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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>.

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VersionRepositoryFileSize
2.0.0 rolling linux/jammy R-4.5 sampbias_2.0.0.tar.gz 696.6 KiB
2.0.0 rolling linux/noble R-4.5 sampbias_2.0.0.tar.gz 696.5 KiB
2.0.0 rolling source/ R- sampbias_2.0.0.tar.gz 857.5 KiB
2.0.0 latest linux/jammy R-4.5 sampbias_2.0.0.tar.gz 696.6 KiB
2.0.0 latest linux/noble R-4.5 sampbias_2.0.0.tar.gz 696.5 KiB
2.0.0 latest source/ R- sampbias_2.0.0.tar.gz 857.5 KiB
2.0.0 2026-04-26 source/ R- sampbias_2.0.0.tar.gz 857.5 KiB
2.0.0 2026-04-23 source/ R- sampbias_2.0.0.tar.gz 857.5 KiB
2.0.0 2026-04-09 windows/windows R-4.5 sampbias_2.0.0.zip 697.2 KiB
2.0.0 2025-04-20 source/ R- sampbias_2.0.0.tar.gz 857.5 KiB

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