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MAPRPR

Making Beautiful and Effective Maps in R

Create Beautiful Maps in R – Static, Interactive & Animated

  • Duration: 16 Hours
  • Format: Recorded ‘on-demand’ Format

£350Registration Fee

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5.0

from 200+ reviews

  • Overview
  • Instructors
  • Schedule

Course Description

The aim of the course is to show you how to use R to make pretty, yet appealing maps using the R programming language. Several R packages related to spatial data processing and visualization will be introduced during the course. The course will teach you how create publication-ready static maps, animated maps, interactive maps, and simple map applications using a mixture of lectures and computer exercises.

What You’ll Learn

During the course we will cover the following:

  • Be able to create a variety types of static maps, including raster maps, choropleth maps, and point maps.
  • Know how to create interactive maps and simple map applications using the shiny package.
  • Be able to create facet maps and map animations to represent spatiotemporal phenomenon.
  • Know how to utilize specific-purpose mapping packages to create cartograms or grid maps.
  • Have the confidence to apply map making skills to their own projects.

Course Format

Flexible Learning Structure

Learn through a carefully structured mix of lecture recordings and guided exercises that you can pause, revisit, and complete at your own pace—ideal for busy professionals or those balancing multiple commitments.

Access Anytime, Anywhere

All course content is available on-demand, making it accessible across all time zones without the need to attend live sessions or adjust your schedule.

Independent Exploration with Support

Engage deeply with course topics through self-directed study, with the option to reach out to instructors via email for clarification or deeper discussion.

Comprehensive Learning Resources

Gain full access to the same high-quality materials provided in live sessions, including code, datasets, and presentation slides—all available to download and keep. Please note recordings can only be streamed.

Work With Your Own Data, On Your Terms

Apply what you learn directly to your own data projects as you go, allowing for a personalized and immediately practical learning experience.

Continued Guidance and Resource Access

Receive 30 days of post-enrolment email support and unrestricted access to all session recordings during that time, so you can review and reinforce your learning as needed.

Who Should Attend / Intended Audiences

This course is designed for academics and postgraduate students working on projects involving spatial data who wish to create publication-ready maps, interactive maps for websites, or simple mapping web applications. While prior knowledge of GIS concepts such as spatial vectors, rasters, and coordinate reference systems is helpful but not essential, attendees should ideally have experience with R, including reading CSV files, creating simple plots, and manipulating data frames. However, the course may also be suitable for those without R experience if they already use GIS software, have a strong understanding of geographic data types, and possess some programming experience.

 

Equipment and Software requirements

A laptop or desktop computer with a functioning installation of R and RStudio is required. Both R and RStudio are free, open-source programs compatible with Windows, macOS, and Linux systems.

While not essential, using a large monitor—or ideally a dual-monitor setup—can significantly enhance your learning experience by allowing you to view course materials and work in R simultaneously.

All necessary R packages will be introduced and installed during the workshop.

Download R Download RStudio Download Zoom

Jakub Nowosad

Jakub Nowosad

Jakub is a computational geographer whose work lies at the intersection of geocomputation, environmental science, and spatial data analysis. His research focuses on developing and applying spatial methods to improve understanding of environmental processes and patterns. A vital part of his work is creating, collaborating on, and improving geocomputational software, with a strong emphasis on reproducibility and accessibility.

He is an active member of the #rspatial community and co-author of the widely used books Geocomputation with R and Geocomputation with Python, which have become key resources for researchers and practitioners in spatial analysis. His contributions span methodological development, software implementation, and applied research in environmental and ecological sciences.

