Spatial Data Analysis and Visualization in R

Visual Exploration, Analysis, and Presentation of Spatial Data using the tmap Package

Course URLs

PR Stats

instats

Provisional Schedule

	New York (EDT)	London (BST)	Amsterdam (CEST)	Day 1	Day 2	Day 3	Day 4
Block 1a	07:00–07:50	12:00–12:50	13:00–13:50	s1	s5	s9	s13
Short Break	07:50–08:10	12:50–13:10	13:50–14:10
Block 1b	08:10–09:00	13:10–14:00	14:10–15:00	s2	s6	s10 ex	s14
---	---	---	---	---	---	---	---
Long Break	09:00–10:00	14:00–15:00	15:00–16:00
---	---	---	---	---	---	---	---
Block 2a	10:00–10:50	15:00–15:50	16:00–16:50	s3	ex	s11	s15
Short Break	10:50–11:10	15:50–16:10	16:50–17:10
Block 2b	11:10–12:00	16:10–17:00	17:10–18:00	ex	s7	ex	ex
---	---	---	---	---	---	---	---
Long Break	12:00–13:00	17:00–18:00	18:00–19:00
---	---	---	---	---	---	---	---
Block 3a	13:00–13:50	18:00–18:50	19:00–19:50	s4	ex	s12	s16
Short Break	13:50–14:10	18:50–19:10	19:50–20:10
Block 3b	14:10–15:00	19:10–20:00	20:10–21:00	ex	8	ex	ex

Repo content

• Slides
• Exercises
• Data files
• Scripts (will be added during the course)

Most important resources

Package home pages

• tmap
• tmap.cartogram
• tmap.mapgl
• tmap.networks
• tmap.glyphs
• cols4all
• sf
• stars
• terra

Books

• Geocomputation with R Robin Lovelace, Jakub Nowosad and Jannes Muenchow
• Spatial Data Science - With Applications in R Edzer Pebesma and Roger Bivand