WIDEa: a Web Interface for big Data exploration, management and analysis

DOI

WIDEa is R-based software aiming to provide users with a range of functionalities to explore, manage, clean and analyse "big" environmental and (in/ex situ) experimental data. These functionalities are the following, 1. Loading/reading different data types: basic (called normal), temporal, infrared spectra of mid/near region (called IR) with frequency (wavenumber) used as unit (in cm-1); 2. Interactive data visualization from a multitude of graph representations: 2D/3D scatter-plot, box-plot, hist-plot, bar-plot, correlation matrix; 3. Manipulation of variables: concatenation of qualitative variables, transformation of quantitative variables by generic functions in R; 4. Application of mathematical/statistical methods; 5. Creation/management of data (named flag data) considered as atypical; 6. Study of normal distribution model results for different strategies: calibration (checking assumptions on residuals), validation (comparison between measured and fitted values). The model form can be more or less complex: mixed effects, main/interaction effects, weighted residuals.

R, 3.5 (minimal)

This software is ranked by IN-SYLVA FRANCE Research Infrastructure. https://www6.inrae.fr/in-sylva-france_eng/Services/In-Silico/Analysis-software https://doi.org/10.15454/1A0P-HE21

Ce logiciel est référencé au sein de l'Infrastructure de Recherche In-Sylva France https://www6.inrae.fr/in-sylva-france/Services/In-Silico/Logiciels-d-analyse. https://doi.org/10.15454/1A0P-HE21

Identifier
DOI https://doi.org/10.15454/AGU4QE
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/AGU4QE
Provenance
Creator Philippe Santenoise
Publisher Recherche Data Gouv
Contributor Philippe Santenoise; Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Publication Year 2021
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Philippe Santenoise (INRAE)
Representation
Resource Type Dataset
Version 1.0
Discipline Computer Science; Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences