ONLINE COURSE - Visual Exploration, Analysis, and Presentation of Spatial Data using the ‘tmap’ Package (TMAP01)
<https://www.prstats.org/course/online-course-stable-isotope-mixing-models-using-siber-siar-mixsiar-simm11/> https://www.prstats.org/course/visual-exploration-analysis-and-presentation-of-spatial-data-using-the-tmap-package-tmap01/ 6th - 9th May 2025 Instructor - Dr Martijn Tennekes COURSE OVERVIEW: 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. DAY 1 - *Classes from 12:00 – 20:00 UK local time* *Getting started * - Overview of the core R packages for spatial data analysis and visualisation. - Overview of resources: online books, Stack Overflow, GitHub, etc. - Methodology of spatial data visualisation. - Creating common thematic map types using the R package *tmap*. - Exploring colour palettes with the R package *cols4all*. *DAY 2 - **Classes from 12:00 – 20:00 **UK local time* *Visualisation of spatial vector data in R* - Introduction to map projections (coordinate reference systems). - Working with vector data in R using the *sf* package. - Reading and writing spatial vector data in various formats. - Joining spatial and non-spatial data. - Geospatial data manipulations. - Visualisation of vector data with *tmap*. - Using basemaps in *tmap*. - Creating cartograms with the R package *tmap.cartogram*. *DAY 3 - **Classes from 12:00 – 20:00 **UK local time* *Visualisation of spatial raster data in R* - Working with raster data in R using the *terra* package. - Working with spatiotemporal data cubes in R using the *stars* package. - Reading and writing spatial raster data in various formats. - Downsampling, warping, and transforming raster data. - Converting spatial vector data to raster data and vice versa. - Visualisation of raster data with *tmap*. *DAY 4 - **Classes from 12:00 – 20:00 **UK local time* *Finalising and exporting maps* - Exporting static maps to various formats, including bitmap (JPG, PNG) and vector formats (SVG, PDF). - Exporting interactive maps to HTML. - Integrating *tmap* with the R package *shiny* for dashboards. - Fine-tuning map layouts for high-quality publications. - Extensibility of *tmap* Please email oliverhoo...@prstatistics.com with any questions. -- Oliver Hooker PhD. PR stats To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
