Meeting of our Interact project https://t.co/Le2mkruYag on the interactions between bottlenose 🐬 and human activities in the French Mediterranean 🌊 @Fondationfrance @GIS_3M #EcoOcéanInstitut #SouffleursdEcume #Gecem @LIENSsCNRSULR @WWFFrance @WWFFrance_Press @CNRS_OccitaniE pic.twitter.com/hAJPnumxAr
— Olivier Gimenez 🖖 (@oaggimenez) 6 février 2019
Procrastination at its highest level 😜 My first attempt to design hex stickers for our #R2ucare 📦 https://t.co/ZbclwJKB5W #rstats code on #github https://t.co/TbEgjQf7iC Comments more than welcome 😁 pic.twitter.com/vVdVnJ9B79
— Olivier Gimenez 🖖 (@oaggimenez) 6 février 2019
How many 🐺🐶 hybrids are there?! @NSantostasi shows how to estimate prevalence w/ #HMM imperfect detection in her @Ecol_Evol #Euring17 paper https://t.co/KwiHB2ZBpX #openaccess 🤝 work w/ @SapienzaRoma @ISPRA_Press @wolfappcenter @umontpellier @CNRS_OccitaniE @INEE_CNRS 🇮🇹🇫🇷 pic.twitter.com/jQJtBwNOZn
— Olivier Gimenez 🖖 (@oaggimenez) 5 février 2019
Check out our new #bioRxiv preprint on the influence of maternal traits on litter size in #polar #bears led by former Master student #DorindaFolio "How many cubs can a mum raise? Maternal age and size influence litter size in polar bears" https://t.co/kJymSuIkMZ #WomenInSTEM pic.twitter.com/rrCYScxmlj
My introduction to the #tidyverse for our lab meeting to manipulate and visualise data in #rstat https://t.co/As9bkXY9GZ. Feel free to steal and modify this material for your own use. Be advised, this is work in progress & a mix of 🇬🇧/🇫🇷😋 Comments welcome! #datascience #davaviz pic.twitter.com/2vrrdbzuWh
Check out our new @biorxivpreprint #preprint "Inferring #wildlife #poaching in Southeast Asia with multispecies dynamic #occupancy models" led by @LMarescot 🐯 https://t.co/g4NAQnUODw #HMMs @ArnaudLyet @rhohits #NeilCarter @SMARTCnsvTools @AgenceRecherche pic.twitter.com/5EttLyY1S9
— Olivier Gimenez 🖖 (@oaggimenez) 15 janvier 2019
"Identifying conservation priorities for the critically endangered Balkanlynx" https://t.co/EDx0hUUT7v a nice article by #DimeMelovski on our recent @OryxTheJournal paper https://t.co/sVeTwbDlOc (15 days free access) w/ #rstat #OccupancyModels #GIS #maps https://t.co/Uv9uhsAPuY pic.twitter.com/c3iMLOChU3
— Olivier Gimenez 🖖 (@oaggimenez) 14 janvier 2019kquote>
In statistical ecology, we often need to calculate the sampling variance of a function of an estimate of which we do know the sampling variance. I keep forgetting how to implement the so-called delta method in R that allows to get an approximation of this quantity. So in this post I go through two examples in population ecology that should help me remembering. I use the deltamethod function from the
msm package.
I read
this awesome post (in French) by
Baptiste Coulmont, professor in sociology, who explored the French academic network in sociology. Coulmont used the composition of PhD commitees to determine academic links between colleagues. The approach very appealing because it uses public data available from the website
these.fr. Here, I used Coulmont’s R code to produce the French academic network in ecology. This was a nice opportunity to illustrate how to work in the tidyverse and to do some
web scraping using the rvest package.
Our team has had a fantastic 2018 year! Inspired by @Maestrelab, below is a thread of some highlights 🍾😜🤩 @CNRS_OccitaniE @INEE_CNRS @umontpellier @IsiteMUSE @LMarescot @NSantostasi @MaudQueroue @ValentinLauret @oksanagrente @GueryLorelei @roques_seb https://t.co/FaP9o0bOD4.
— Olivier Gimenez 💤 (@oaggimenez) 23 décembre 2018
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