ReLTER: An R interface for environmental observation in long term ecological research

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 collec...

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Main Authors: Alessandro Oggioni, Micha Silver, Paolo Tagliolato, Arnon Karnieli
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecological Informatics
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Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124004576
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author Alessandro Oggioni
Micha Silver
Paolo Tagliolato
Arnon Karnieli
author_facet Alessandro Oggioni
Micha Silver
Paolo Tagliolato
Arnon Karnieli
author_sort Alessandro Oggioni
collection DOAJ
description 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.
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spelling doaj-art-ecc6778b7fc249239a0709bf9dcafb102025-01-19T06:24:33ZengElsevierEcological Informatics1574-95412025-03-0185102915ReLTER: An R interface for environmental observation in long term ecological researchAlessandro Oggioni0Micha Silver1Paolo Tagliolato2Arnon Karnieli3CNR - Institute for Electromagnetic Sensing of the Environment, (IREA), Via Alfonso Corti 12, I-20133, Milano, Italy; Corresponding author.Ben Gurion University, The Albert Katz International School for Desert Studies, The Jacob Blaustein Institutes for Desert Research, Sede Boker Campus, 8499000, IsraelCNR - Institute for Electromagnetic Sensing of the Environment, (IREA), Via Alfonso Corti 12, I-20133, Milano, ItalyBen Gurion University, Remote Sensing Laboratory, French Associates Institute for Agriculture and Biotechnology of Drylands, The Jacob Blaustein Institutes for Desert Research, Sede Boker Campus, 8499000, IsraelEcological 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.http://www.sciencedirect.com/science/article/pii/S1574954124004576eLTEREcologyTaxonomyEarth observationHarmonisation
spellingShingle Alessandro Oggioni
Micha Silver
Paolo Tagliolato
Arnon Karnieli
ReLTER: An R interface for environmental observation in long term ecological research
Ecological Informatics
eLTER
Ecology
Taxonomy
Earth observation
Harmonisation
title ReLTER: An R interface for environmental observation in long term ecological research
title_full ReLTER: An R interface for environmental observation in long term ecological research
title_fullStr ReLTER: An R interface for environmental observation in long term ecological research
title_full_unstemmed ReLTER: An R interface for environmental observation in long term ecological research
title_short ReLTER: An R interface for environmental observation in long term ecological research
title_sort relter an r interface for environmental observation in long term ecological research
topic eLTER
Ecology
Taxonomy
Earth observation
Harmonisation
url http://www.sciencedirect.com/science/article/pii/S1574954124004576
work_keys_str_mv AT alessandrooggioni relteranrinterfaceforenvironmentalobservationinlongtermecologicalresearch
AT michasilver relteranrinterfaceforenvironmentalobservationinlongtermecologicalresearch
AT paolotagliolato relteranrinterfaceforenvironmentalobservationinlongtermecologicalresearch
AT arnonkarnieli relteranrinterfaceforenvironmentalobservationinlongtermecologicalresearch