Tidy geographic data

with sf, dplyr, ggplot2, geos and friends

Introduction

Session overview

Source: pretalx.earthmonitor.org/opengeohub-summer-school-2023/schedule/v/0.7/

System dependencies

Source: Pebesma (2018)

Development environments

RStudio

VS Code

Part 1: sf + dplyr

Key features of `sf`

Source: Lovelace, Nowosad, and Muenchow (2019)

`sf` functions

Source: Pebesma (2018)

`sf` + `dplyr` workflow

Mermaid graph:

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 and answer the questions at your own pace.

remotes::install_cran(pkgs)

# The packages we'll use
pkgs = c(
    "sf",
    "tidyverse",
    "geos",
    "data.table",
    "spData"
)
sapply(pkgs, require, character.only = TRUE)

        sf  tidyverse       geos data.table     spData 
      TRUE       TRUE       TRUE       TRUE       TRUE

Part 2: and friends

tidyverse alternatives

…

geos

…

References

Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with R. CRC Press. https://r.geocompx.org/.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal. https://journal.r-project.org/archive/2018/RJ-2018-009/index.html.

Tidy geographic data with sf, dplyr, ggplot2, geos and friends

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Tidy geographic data
Introduction
Session overview
System dependencies
Development environments
RStudio
VS Code
Part 1: sf + dplyr
Key features of sf
sf functions
sf + dplyr workflow
Practical (~13:30-14:30)
Part 2: and friends
tidyverse alternatives
geos
References

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