An R package to analyze, summarize, and visualize daily streamflow data 💧

Code, figure, and data repository for: Haase et al. (2023) Nature. https://doi.org/10.1038/s41586-023-06400-1

R package to explore statistical methods for trend analyses on annual streamflow metrics

Assessing adequacy of phyletic-evolution models

This is a final project for a Time Series course. My professor told me I could further work on it.

⏲️🗓️❓️💾️ The official source repository for the What Year Is It (WYII) project.

Scripts for estimating historic trends in GLOF occurrences and potential biases in reporting

R Shiny app to monitor Real Time Trending Topics on Twitter.

Integrated data state-space models for Northwestern raptor population trends

Data collections from Swedish Twitter: trends, members of parliament, news accounts

Trends and variability of precipitation extremes in the Peruvian Altiplano (1971–2013)

Statistical analysis of MMA fight data.

R-Code and data for game engines on itch.io

Worldwide Google Trends visualization and classification

Code and Slides from the NIMS Workshop "Your Easy Start into Programming Projects" - 18.02.21

Shiny app. Useful to explore trends in time series, particularly designed for KPIs estimated from survey data. Author: Carlos Omar Pardo Gomez.

Supporting material for articles and posts (R, charts, etc)

Geographical Diffusion of IT Trends

Github of the Jean-Yves DIAS master Internship