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RuHere  

Flags Spatial Errors in Biological Collection Data Using Specialists' Information
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RuHere", "1.1.0")



Attach the package and use:
library("RuHere")
Maintained by
Weverton C. F. Trindade
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-17
Latest Update: 2026-02-17
Description:
Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>.
How to cite:
Weverton C. F. Trindade (2026). RuHere: Flags Spatial Errors in Biological Collection Data Using Specialists' Information. R package version 1.1.0, https://cran.r-project.org/web/packages/RuHere. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-10-20 15:20), 1.0.1 (2026-02-17 16:30), 1.1.0 (2026-08-27 07:10)
Other packages that cited RuHere R package
View RuHere citation profile
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Complete documentation for RuHere
Functions, R codes and Examples using the RuHere R package
Full RuHere package functions and examples
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