One of my favorite features of the new {mapgl} #rstats package is its flexible interface for hover effects. Specify a named list of `hover_options()` and you can change the hovered-over feature's look in many different ways. Try out this tutorial: walker-data.com/mapgl/articles…

Cartographie statistique : Insee passe à la vitesse supérieure avec la technologie MapLibre : 11 indicateurs sociaux (source Filosofi) au carreau de 200 m pour toute la France, avec une fluidité spectaculaire🚀. insee.fr/fr/outil-inter… Secret statistique respecté, bien sûr.

New {mapgl} Shiny example just addressed over in the GitHub issues: Seamlessly map different columns in your dataset with different colors and an updated legend with no performance lag. Try out the example here: github.com/walkerke/mapgl… #rstats

Produisez vous-même en qqs secondes de superbes cartes lissées avec le kit décrit dans cet article🚀. Appliqué aux #européennes2024, il valorise la grille hexagonale H3. Ce kit s'utilise avec #DuckDB et #Mapshaper, des outils simples, véloces et sexys ! icem7.fr/cartographie/l…

Now available in the #rstats {mapgl} package: the `compare()` function allows you to swipe between layers on your map! Compare demographic changes, development scenarios, alternative color palettes (shown here) and much more Learn how: walker-data.com/mapgl/referenc…

Check out this R Shiny App designed to explore causality and multiple regression: pitt.shinyapps.io/Rottman_Causal… This tool helps you understand possible relationships between variables, including noise, confusion, alternative effects, mediation, and interaction/moderation. A very nice

The value of ‘wasting time’ on deep thinking is often overlooked in a scientific ecosystem increasingly tainted by Wall Street’s productivity mindset. nature.com/articles/d4158…

The GWalkR package in R is a powerful tool for data visualization and exploration. Designed to simplify complex data analysis, GWalkR transforms raw data into interactive visualizations, making it easier to understand and interpret your data sets. Here are some key features of

One of my favorite #rstats packages is {exactextractr} which calculates lightning-fast zonal statistics over raster datasets You can performantly summarize rasters that are multiple GB in size without having to wait around all day Learn more: isciences.gitlab.io/exactextractr/

Doctorante en #génétique animale et #épigénétique, stacy rousse est spécialisée dans la transmission des mécanismes épigénétiques chez la caille Découvrez son #portrait en 📽️ ➡️ses activités 🧪 ➡️son parcours d'étude 👩‍🎓 ➡️ses motivations 🤩 youtu.be/ctHvuuRv64k?si

Nouveau dans #DBeaver avec #DuckDB : la présence d'une colonne 'color' permet de faire de la carto thématique, par ex. en quantiles : FROM st_read('myGeoJSON.json') SELECT geom, ntile(5) over(ORDER BY part_rn) qt, ['#ccebc5','#a8ddb5','#7bccc4','#43a2ca','#0868ac'][qt] AS color;

◻️ In grey: lighter cars _slightly_ increase your chances of dying in a car accident. ♦️ In red: if the car in front is large, your risk of dying increases _massively_. Such a powerful chart by The Economist.

'Open Science in Agricultural Economics' Our paper aims to provide the basis for taking our discipline in new directions towards open science. It has now been accepted for publication in Q Open 🥳 Joint work w Arne Henningsen, Julia Höhler, Robert Huber, J Rommel, C Grebitus

On my way to Université de Genève to talk about the use of satellite data in agricultural, climate, and environmental economics at the "postdoc network in agricultural, climate, and environmental economics" (PoNACEE). Link to paper: ageconsearch.umn.edu/record/344359/…

Add beautifully aligned text to paths and lines in your ggplot2 visualizations with geomtextpath, an extension that allows you to embed text directly onto plot lines in R. This package lets you add labels that follow the curvature of lines, making it easier to annotate plots

Innovation #Macarte de IGN France, la méthode de discrétisation head/tail. Bravo et merci, vous êtes précurseurs !

Looking to create stunning, data-rich maps in R? The tidyterra package makes it simple to integrate spatial data with ggplot2, bringing the power of the tidyverse to geospatial analysis. With tidyterra, you can work with spatial data just like any other data set in ggplot2. ✔️

Évaluation des politiques publiques : quels enjeux pour l’agriculture❓ 🗣️Réponses de Thomas Poméon, directeur de l'Observatoire du développement rural qui accompagne les acteurs depuis➕de 15 ans sur le chemin des transitions 📅09/11 à 13h30 📍INRAE Occitanie-Toulouse & en ligne

Très sympa cette option de data.gouv.fr, la plateforme génère automatiquement une copie parquet quand qqun publie un fichier volumineux.

#Dataviz with R is wild! 🔥 This is what you can do with a couple of lines of code: - create 3 graphs (ggplot2 syntax) - custom layout - cross-graph hover effect - tooltip 😳 Thanks to the ggiraph package. ❤️ Code in comments!