mapping-with-R/software_prereqs.Rmd at master · engine143/mapping-with-R · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
---
title: "Prequisites"
output: html_document
---
We employ the [Tidyverse](//www.tidyverse.org/) approach throughout the *Mapping with R* workshop and **we assume you are already familiar with *Tidyverse* R**.  If not, please review our [Introduction to R](https://rfun.library.duke.edu/intro2r/) in advance of the workshop.

## Software

> If you need help installing these applications/packages, please refer to these very handy and [brief video installation instructions](https://tutorials.shinyapps.io/00-setup/).

**If you are not attending** the workshop **in person**, you will need to install the following software to complete the hands-on portions of the workshop.

- **R**: <a href="https://cran.r-project.org/"" target="_blank">https://cran.r-project.org/</a>

- **RStudio**: <a href="https://www.rstudio.com/products/rstudio/download/#download" target="_blank">https://www.rstudio.com/products/rstudio/download/#download</a>.  Technically, you can do all the work without RStudio.  However, the code was composed, run, and tested in RStudio. (I can verify this configuration.  Others may work. YMMV.)

## Packages
The packages used for this workshop and website are listed in the Session Info section below.  **However**, the primary mapping packages include:

    - tidyverse
    - mapview
    - leaflet
    - tidycensus
    - sf
    - tmap
    - tmaptools
    - tigris
    - ggplot2
    - viridis

## Workshop Philosophy

*Mapping with R* is a two hour workshop, part of the R learning series entitled [*R We Having Fun Yet‽*](https://rfun.library.duke.edu/) hosted by the [Data & Visualization Services Department](https://library.duke.edu/data/) at the Duke University Libraries.  We will approach R using the free RStudio IDE, an intent to make reproducible literate code, and a bias towards the tidyverse. We believe this open tool-set provides a context that enables and reinforces reproducible workflows, analysis, and reporting.

As part of the workshop we create opportunities for reinforced active learning by creating [hands-on exercises](exercises.html).  You will have time to complete these exercises during the workshop.

## Recordings, Repository, Shareable datasets

There's a link to the repository in the upper right-hand header.

You can find links to previous recordings of this workshop, along with links to the shareable data sets, at the [mapping section](https://rfun.library.duke.edu/portfolio/mapping_workshop/) of the Rfun site.  Similarly, you will find links to our broader array of workshop resources at the the *Guides* or *Workshops* sections of our [DVS website](https://library.duke.edu/data/)

All code and data for this website and workshop are shareable through the repository under the [CC-By-NC license](license.html).

## Session Info

Listed below are the library **(packages) and session info** used to execute the code in the workshop and create this documentation


```{r session-info}
sessioninfo::session_info()
```