data.table, geojsonio, graphics, grDevices, jsonlite,
maptools, methods, plotfunctions, raster, rgbif, rgeos,
rworldmap, sp, stats

A Method to Estimate the Accuracy and Biogeographical Status of
Georeferenced Biological Data
c(person("Eduardo", "Arlé", email = "eduardo.arle@idiv.de", role = c("aut", "cre")),
person("Alexander","Zizka",email = "alexaner.zizka@idiv.de", role = "aut"),
person("Patrick","Weigelt",email = "weigelt.patrick@gmail.com", role = "ctb"),
person("Sam","Levin",email = "sam.levin@idiv.de", role = "ctb"),
person("Carsten","Meyer",email = "carsten.meyer@idiv.de", role = "ths"))
Eduardo Arlé [aut, cre],
Alexander Zizka [aut],
Patrick Weigelt [ctb],
Sam Levin [ctb],
Carsten Meyer [ths]

data.table, geojsonio, graphics, grDevices, jsonlite,
maptools, methods, plotfunctions, raster, rgbif, rgdal, rgeos,
rworldmap, sp, stats

A collection of functions to analyse, visualize and
interpret wind data and to calculate the potential energy
production of wind turbines.
R (>= 2.14.2), OpenStreetMap, RColorBrewer, XML

A collection of functions to analyse, visualize and interpret wind data
and to calculate the potential energy production of wind turbines.

graphics, grDevices, lubridate, stats, utils

Peter Solymos [aut, cre] (<https://orcid.org/0000-0001-7337-1740>)
A highly scientific and utterly addictive
bird point count simulator
to test statistical assumptions, aid survey design,
and have fun while doing it.
The simulations follow time-removal and distance sampling models
based on Matsuoka et al. (2012) <doi:10.1525/auk.2012.11190>,
Solymos et al. (2013) <doi:10.1111/2041-210X.12106>,
and Solymos et al. (2018) <doi:10.1650/CONDOR-18-32.1>,
and sound attenuation experiments by
Yip et al. (2017) <doi:10.1650/CONDOR-16-93.1>.

Alencar Xavier, William Muir, Katy Rainey.
Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques (Bagging and Bootstrapping) and polygenic term with reduced of dimensionality.

Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques (Bagging and Bootstrapping) and polygenic term with reduced dimensionality.