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bean  

Data Thinning of Species Occurrences in Environmental Space
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bean", "0.2.0")



Attach the package and use:
library("bean")
Maintained by
Paanwaris Paansri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-30
Latest Update: 2026-05-30
Description:
A suite of tools to mitigate sampling bias in species occurrence records by thinning data in the environmental space (E-space). This process can improve the accuracy and precision of species distribution models (SDM, also known as ecological niche models, ENM). The package offers a data-driven protocol to determine thinning parameters using kernel-density bandwidth selection. Two thinning methods are provided (stochastic and deterministic) to reduce over-sampled environmental conditions and down-weight outlier observations. The name 'bean' reflects the core principle of the method: each 'pod' (a grid cell in E-space) is allowed to contain only a limited number of 'beans' (occurrence points). See Silverman (1986, ISBN:978-0-412-24620-3) and Rousseeuw and Leroy (2003, ISBN:978-0-471-48855-2) for the underlying statistical methods.
How to cite:
Paanwaris Paansri (2026). bean: Data Thinning of Species Occurrences in Environmental Space. R package version 0.2.0, https://cran.r-project.org/web/packages/bean. Accessed 24 Jun. 2026.
Previous versions and publish date:
0.2.0 (2026-05-30 15:50), 0.2.1 (2026-06-08 20:20)
Other packages that cited bean R package
View bean citation profile
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Functions, R codes and Examples using the bean R package
Full bean package functions and examples
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