Document of bibliographic reference 405941

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
ReLTER: An R interface for environmental observation in long term ecological research
Abstract
Ecological datasets are inherently complex, heterogeneous, and often span different time series. The links between spatial and temporal data and ecological/environmental science are framed in the discipline of ecoinformatics. The rapid growth of ecoinformatics has led to a demand for software collections specifically designed for environmental data analysis. This article introduces a new R package, ReLTER, simplifying user interaction with web data and the Dynamic Ecological Information Management System-Site and Dataset Registry (DEIMS-SDR). This package was motivated by users within the eLTER community and the emerging eLTER Research Infrastructure Management System (eLTER-RI), as well as other stakeholders to facilitate interaction with data and tools provided by eLTER-RI. Furthermore, DEIMS-SDR is currently used as a site catalogue by European environmental research projects, and has the potential to develop as the a reference for the EU ecological site registry.The ReLTER package, written in the R language, is based on several auxiliary packages that enrich the data collected within the Long-Term Ecological Research (eLTER) network with data from other repositories. More than forty functions have been implemented that allow the retrieval of species occurrence data from third-party online networks, such as GBIF, iNaturalist, and OBIS, as well as earth observation images from various internet archives, and to harmonize the downloaded data (in terms of structure, semantics, taxonomy, etc.) for combining and linking them in subsequent analyses. This paper describes the functionality of the ReLTER package and its potential within the global ecological community.
Bibliographic citation
Oggioni, A.; Silver, M.; Tagliolato, P.; Karnieli, A. (2025). ReLTER: An R interface for environmental observation in long term ecological research. Ecological Informatics 85: 102915. https://dx.doi.org/10.1016/j.ecoinf.2024.102915
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Alessandro Oggioni
author
Name
Micha Silver
author
Name
Paolo Tagliolato
author
Name
Arnon Karnieli

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.ecoinf.2024.102915

thesaurus terms

term
Ecology (term code: 2622 - defined in term set: ASFA Thesaurus List)
Taxonomy (term code: 8377 - defined in term set: ASFA Thesaurus List)

Document metadata

date created
2025-03-04
date modified
2025-04-22