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 DOI: 10.32614/CRAN.package.sampbias 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sampbias to link to this page.
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