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index.qmd
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---
title: "Mapping in R"
date-modified: 'today'
date-format: long
license: CC BY-NC
---
## Overview
These learning and quick-reference resource pages support the face-to-face workshop, [Mapping with R](https://rfun.library.duke.edu/portfolio/mapping_workshop/), offered via the [Center for Data & Visualization Sciences](https://library.duke.edu/data/), Duke University Libraries. The exercises and workshop are designed to help you learn georeferencing, make a [choropleth](https://en.wikipedia.org/wiki/Choropleth_map) with USA census data via the [tidycensus](https://walkerke.github.io/tidycensus/) package, and briefly introduce the [sf](http://r-spatial.github.io/sf/) package, simple features.
<iframe height="315" width="560" src="https://warpwire.duke.edu/w/JZ8EAA/" frameborder="0" scrolling="0" allow="autoplay; encrypted-media; fullscreen; picture-in-picture;" allowfullscreen>
</iframe>
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[![Box code repository](https://img.shields.io/badge/workshop code repository-blue?logo=box&labelColor=lightgrey&color=0061D5 "Box code repository")](https://duke.box.com/v/r-mapping-spring22)
<!-- badges: end -->
### Geospatial data in R: Processing and Analysis
<iframe height="315" width="560" src="https://warpwire.duke.edu/w/cUoFAA/" frameborder="0" scrolling="0" allow="autoplay *; encrypted-media *; fullscreen *; picture-in-picture *;" allowfullscreen>
</iframe>
<!-- badges: start -->
[![](https://img.shields.io/badge/workshop code repository-blue?logo=box&labelColor=lightgrey&color=0061D5 "Box code repository")](https://duke.box.com/v/r-geo-spring2022)
<!-- badges: end -->