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sampbias (version 2.0.0)

Evaluating Geographic Sampling Bias in Biological Collections

Description

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) .

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Install

install.packages('sampbias')

Monthly Downloads

233

Version

2.0.0

License

GPL-3

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Maintainer

Alexander Zizka

Last Published

February 6th, 2024

Functions in sampbias (2.0.0)

plot.sampbias

Plotting the Posterior Estimates of the Bias Weights
project_bias

Projecting Bias Effects in Space
calculate_bias

Evaluating Sampling Bias in Species Distribution Data
dis_rast

Distance Rasters from a List of Geographic Gazetteers
map_bias

Mapping Projected Bias Effects
summary.sampbias

Summary Method for Class sampbias
area_example

Example Dataset for a Custom Study Area
borneo

Borneo
is.sampbias

Is Method for Class sampbias
ea_raster

Equal Area Raster
ecoregion_example

Detailed Example for a Custom Study Area