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Outils de construction de présentation reveal.js à partir de fichiers Markdown.

Présentation-documentation

Transfered to https://gitlab.com/floriandeboissieu/lidRGUI

Implémentation du modèle de dynamique d'opinion de confiance bornée, et de ses variantes. http://jasss.soc.surrey.ac.uk/19/1/6.html

modelling arctic shrub distributions and dynamics

Demo app to draw marbles from a bag as an analogy to discovering this year's flood return period. Series of draws allow to comment on the probability to be flooded in a given period of N years, and comment on flood variability.

fudaa-lspiv

OhmPi is an open hardware resistivity meter to provide the scientific community with a robust and flexible tool for monitoring experiments. Documentation: https://reversaal.gitlab.irstea.page/OhmPi

Tranfered to https://gitlab.com/pytools4dart/generateds

This RDF dataset contains the measurements generated by one of the meteorological stations that Irstea owns in its experimental farm at Montoldre. The dataset contains measurements collected from August 2018 up to day. This dataset is updated daily.

Slides for FOSS4G 2022 Firenze

Codes didactiques pour manipuler les notions de période de retour des crues, avec texte explicatif sur le wiki. Ces codes ont servi à illustrer le billet de blog "La « crue centennale » prise la main dans le sac !" de l'association EauDyssée, à destination du grand public. Le développement se poursuit en parallèle en anglais (projet "bag of floods").

Importance and effectiveness of correction methods for spatial sampling bias in species with sex-specific habitat preference

Experiments conducted with STR (https://gitlab.irstea.fr/jacques.fize/str-python).

Exemple d'utilisation d'openlayer pour l'affichage d'un geojson

Tutorials for forest analysis with airborne laser scanning (lidar) remote sensing. Tree detection and segmentation, field plot co-registration, forest parameters and habitat metrics mapping, forest gaps and edges detection. lidaRtRee_tutorials are now integrated as vignettes of the R package lidaRtRee. Documentation and tutorials are on https://lidar.pages-forge.inrae.fr/lidaRtRee/