 

Education & Career
• PhD in Geography, Adam Mickiewicz University, Poland
• Associate Professor, Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poland

 

Research Focus
Jakub’s work centres on:
• Development and application of spatial methods for environmental and ecological data
• Geocomputation and the creation of reproducible, open-source spatial workflows
• Integration of spatial statistics, machine learning, and data science for environmental monitoring and modelling
• Improving accessibility and usability of geospatial software tools for research and teaching

 

Current Projects
• Developing open-source R packages for spatial data analysis and environmental modelling (e.g., spDataLarge, motif, and spatialexplain)
• Advancing reproducible methods for large-scale ecological and environmental datasets
• Co-authoring educational resources and materials to support geocomputation using programming languages
• Collaborating on interdisciplinary projects in ecology, geography, and data science

 

Professional Consultancy & Teaching
Jakub provides expert training in spatial data science and geocomputation for academic, professional, and applied research projects. He teaches a wide range of topics including:
• Geocomputation with R
• Spatial statistics and modelling
• Environmental applications of spatial analysis
• Reproducible research workflows in R and open-source tools

He also actively contributes to open-source communities and advocates for open, transparent, and collaborative science.

 

Links
• Website/Blog
• GitHub
• ResearchGate
• ORCID
• Mastodon

Session 1 – 01:20:00 – Introduction to mapping packages in R

Session 2 – 01:20:00 – Making static maps

Session 3 – 01:20:00 – Applying point, lines, polygons, and raster map layers

Session 4 – 01:20:00 – Customizing maps

Session 5 – 01:20:00 – Creating interactive maps

Session 6 – 01:20:00 – Saving maps

Session 7 – 01:20:00 – Making facet maps

Session 8 – 01:20:00 – Creating animated maps

Session 9 – 01:20:00 – Making inset maps

Session 10 – 01:20:00 – Using specific-purpose mapping packages

Session 11 – 01:20:00 – Creating simple map applications

Session 12 – 01:20:00 – Other mapping packages in R

Testimonials

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we've found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07

Testimonials

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we've found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07

Testimonials

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we've found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07

Frequently asked questions

Everything you need to know about the product and billing.

When will I receive instructions on how to join?

You’ll receive an email on the Friday before the course begins, with full instructions on how to join via Zoom. Please ensure you have Zoom installed in advance.

Do I need administrator rights on my computer?

Yes — administrator access is recommended, as you may need to install software during the course. If you don’t have admin rights, please contact us before the course begins and we’ll provide a list of software to install manually.

I’m attending the course live — will I also get access to the session recordings?

Yes. All participants will receive access to the recordings for 30 days after the course ends.

I can’t attend every live session — can I join some sessions live and catch up on others later?

Absolutely. You’re welcome to join the live sessions you can and use the recordings for those you miss. We do encourage attending live if possible, as it gives you the chance to ask questions and interact with the instructor. You’re also welcome to send questions by email after the sessions.

I’m in a different time zone and plan to follow the course via recordings. When will these be available?

We aim to upload recordings on the same day, but occasionally they may be available the following day.

I can’t attend live — how can I ask questions?

You can email the instructor with any questions. For more complex topics, we’re happy to arrange a short Zoom call at a time that works for both of you.

Will I receive a certificate?

Yes. All participants receive a digital certificate of attendance, which includes the course title, number of hours, course dates, and the instructor’s name.

When will I receive instructions on how to join?

You’ll receive an email on the Friday before the course begins, with full instructions on how to join via Zoom. Please ensure you have Zoom installed in advance.

Do I need administrator rights on my computer?

Yes — administrator access is recommended, as you may need to install software during the course. If you don’t have admin rights, please contact us before the course begins and we’ll provide a list of software to install manually.

I’m attending the course live — will I also get access to the session recordings?

Yes. All participants will receive access to the recordings for 30 days after the course ends.

I can’t attend every live session — can I join some sessions live and catch up on others later?

Absolutely. You’re welcome to join the live sessions you can and use the recordings for those you miss. We do encourage attending live if possible, as it gives you the chance to ask questions and interact with the instructor. You’re also welcome to send questions by email after the sessions.

I’m in a different time zone and plan to follow the course via recordings. When will these be available?

We aim to upload recordings on the same day, but occasionally they may be available the following day.

I can’t attend live — how can I ask questions?

You can email the instructor with any questions. For more complex topics, we’re happy to arrange a short Zoom call at a time that works for both of you.

Will I receive a certificate?

Yes. All participants receive a digital certificate of attendance, which includes the course title, number of hours, course dates, and the instructor’s name.

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£350.00
9th May 2036 - 11th May 2036
Recorded, United Kingdom
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