Mapping Worlds with R: Your Journey from Beginner to Data Cartographer-examples

You will find all the scripts organized by chapter of my book "Mapping Worlds with R: Your Journey from Beginner to Data Cartographer" in this GitHub repo.

Whether you’re a total newcomer to coding or an experienced analyst who’s never made a map, Mapping the World with R turns “I-wish-I-could-do-that” into “I-just-did-that.” In crisp and straightforward language, it shows you exactly how to install R, wrangle real-world spatial data, and publish beautiful, ethical maps—step by step, project by project.

What You’ll Create & Learn

11 hands-on projects that start with “Hello, mapper!” and finish with slick, publish-ready visualizations. Dozens of bite-size exercises so you can practice each new skill the moment you meet it (skip the theory tunnel, build muscle memory instead). Authentic data, served automatically via R packages: no dead links or dummy CSVs. You’ll learn to cope with messy, real-life datasets the way professionals do. Clear, fully annotated code in every chapter, plus a companion GitHub repo you can clone, tweak, and remix.

Why This Book Sells Itself

• Problem-solving DNA – every chapter starts with a mapping dilemma and walks you through the fix, so you always know why you’re learning each technique.
• Beginner-proof pacing – short digestible chunks, zero jargon, and friendly nudges that keep you moving forward.
• Instant-download convenience – sold as a DRM-free PDF so you can read it on any device, annotate freely, and search like a pro. Lifetime updates – buy once, get every future revision at no extra cost via Payhip’s “update existing product” feature

Who It’s For

• Absolute Beginners
• Data-Curious Student
• Researchers/Analysts
• Designers/Storytellers

What You Get

• A no-fear setup guide and your very first working map within an hour.
• A plug-and-play portfolio of maps for class projects or job interviews.
• A repeatable workflow for cleaning, joining, and visualizing spatial data ethically.
• Practical color, projection, and layout tips that make your maps sing.

Quick Facts

• Format: PDF + GitHub repo
• Length: 233 pages, full color
• Skill Level: True beginner → proficient mapper
• Software Needed: Free R & RStudio (easy install instructions included)
• License: Personal use, unlimited devices

Ready to turn raw data into persuasive, publication-ready maps?

Get your copy here: https://payhip.com/b/MH9Ot

(Need a sneak peek? Read Intro and Chapter 1 before you commit here: https://milospopovic.net/research/book_sample.pdf