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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 |
Reference manual: | sampbias.pdf |
Vignettes: |
Possible warnings of sampbias and solutions Using the sampbias R package |
Package source: | sampbias_2.0.0.tar.gz |
Windows binaries: | r-devel: sampbias_2.0.0.zip, r-release: sampbias_2.0.0.zip, r-oldrel: sampbias_2.0.0.zip |
macOS binaries: | r-release (arm64): sampbias_2.0.0.tgz, r-oldrel (arm64): sampbias_2.0.0.tgz, r-release (x86_64): sampbias_2.0.0.tgz, r-oldrel (x86_64): sampbias_2.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.