Julian Hoffmann Anton

is a creative Data Visualization Designer and Data Science Consultant, a specialist in 3D Data Visuals & Animations with a background in Economics & Urban Data Science. Aiming to make a positive impact on the world by presenting spatial data analytics through captivating visuals, including maps, networks, and charts. Always at the forefront of innovation, exploring cutting-edge open-source methods in 3D, Generative AI, Digital Art, and mixed media to transform the presentation of data.

German and Spanish, based in London, UK. Having lived in 8 countries around the globe he is now constructing real and imaginary worlds.

Studied a MSc in Smart Cities and Urban Analytics from the University College London (UK) and a BSc in Economics from Université Libre de Bruxelles (Belgium).

Featured
Mind-bending 3D Maps | Showreel

Showreel of Julian Hoffmann Anton's visual work!

Let's bring your insights to life!

Contact for collaborations: https://www.julian-hoffmann-anton.com/ Visuals made mainly with Blender, Photoshop and R.

A Clear View of Global Shipping Traffic

Global Shipping Traffic Density : this is an experimental visualisation made in Blender with all observed ship movement from 2015-2020, at 500 m resolution from IMF's World Seaborne Trade Monitoring System & also NASA‘s Black Marble satellite imagery. As you can see, the oceans and seas are transparent, creating a unique view that includes the other side of the globe.

The Great Fire of London (1666)
The Great Fire of London (1666)
Tokyo Eat Map
Tokyo Eat Map

The “Tokyo Eat Map” is an experimental data visualization in 3D with a “meta” reference to the data it displays. It represents the density of restaurants in central Tokyo on a map, morphed into a typical Japanese ramen dish. It is a mix of a heatmap, density map and contour visualization, embellished with artistic liberties.

I see it as a simple story of finding the right ramen restaurant within Tokyo’s culinary hotspots, and dreaming the delicious dish as a map or vice versa, the map as a dish.

The data is freely available from OpenStreetMap’s points of interest, specifically places labelled as “Restaurant”.

The first version which I have been enriching since was made as part of an online creative mapping challenge: 30DayMapChallenge November 2021. All made with open-source programmatical GIS tools in R, then modelled in Blender, an open-source 3D visual effects software, and finally edited and labelled in Photoshop for the final touch.

London Undeground
London Undeground

Artistic Visualisation of the London underground network, 2021. Made for the #30DayMapChallenge in Blender.

Downtown LA x Hollywood Elevation
Downtown LA x Hollywood Elevation

Concept visualisation

Greater Los Angeles Population

Population Density of Los Angeles 2025.

Visualisation made for GeoPostocode: get the data here! https://www.geopostcodes.com/population-by-zip-code/ Made in Blender, rendered in Cycles render engine. Behind the scenes soon: https://x.com/Julian_H0ffmann

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The Geology of the Moon

The Geology of the Moon | Lunalogy A concept visualization based on the "Unified Geologic Map of The Moon" by C.M. Fortezzo, P.D. Spudis, and S.L Harrel, 2019. This piece highlights a wide variety of geological features on our celestial neighbour. It’s fascinating to explore a distant world we can marvel at during a quiet afternoon, a special evening, or a magical night. Created for the #30DayMapChallenge - Space and Time. . Made in Blender, some #rstats, Adobe Illustrator & DaVinci Resolve. #GIS

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