Geospatial Analysis with R

class: center, middle, inverse, title-slide

.title[
# Geospatial Analysis with R
]
.subtitle[
## Class 1
]

---

```r
library(raster)
library(viridis)
ghana_dem <- getData(name = "alt", country = "GHA")
png("inst/slides/figures/ghana-dem.png", bg = "transparent", height = 4, 
    width = 3, res = 300, units = "in")
par(mar = c(3, 0, 0, 0))
plot(as(extent(ghana_dem), "SpatialPolygons"), lty = 0)
plot(ghana_dem, col = magma(100), add = TRUE, axes = FALSE, box = FALSE, 
     legend = FALSE)
plot(ghana_dem, col = magma(100), legend.only = TRUE, horizontal = TRUE, 
     axis.args = list(col.axis = "white", col = "white", las = 2), 
     legend.args = list(text = "", col = "white"))
dev.off()
```

---

## Class Overview

- By the end of this class, you should:
    - Be comfortable in working with R, including most common geospatial functions
    - Have a good sense of where R is headed as a language
    - Know where to look when don't know how to do something
    - Be using R as part of a ___reproducible___ workflow

- Course approach
    - (Largely) flipped model and emphasis on problem solving
        - Programming should be fun! (or at least intriguing)
    - Lab and office hours as help sessions

---

## Reproducibility 1

---

## Reproducibility 2
<img src="figures/class1_2.png" width="50%" style="display: block; margin: auto;" />
---

## Course Requirements

- Let's have a look at the [Syllabus](syllabus.html)
- Basic policies
    - Attendance and communication
    - Attention to detail

---

## Projects
- Projects [page](projects.html)

---

## Getting Set Up/Homework

- [README](https://github.com/agroimpacts/geospaar)
- Get yourself a GitHub account, if you haven't
- Send us your GitHub name (**!!**)
- Install all necessary software on your local computer(s).
- Set up your [personal access token](https://agroimpacts.github.io/geospaar/git-github.html)
- **Read** Unit1-Module 1 before section 3.2.1, section 1.7 Style in Syllabus, and cheatsheet of RStudio and R markdown.