Time Series Analysis of Environmental and Ecological Data in R

The short training will consider how and where to get environmental and ecological data and using R Statistical Software to carry out analysis.
Join us for hands-on session on analyzing data collected over time.

Why R? R handles trends, yearly cycles, anomalies, and forecasting properly using `ts`, `forecast`, and `fable` packages.

What you’ll do:

1. Clean messy dates and plot seasonal patterns
2. Decompose data into trend + seasonal + remainder
3. Fit ARIMA models and forecast next 12 months with confidence bands
4. Detect anomalies — was January 2024 flood a statistical outlier?

Kwara-Environmental-Statistics-R members working with weather stations, ecological surveys, pollution monitors, or crop records and students. You know `ggplot2`. Never touched time series? We start from `read.csv`.