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# README
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<!-- badges: start -->
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<!-- DOI: All versions. NOTYET -->
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[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.NOTYET (Latest Version Release)-blue "DOI")](https://doi.org/10.5281/NOTYET)
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[![ORCID](https://img.shields.io/badge/ORCID-0000--0002--3600--0972-A6CE39?logo=ORCID&logoColor=A6CE39 "ORCID")](https://orcid.org/0000-0002-3600-0972)
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[![Creative Commons CC BY-NC](imagse/CC_BY_NC.svg "CC BY-NC")](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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[![Launch Rstudio Binder](http://mybinder.org/badge_logo.svg "Launch RStudio Binder/Container")](https://mybinder.org/v2/gh/libjohn/mapping-with-R/master?urlpath=rstudio)
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Learning materials for the *Mapping with R* workshop, part of the [Rfun](https://rfun.library.duke.edu/) learning series hosted by the [Data & Visualization Services](https://library.duke.edu/data/) Department.
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The objective of this workshop is to introduce practical georeferencing (lat/long plotting) and thematic mapping. The principle library packages used will be: leaflet, tidycensus, sf, tmap, and ggmap
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## Outline
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1. Georeferencing with lat/lon points and leaflet
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1. Choropleth with TidyCensus
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1. Interactive Thematic Mapping with Simple Features
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## Resources
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- [Five great charts in 5 lines of R code each](https://www.r-bloggers.com/five-great-charts-in-5-lines-of-r-code-each/) by Sharon Maclis
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- [TidyCensus](https://walkerke.github.io/tidycensus/) by Kyle Walker
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- [`sf` package](https://r-spatial.github.io/sf/) -- Simple Features for R
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- [`mapview`](https://r-spatial.github.io/mapview/)
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- [Using tidycensus and leaflet to Map Census Data](https://juliasilge.com/blog/using-tidycensus/) by Julia Silge
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- [Geocomputation with R](https://geocompr.robinlovelace.net/) by Lovelace, Nowosad, Muenchow
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- [Converting XY Data with SF](https://ryanpeek.github.io/2017-08-03-converting-XY-data-with-sf-package/)
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- [Spatial Data Science](https://keen-swartz-3146c4.netlify.com/) by Pebesma & Bivand
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- Sharon Maclis - [Mapping in R just got a whole lot easier](https://www.computerworld.com/article/3175623/data-analytics/mapping-in-r-just-got-a-whole-lot-easier.html)
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- [Introduction to Spatial Data Types in R](https://cengel.github.io/rspatial/2_spDataTypes.nb.html#how-to-do-this-in-sf) by Claudia Engel
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- DataCamp.com's [Working with Geospatial Data in R](https://www.datacamp.com/courses/working-with-geospatial-data-in-r) by Charlotte Wickham
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- [Introduction to visualising spatial data in R](https://cran.r-project.org/doc/contrib/intro-spatial-rl.pdf). Lovelace, Cheshire, and Oldroyd
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- [tmap in a nutshell](https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html)
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- [viridis color palettes](https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html)
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