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| 1 | +# README |
| 2 | + |
| 3 | +<!-- badges: start --> |
| 4 | +<!-- DOI: All versions. NOTYET --> |
| 5 | +[-blue "DOI")](https://doi.org/10.5281/NOTYET) |
| 6 | + |
| 7 | +[](https://orcid.org/0000-0002-3600-0972) |
| 8 | + |
| 9 | +[](https://creativecommons.org/licenses/by-nc-nd/4.0/) |
| 10 | + |
| 11 | +[](https://mybinder.org/v2/gh/libjohn/mapping-with-R/master?urlpath=rstudio) |
| 12 | +<!-- badges: end --> |
| 13 | + |
| 14 | +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. |
| 15 | + |
| 16 | +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 |
| 17 | + |
| 18 | + |
| 19 | +## Outline |
| 20 | +1. Georeferencing with lat/lon points and leaflet |
| 21 | +1. Choropleth with TidyCensus |
| 22 | +1. Interactive Thematic Mapping with Simple Features |
| 23 | + |
| 24 | + |
| 25 | +## Resources |
| 26 | + |
| 27 | +- [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 |
| 28 | +- [TidyCensus](https://walkerke.github.io/tidycensus/) by Kyle Walker |
| 29 | +- [`sf` package](https://r-spatial.github.io/sf/) -- Simple Features for R |
| 30 | +- [`mapview`](https://r-spatial.github.io/mapview/) |
| 31 | +- [Using tidycensus and leaflet to Map Census Data](https://juliasilge.com/blog/using-tidycensus/) by Julia Silge |
| 32 | +- [Geocomputation with R](https://geocompr.robinlovelace.net/) by Lovelace, Nowosad, Muenchow |
| 33 | +- [Converting XY Data with SF](https://ryanpeek.github.io/2017-08-03-converting-XY-data-with-sf-package/) |
| 34 | +- [Spatial Data Science](https://keen-swartz-3146c4.netlify.com/) by Pebesma & Bivand |
| 35 | +- 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) |
| 36 | +- [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 |
| 37 | +- DataCamp.com's [Working with Geospatial Data in R](https://www.datacamp.com/courses/working-with-geospatial-data-in-r) by Charlotte Wickham |
| 38 | +- [Introduction to visualising spatial data in R](https://cran.r-project.org/doc/contrib/intro-spatial-rl.pdf). Lovelace, Cheshire, and Oldroyd |
| 39 | +- [tmap in a nutshell](https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html) |
| 40 | +- [viridis color palettes](https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html) |
| 41 | + |
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