This tutorial shows you how to access Copernicus Climate Data Store API through KrigR package in R, retrieve climate data in netCDF format, and create powerful static and animated visualizations for any country in the world using ggplot2 and gganimate
0:00 Prologue
0:50 Intro
02:03 Set working directory
04:14 Install KrigR
06:06 Load libraries
11:59 API id & key
12:49 Copernicus Climate Data Store
18:08 Registration
20:32 KrigR - documentation
26:12 KrigR - build query
32:32 KrigR - download data
33:55 netCDF
37:43 Plot June 2022 temperature for Poland
41:32 Quick & dirty map
42:51 netCDF to dataframe
44:46 Pivot dataframe
47:25 Create dates from layer names
57:35 Breaks
01:02:10 Spectral palette
01:06:22 ggplot2 code
01:14:17 ggplot2 theme
01:21:26 Panel map of poland
01:22:39 gganimate
01:29:31 Save map as gif
01:30:13 Timelapse temperature map
01:31:33 Closing
Check the full code in my GitHub repo:
https://github.com/milos-agathon/visualize-temperature-with-r
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https://www.instagram.com/milos_makes_maps/
Let's connect on Twitter:
https://twitter.com/milos_agathon
If you like my work, consider buying me a coffee:
https://www.buymeacoffee.com/milospopovic
Music credits go to:
David Hyde:
https://soundcloud.com/davidhydemusic
Music provided by RFM