RuHere Workflow

RuHere, is an R package designed to manage species occurrence data, flag potential errors, and support the iterative exploration of problematic records. The package supports robust preparation of occurrence datasets for ecological and conservation applications such as ecological niche modelling, with its main strength being the flexibility and control it provides to deal with and explore potentially erroneous records. In this code, we demonstrate the applicability of RuHere in obtaining and preparing occurrence data for the two species represented in the package logo: the Paraná pine (Araucaria angustifolia) and the azure jay (Cyanocorax caeruleus).

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18688980
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RuHere Workflow

Weverton Carlos Ferreira Trindade
Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

RuHere Workflow

Weverton Carlos Ferreira Trindade
article en

Abstract

RuHere, is an R package designed to manage species occurrence data, flag potential errors, and support the iterative exploration of problematic records. The package supports robust preparation of occurrence datasets for ecological and conservation applications such as ecological niche modelling, with its main strength being the flexibility and control it provides to deal with and explore potentially erroneous records. In this code, we demonstrate the applicability of RuHere in obtaining and preparing occurrence data for the two species represented in the package logo: the Paraná pine (Araucaria angustifolia) and the azure jay (Cyanocorax caeruleus).

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal do Paraná (BR)
Life in Land
Openalex Percentile: Top 51%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.