Evaluating Geographic Sampling Bias in Biological Collections R package sampbias version 2.0.0 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>. Software 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) Alexander Zizka <alexander.zizka@biologie.uni-marburg.de> Comprehensive R Archive Network (CRAN) Alexander Zizka [aut, cre], Daniele Silvestro [aut], Bruno Vilela [ctb] (Bruno updated the code to use new spatial packages) GPL-3 2024-02-06 application/tgz https://CRAN.R-project.org/package=sampbias doi:10.32614/CRAN.package.sampbias en-gb