GIS 101: Mapping data points in R

In this beginner's tutorial, I take you on a journey from loading and cleaning up the Geonames database to slicing and dicing the data to create an effective and pretty bubble map in R!
0:00 Intro
0:42 Data source
2:10 Load packages
3:02 Import data
5:20 Create lat/long fields
6:54 Basic map
7:33 Filter
8:57 Point-in-polygon
10:03 Add circle size
11:15 Change alpha value
12:00 Create labels I
13:00 Create labels II
13:47 Plot labeled map
15:14 Final map
17:37 Closing
Check the full code in my GitHub repo: github.com/milos-agathon/how-...
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Music credits go to:
"Tokyo Music Walker - Way Home" is under a Creative Commons (CC-BY) license.
@tokyomusicwalker
Music promoted by BreakingCopyright: bit.ly/way-home-song

[@franciscobrena5696]

I hardly ever comment youtube videos but your work and the way you share it are remarkable. Cheers man!

[@milos-makes-maps]

Wow, thanks you for your positive feedback! I'm thrilled that my tutorial inspired you. Cheers!

[@riccardoconcina6395]

Dropping a comment to push the algorithm, great video.

[@milos-makes-maps]

Thank you for your generous support, Riccardo! I really hope that my channel will be helpful to you

[@Aaqib..]

I'm really grateful for these tutorials 🎁 thankyou so much sir

[@milos-makes-maps]

Happy to help you!

[@ekku35]

Amazing tutorial! Please keep it up! Greetings from Costa Rica!

[@milos-makes-maps]

Thank you! This helps me to keep moving forward ⏩

[@lbarq]

Great tutorial. I look forward to what might come next.

[@milos-makes-maps]

Thank you for your support! I'm happy that you found it useful

[@AleksPopovic]

Awesome tutorial Milos, keep it up!

[@milos-makes-maps]

Thanks man! Really appreciate the support coming from such a brilliant KZbinr like you

[@mahatmaalimibrahim6631]

Great tutorial. Thank you

[@milos-makes-maps]

My pleasure! I hope my tutorial will help you in your work

[@alcor2180]

Thanks a lot for this wonderful tutorial :) Could we use separate_wider_delim(cols = "coords", delim = ",", names =c("lat", "long")) instead of using the stringr::str_split_fixed function. So we can modify the dataframe in place without using a supplementary mutate function. Furthermore the stringr package loading is unnecessary because it is included in the tidyverse package.

[@milos-makes-maps]

Hi alcor, I'm glad you liked the tutorial. Thank you for sharing your alternative method for separating columns in a dataframe. I agree that using `separate_wider_delim` from the `tidyrverse` package is a more concise and efficient way to do it. I appreciate your feedback and suggestion. Have a great day! :)

[@sandunpriyankarasomarathna9281]

Sir, can I get a link of data source

[@milos-makes-maps]

Sure, here is the link to the table: public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/table/?disjunctive.cou_name_en&sort=name

[@sandunpriyankarasomarathna9281]

thank you sir@@milos-makes-maps