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sampbias  

Evaluating Geographic Sampling Bias in Biological Collections
View on CRAN: Click here


Download and install sampbias package within the R console
Install from CRAN:
install.packages("sampbias")

Install from Github:
library("remotes")
install_github("cran/sampbias")

Install by package version:
library("remotes")
install_version("sampbias", "2.0.0")



Attach the package and use:
library("sampbias")
Maintained by
Alexander Zizka
[Scholar Profile | Author Map]
First Published: 2024-02-06
Latest Update: 2024-02-06
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) .
How to cite:
Alexander Zizka (2024). sampbias: Evaluating Geographic Sampling Bias in Biological Collections. R package version 2.0.0, https://cran.r-project.org/web/packages/sampbias. Accessed 18 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited sampbias R package
View sampbias citation profile
Other R packages that sampbias depends, imports, suggests or enhances
Complete documentation for sampbias
Functions, R codes and Examples using the sampbias R package
Some associated functions: area_example . borneo . calculate_bias . dis_rast . ea_raster . ecoregion_example . is.sampbias . map_bias . plot.sampbias . project_bias . summary.sampbias . 
Some associated R codes: calculate_bias.R . dis_rast.R . internal.R . is.sampbias.R . map_bias.R . plot.sampbias.R . project_bias.R . sampbias.R . summary.sampbias.R .  Full sampbias package functions and examples
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