Package: sampbias 2.0.0

sampbias: Evaluating Geographic Sampling Bias in Biological Collections

Evaluating the biasing impact of geographic features such as airports, cities, roads, rivers in datasets of coordinates based biological collection datasets, by Bayesian estimation of the parameters of a Poisson process. Enables also spatial visualization of sampling bias and includes a set of convenience functions for publication level plotting. Also available as shiny app.

Authors:Alexander Zizka [aut, cre], Daniele Silvestro [aut], Bruno Vilela [ctb]

sampbias_2.0.0.tar.gz
sampbias_2.0.0.zip(r-4.5)sampbias_2.0.0.zip(r-4.4)sampbias_2.0.0.zip(r-4.3)
sampbias_2.0.0.tgz(r-4.4-any)sampbias_2.0.0.tgz(r-4.3-any)
sampbias_2.0.0.tar.gz(r-4.5-noble)sampbias_2.0.0.tar.gz(r-4.4-noble)
sampbias_2.0.0.tgz(r-4.4-emscripten)sampbias_2.0.0.tgz(r-4.3-emscripten)
sampbias.pdf |sampbias.html
sampbias/json (API)
NEWS

# Install 'sampbias' in R:
install.packages('sampbias', repos = c('https://azizka.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/azizka/sampbias/issues

Datasets:

On CRAN:

5.23 score 33 stars 26 scripts 185 downloads 4 exports 60 dependencies

Last updated 9 months agofrom:d4f7610c05. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 06 2024
R-4.5-winWARNINGNov 06 2024
R-4.5-linuxWARNINGNov 06 2024
R-4.4-winWARNINGNov 06 2024
R-4.4-macWARNINGNov 06 2024
R-4.3-winWARNINGNov 06 2024
R-4.3-macWARNINGNov 06 2024

Exports:calculate_biasdis_rastmap_biasproject_bias

Dependencies:askpassclassclassIntclicolorspacecowplotcpp11curlDBIdplyre1071fansifarverforcatsgenericsggplot2gluegridExtragtablehttrisobandjsonliteKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmimemunsellnlmeopensslpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangrnaturalearths2scalessfstringistringrsysterratibbletidyrtidyselectunitsutf8vctrsviridisviridisLitewithrwk