Climate Visualization and Techniques

This repository is solely for my R learning. The repository organization follows the Prof. Pat from Riffomonas Project on youtube channel. Riffomonas Project channel follow this link https://www.youtube.com/@Riffomonas.

There are 23 codes.

1. Drawing line plot using NASA data. Follow the link CC215 episode -->https://www.youtube.com/watch?v=fskblEWSeWU&t=951s.
2. Drawing global temperature change since 1880 barplots. Follow the link CC216 episode --> https://www.youtube.com/watch?v=HDXY0idH7KY&t=621s.
3. Drawing Ed_hawkins figure. Follow the link cc217 episode --> https://www.youtube.com/watch?v=gOyya2DLVfQ.
4. Recreating climate temperature spirals ggplot2. Follow the link CC218 episode --> https://www.youtube.com/watch?v=NYF9ySYSvwQ
5. Recreating animated climate temperature spirals ggplot2 and gganimate. Follow the link CC219 episode --> https://www.youtube.com/watch?v=AYfjdcylAio
6. Creating the NASA GISS animated climate spiral in R. Follow the link CC220 episode --> https://www.youtube.com/watch?v=YkJFaQVrD9Y
7. Creating a spiral in cartesian coordinates with ggplot2 in R. Follow the link CC222 episode --> https://www.youtube.com/watch?v=kXbpAhWF6iw&t=180s
8. Making a 3D interactive figure showing climate change with plotly. Follow the link CC223 episode --> https://www.youtube.com/watch?v=PytBiFU0rEc
9. Illustrating climate change using the ggplot2 to create a tornado plot. Follow the link CC224 --> https://www.youtube.com/watch?v=Yebe0IcBFh0
10. Programming a line plot in R to show climate change with and without animation. Follow the link CC225 --> https://www.youtube.com/watch?v=DrNQMaIVEVo
11. How to create a ridgeline plot in R with ggridges in RStudio. Follow the link CC226 --> https://www.youtube.com/watch?v=kU4O1LXdz2Y
12. Creating a raster map of global climate change in R with ggplot2's geom_raster. Follow the link CC227 --> https://www.youtube.com/watch?v=W1QH83twaak
13. A rug chart in R with ggplot2's geom_segment showing latitudinal temperature anomalies. Follow the link CC228 --> https://www.youtube.com/watch?v=UbuKFW5eul8&t=419s
14. Scraping weather data from the internet with R and the tidyverse. Follow the link CC231 --> https://www.youtube.com/watch?v=V5Df6vw4-e8
15. Removing outliers in R with tools from dplyr and ggplot2. Follow the link CC232 --> https://www.youtube.com/watch?v=rbm2pYSPFlU&t=11s
16. Using dplyr's group_by function with and without summarize. Follow the link CC233 --> https://www.youtube.com/watch?v=9D1wZ2zWyqI&t=68s
17. Using lubridate and ggplot2 to work with dates in R. Follow the link CC234 --> https://www.youtube.com/watch?v=facMJFmsUlw
18. Visualizing correlation with double y-axes using the ggplot2 R package. Follow the link CC235 --> https://www.youtube.com/watch?v=ir-NMcrYD-I
19. Stylizing the appearance of facet labels with ggplot2's facet_wrap. Follow the link CC236 --> https://www.youtube.com/watch?v=v1hTB2b_YkE
20. Using factors in R to create a new calendar and see how much snow do we get in Michigan. Follow the link CC238 --> https://www.youtube.com/watch?v=Ky8CIMZzO54
21. Creating a sliding window with the slider R package to quantify the level of drought. Follow the link CC239 --> https://www.youtube.com/watch?v=1X9GGgOPKcI
22. Using the drop argument in count and group_by with factors to include missing data (Script: snow_seasonV2.R & .dropExample.R). Follow the link CC240 --> https://www.youtube.com/watch?v=q9Xq2fliEec&t=1s
23. Using the dplyr lag and lead function to find the length of drought (Script: drought_window.R). Follow the link CC245 --> https://www.youtube.com/watch?v=uNQ3fwnUQsE

The differences between the BASE R pipe & the magrittr pipe

1. The magrittr and base R pipe: what's the difference (Script: pipe_demo.R)? Follow the link CC241 --> https://www.youtube.com/watch?v=TmSwDAvPX2Q
2. A head to head comparison of the base R and magrittr pipe. Follow the link CC244 --> https://www.youtube.com/watch?v=IL31LG84i5M&t=984s

How to organize a directory in R by Prof. Pat

1. Three approaches to organize your R project. Follow the link CC178 --> https://www.youtube.com/watch?v=GeN-qqNLLsM

How to save package and environment in R

1. Using renv to track the version of your packages in R. Follow the link CC229 --> https://www.youtube.com/watch?v=yc7ZB4F_dc0&t=2s
2. How to create a conda or mamba environment for R programming to enhance reproducibility. Follow the link CC230 --> https://www.youtube.com/watch?v=QI2Qg_1aySc&t=170s

Enjoy learning R language!!

License

MIT