https://github.com/angela-li/rladies-spatial-data

Materials for spatial data analysis talk for R-Ladies Chicago, April 2018
https://github.com/angela-li/rladies-spatial-data

Last synced: 30 days ago
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Materials for spatial data analysis talk for R-Ladies Chicago, April 2018

• Host: GitHub
• URL: https://github.com/angela-li/rladies-spatial-data
• Owner: angela-li
• Created: 2018-04-26T15:42:52.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-04-30T15:32:02.000Z (over 6 years ago)
• Last Synced: 2024-05-21T06:29:41.414Z (6 months ago)
• Language: HTML
• Size: 8.17 MB
• Stars: 16
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction to Spatial Data Analysis and Mapping in R 🌎

I gave a talk to R-Ladies Chicago on April 26, 2018 about cool new things in [#rspatial](https://twitter.com/search?q=%23rspatial), like the `sf` and `tmap` packages. Here are the slides from the Meetup - let me know if there are any typos or things I need to fix.

**I'd also like to start building the #rspatialladies community! If you identify as female/non-binary, please join our Slack channel [at this link](https://join.slack.com/t/r-spatialladies/shared_invite/enQtMzU1MTIwMjU2NzUyLTBkZjU1NDFiZGU3YzNmN2Y0Y2NiYTM2Njk2ZjI5M2IyMTNiNjI3ZDQ4MzEyMjQxNjM2YWU2ZGVkZWRiYmU1ZDM), and invite women you think would be interested.**

[![](images/slide-title.png)](https://angela-li.github.io/slides/2018-04-26/rladies-spatial-data)

References

=================

Thank you to Alison Hill for awesome [R-Ladies presentation slides](https://github.com/rladies/resources/blob/master/xaringan-slides/how_to_use.Rmd). These are a great resource if you're interested in speaking at a R-Ladies Meetup in the future.

Big thanks also to Jakub Nowosad for [great intro slides on R for GIS](https://nowosad.github.io/presentations). I went through these for inspiration, but I learned a lot from doing so.

Check out the forthcoming [Geocomputation with R](https://geocompr.robinlovelace.net) book for more details about this spatial stuff.

Here's the documentation for [sf](https://r-spatial.github.io/sf/) and for [tmap](https://github.com/mtennekes/tmap) in case you're interested in a deeper dive.

A good source of spatial data is my research center's data website, which can be found at [GeoDa Center Data and Lab](https://geodacenter.github.io/data-and-lab/).

Get in contact

=================

Find me on Twitter [@CivicAngela](https://twitter.com/CivicAngela) and email me at angela [at] rladies.org!