A detailed thematic map of Switzerland visualizing 2020 population distribution using a logarithmic color scale over a shaded relief background. Bright orange and yellow tones indicate high population density areas like Zurich, Geneva, and Basel, while purple and black tones highlight sparsely populated alpine regions. The map includes a north arrow, population legend, and scale bar (80 km). Elevation is represented through 3D hillshading derived from SRTM data. Data sources: WorldPop 100m constrained grid (2020); SRTM via the elevatr R package. Map design: Milos Popovic (YouTube: Milos Makes Maps).

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This tutorial will level up your skills and show you how to build animated wind maps from scratch. Watch it here: https://lnkd.in/e_8QaFn6 And if you’re ready to go deeper into the world of spatial data, check out my new book: Mapping Worlds with R: Your Journey from Beginner to Data Cartographer It’s packed with real projects, full code, and clear explanations for every step of the map-making process. Grab the book: https://payhip.com/b/MH9Ot Let’s catch the breeze, beautifully, in R. #rstats #GIS #DataVisualization #ClimateData #ERA5 #gganimate #WindMapping #Geospatial #EnvironmentalScience #OpenData #MilosMakesMaps #MappingWithR

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youtu.be/EmVbVTqwoMU

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