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osm-slides.qmd
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---
# Slide format:
format: revealjs
title: Tidy geographic data
subtitle: "with sf, dplyr, ggplot2, geos and friends"
bibliography: references.bib
---
# Introduction
## Session overview
Source: [pretalx.earthmonitor.org/opengeohub-summer-school-2023/schedule/v/0.7/](https://pretalx.earthmonitor.org/opengeohub-summer-school-2023/schedule/v/0.7/)
## System dependencies
Source: @pebesma2018
## Development environments
<!-- 2 columns in Quarto doc: -->
## RStudio
## VS Code
# Part 1: sf + dplyr
## Key features of `sf`
Source: @lovelace2019
## `sf` functions
Source: @pebesma2018
## `sf` + `dplyr` workflow
Mermaid graph:
``` mermaid
graph LR
A[Read data] --> B[Transform data]
B --> C[Visualize data]
```
## Practical (\~13:30-14:30)
Work through the code at [ogh23.robinlovelace.net/tidy](https://ogh23.robinlovelace.net/tidy) and answer the questions at your own pace.
```{r}
#| message: false
#| warning: false
# Install remotes if not already installed
if (!requireNamespace("remotes")) {
install.packages("remotes")
}
```
```{r}
#| eval: false
#| echo: true
remotes::install_cran(pkgs)
```
```{r}
#| echo: true
#| message: false
#| warning: false
# The packages we'll use
pkgs = c(
"sf",
"tidyverse",
"geos",
"data.table",
"spData"
)
sapply(pkgs, require, character.only = TRUE)
```
# Part 2: and friends
## tidyverse alternatives
...
## geos
...
# References