Ready to bring climate data to life? In this hands-on tutorial, I'll teach you how to unlock the secrets of temperature visualization in R with this informative video. Explore ECMWF data, geospatial insights, and more!
✅ Effortlessly download ERA5 climate data from ECMWF's Climate Data Store (CDS).
✅ Perform kriging to interpolate spatial data for high-precision mapping.
✅ Calculate seasonal temperature averages and anomalies for meaningful insights.
✅ Create stunning static maps and dynamic time-lapse animations using ggplot2 and gganimate.
Whether you're a researcher, data scientist, or climate enthusiast, this tutorial will help you transform raw data into impactful visualizations. Perfect for climate studies, GIS, and data storytelling! 🌡️
🔗 Resources & Links:
📂 Full Code on GitHub: https://github.com/milos-agathon/temperature-maps-with-krigr
📸 Follow on Instagram: https://www.instagram.com/milos_makes_maps
🐦 Connect on X: https://twitter.com/milos_agathon
☕ Support My Work: https://www.buymeacoffee.com/milospopovic
📊 Climate Data Store (CDS): https://cds.climate.copernicus.eu/
🎥 Video Chapters:
0:00 Welcome! 👋
00:21 Installing KrigR 📦
02:45 Fix errors & prepare climate data
08:50 Download ERA5 temperature data
29:43 Perform powerful kriging 🌐
36:24 Analyze and crop kriged results
52:58 Build beautiful static maps 🌍
01:09:36 Animate temperature changes using gganimate 🎥
01:20:36 Visualize seasonal temperature anomalies 🌡️
🔧 Tools & Packages:
KrigR: Climate data processing
ggplot2: Data visualization
gganimate: Time-lapse animations
Data Source: ERA5 Climate Data
🔥 Like, Subscribe, and Hit the Bell 🔔 for more R tutorials and data visualization content!
Your support helps me create more valuable tutorials for you. Drop a comment below if you have questions or want more content like this!
#ClimateData #DataVisualization #RStats #KrigR #ERA5 #GIS #Mapping #DataScience