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Visual Exploration, Analysis, and Presentation of Spatial Data using the ‘tmap’ Package (TMAP01) Martijn Tennekes

Oliver Hooker 
ONLINE COURSE ? Visual Exploration, Analysis, and Presentation of Spatial
Data using the ?tmap? Package (TMAP01)

https://www.prstats.org/course/visual-exploration-analysis-and-presentation-of-spatial-data-using-the-tmap-package-tmap01/

Instructor - Dr. Martijn Tennekes (author of the tmap package)

6th - 9th May 2025

Please feel free to share!

ABOUT THIS COURSE - R statistical software is becoming increasingly popular
for spatial analysis and visualization?and for good reason. It is
reproducible, flexible, and supported by a vast ecosystem of R packages
dedicated to spatial data. An essential part of working with spatial data
is visualization, not only for communication but also for exploration and
analysis. This in-depth course focuses on the R package *tmap*, one of the
most widely used packages for spatial data visualization. The course covers
all key steps, from reading spatial data to publishing high-resolution
static maps or interactive maps that can be embedded in web articles and
dashboards. Participants will work with essential spatial data packages in
particular *sf*, *terra*, and *stars*. The course also addresses key
methodological aspects of spatial data visualization, including map
projections, selecting the most appropriate visualization method for a
given task, and choosing color schemes that account for accessibility and
cultural considerations. Innovative spatial visualization techniques are
also explored, including cartograms, grid maps (also known as
origin-destination maps), and glyph-based visualizations.

By the end of the course, participants will:

   - Know how to use the core packages *sf*, *terra*, and *stars* to read
   and process spatial data in R, including joining data sources and
   performing geospatial data manipulations.
   - Be able to use *tmap* for exploring, analysing, and presenting spatial
   data.
   - Create various types of thematic maps.
   - Understand the methodological advantages and limitations of different
   map types, enabling informed decisions based on data characteristics and
   target users.
   - Recognize key considerations when selecting a suitable colour palette.
   - Be able to fine-tune map layouts in *tmap*, including adding map
   components, customizing legends, and incorporating map insets.
   - Know how to export maps in various static and interactive formats.

Please email oliverhooker at prstatistics.com with any questions.