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) .


Reference manual

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install.packages("sampbias")

2.0.0 by Alexander Zizka, 3 years ago


https://github.com/azizka/sampbias


Report a bug at https://github.com/azizka/sampbias/issues


Browse source code at https://github.com/cran/sampbias


Authors: Alexander Zizka [aut, cre] , Daniele Silvestro [aut] , Bruno Vilela [ctb] (Bruno updated the code to use new spatial packages)


Documentation:   PDF Manual  


GPL-3 license


Imports cowplot, dplyr, forcats, ggplot2, graphics, magrittr, methods, rlang, tidyr, viridis, terra, sf, rnaturalearth

Suggests knitr, rmarkdown, testthat


See at CRAN