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Efficient analysis of spatial biodiversity datasets for global portfolios
Pipeline engine that can run R, Julia, Python and shell scripts seamlessly.
Paper: SPATIAL STRUCTURE IS MORE THAN HABITAT AMOUNT: A METAPOPULATION APPROACH IS NECESSARY TO PROJECT DISTRIBUTIONS UNDER CLIMATE CHANGE
An R-package for estimating population trends from count survey data.
Lecture material for the introductory Python course for R users for the 2023 Summer School in Computational Ecology
An opinionated list of awesome Python frameworks, libraries, software and resources.
R code to replicate analyses in Clark et al 2025 (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability)
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
R package to send function calls as jobs on LSF, SGE, Slurm, PBS/Torque, or each via SSH
Full code and models for paper describing a hierarchical Bayesian GAM for the BBS
R code for global hotspots of coherent marine fishery catches
A public repo for code and analyses associated with the paper Tracking the Global Footprint of Fisheries
📄 Awesome CV is LaTeX template for your outstanding job application
Data visualizations produced for #TidyTuesdayChallenge, a challenge hosted by R for Data Science.
This repository accompanies the manuscript "Environmental Context Dependency in Species Interactions"
This node-based editor allows using the open source library simple-data-analysis.js without code.
Easy-to-use and high-performance TypeScript library for data analysis. Works with tabular, geospatial and vector data.
Color palette package inspired by National Parks
Intro to Shiny Apps for Living Data Project, April 2022
A curated list of awesome actions to use on GitHub
Sustainability App for the region of Greater Montreal displaying the work and findings of Mcgill MSSI researchers in the form of interactive dashboards.
🗯️ Easily create pretty popup messages (modals) in Shiny
The Permutation Test - A Visual Explanation of Statistical Testing