Spatial Data and Visualization

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# Spatial Data and Visualization
### Bora Jin

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<a href="https://introds.org" target="_blank">introds.org</a>
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## Material

🎥 Watch [Spatial Data](https://warpwire.duke.edu/w/Yw4GAA/)

- [Slides](https://sta199-summer22.netlify.app/slides/spatial.html#1)

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## Today's Goal

- Understand spatial data frame structure
- Be able to create a visualization from a spatial data frame

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## Spatial Data are Interesting and Important!

- Straightforward visualization through maps
- Help detecting spatial trends 
- Many real examples have spatial patterns 
    - air pollutants 
    - water pollutants 
    - disease spread 
    - home sales prices
    - `\(\cdots\)`
- Analyses of such data should account for their spatial relationships

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## Quiz

**Q - Which package are we going to use in this class to work with spatial data?**

`library(sf)`

- represents "simple features" as records in a `data.frame` or `tibble` with a **geometry** column
  - simple features can contain both spatial and non-spatial data
- compatible with `dplyr` functions we've learnt
- functions begin with `st_`
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- how to draw an `sf` object in ggplot?

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`geom_sf()`

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## Quiz

**Q - What do you need to check before visualizing and wrangling multiple `sf` objects?**

Coordinate reference system (CRS) - they should match

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# Questions?

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## Hot Keys

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## Let's Practice Together!

Go to [AE 07: Spatial Data and Visualization](https://sta199-summer22.netlify.app/appex/ae07_BJ.html)

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## Bulletin

- Lab 02 due tonight at 11:59pm

- Submit your `ae07`

- Watch videos for [Prepare: May 23](https://sta199-summer22.netlify.app/prepare/week03_may23_BJ.html)

- HW 01 due Tuesday, May 24 at 11:59pm

- General questions about GitHub `\(\rightarrow\)` Slack

- Personal matter `\(\rightarrow\)` email me with "STA199" in the subject

- Late submission for HW and Lab assignments up to three days with 10% deduction for each 24-hour period