.images.R' 'create.lines.r'
'create.points.by.offset.R' 'dist2line.R' 'dspat.R'
'integrate.intensity.R' 'internal.R' 'lgcp.correction.R'
'lines.to.strips.R' 'LTDataFrame.R' 'offset.points.R'
'project2line.R' 'quadscheme.lt.R' 'sample.points.R'
'simCovariates.r' 'simDSpat.r' 'simPts.r'
'transect.intensity.r' 'zzz.R'

Spatial Modelling for Distance Sampling Data
Fits inhomogeneous Poisson process spatial models
to line transect sampling data and provides estimate of
abundance within a region.
R (>= 2.0.0), spatstat (>= 1.22-0), RandomFields

You can retrieve 'Spotify' API Information such as artists, albums, tracks, features tracks, recommendations or related artists.
This package allows you to search all the information by name and also includes a distance based algorithm to find similar songs.
More information: <https://developer.spotify.com/documentation/web-api/> .

shapefiles, splancs, mrds, mgcv, methods
Performs distance sampling simulations. It repeatedly
generates instances of a user defined population within a given survey
region, generates realisations of a survey design (currently these must
be pre-generated using Distance software) and simulates the detection
process. The data are then analysed so that the results can be compared for
accuracy and precision across all replications. This will allow users to
select survey designs which will give them the best accuracy and precision
given their expectations about population distribution. Any uncertainty in
population distribution or population parameters can be included by running
the different survey designs for a number of different population
descriptions. An example simulation can be found in the help file
for make.simulation.
'generic.functions.R' 'Region.R' 'Detectability.R'
'Population.R' 'calc.poss.detect.dists.R'
'check.intersection.R' 'Class.Constructors.R' 'DDF.Data.R'
'Single.Obs.DDF.Data.R' 'DDF.Analysis.R' 'Density.R'
'DS.Analysis.R' 'DSM.Analysis.R' 'hn.detect.R' 'hr.detect.R'
'in.polygons.R' 'Line.Transect.R' 'Survey.Design.R'
'LT.Design.R' 'LT.EqSpace.ZZ.Design.R' 'LT.EqAngle.ZZ.Design.R'
'Survey.R' 'LT.Survey.R' 'Obs.Table.R'
'Population.Description.R' 'PT.Design.R' 'Region.Table.R'
'rename.duplicates.R' 'Sample.Table.R' 'simulate.detections.R'
'Single.Obs.LT.Survey.R' 'LT.Survey.Results.R' 'Simulation.R'
'coords.from.shapefile.R' 'is.gap.R' 'store.ddf.results.R'
'store.dht.results.R' 'add.summary.results.R'
'get.surface.constant.R' 'get.ave.density.R'
'get.surface.gam.R' 'single.simulation.loop.R'
'accumulate.PP.results.R' 'Simulation.Summary.R'
'generate.pop.D.R' 'generate.pop.N.R' 'calc.area.R'
'get.bound.box.R' 'get.shapefile.names.R' 'get.sampler.info.R'
'LT.Systematic.Design.R' 'LT.Random.Design.R'
'LT.User.Specified.Design.R' 'display.glossary.R'