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. The reference for the methodology is: Zizka et al. (2020) <doi:10.1111/ecog.05102>.

Version: 2.0.0
Depends: R (≥ 3.5.0)
Imports: cowplot, dplyr, forcats, ggplot2, graphics, magrittr, methods, rlang, tidyr, viridis, terra, sf, rnaturalearth
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-06
Author: Alexander Zizka [aut, cre], Daniele Silvestro [aut], Bruno Vilela [ctb] (Bruno updated the code to use new spatial packages)
Maintainer: Alexander Zizka <alexander.zizka at biologie.uni-marburg.de>
BugReports: https://github.com/azizka/sampbias/issues
License: GPL-3
URL: https://github.com/azizka/sampbias
NeedsCompilation: no
Language: en-gb
Materials: NEWS
CRAN checks: sampbias results

Documentation:

Reference manual: sampbias.pdf
Vignettes: Possible warnings of sampbias and solutions
Using the sampbias R package

Downloads:

Package source: sampbias_2.0.0.tar.gz
Windows binaries: r-prerel: sampbias_2.0.0.zip, r-release: sampbias_2.0.0.zip, r-oldrel: sampbias_2.0.0.zip
macOS binaries: r-prerel (arm64): sampbias_2.0.0.tgz, r-release (arm64): sampbias_2.0.0.tgz, r-oldrel (arm64): sampbias_2.0.0.tgz, r-prerel (x86_64): sampbias_2.0.0.tgz, r-release (x86_64): sampbias_2.0.0.tgz

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