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 [email protected] with any questions. -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
