Jonas Oesch
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jonasoesch.ch
Jonas Oesch
@jonasoesch.ch
190 followers 130 following 25 posts
Visual journalist at @visuals.nzz.ch

Personal: jonasoesch.ch
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jonasoesch.ch
A rough 3D reconstruction of «Le Constellation» in Crans-Montana.

Using publicly available photos, videos and plans @simonhuwiler.ch, Forrest Rogers and I reconstructed the bar’s layout and approximate dimensions.

www.nzz.ch/visuals/aktu...
January 3, 2026 at 9:50 AM
Reposted by Jonas Oesch
rsimmon.bsky.social
Brilliant choice of bivariate color palette in this map of water stress from @wriclimate.bsky.social & ESRI.

I love how it draws attention to areas with high demand for water with saturated colors, & distinguishes low & high availability with a striking change in hue.

via @dantoearth.bsky.social
Map of water availability and water stress in South America. The map uses a bivariate color palette with dark blue indicating high water availability and demand, light blue/cyan indicating high water availability and low demand, gray showing low water availability and demand, and orange indicating low water availability with high water demand. Most of the Amazon is low water stress. Atlantic Brazil, the west coast bordering the Andes, and the pampas region have the most water stress. Map of water availability and water demand in North America. The map uses a bivariate color palette with dark blue indicating high water availability and demand, light blue/cyan indicating high water availability and low demand, gray showing low water availability and demand, and orange indicating low water availability with high water demand. Most of the Amazon is low water stress. Mexico and the U.S. northern plains and southwest have the most water stress. The Pacific Northwest, Great Lakes region, and northeast/Atlantic regions have high demand and availability. Alaska and northern Canada have high availability and low demand, except for the Alaskan North slope with lower availability and higher demand.
December 15, 2025 at 4:16 PM
jonasoesch.ch
How the Swiss National Council has shifted over time: Analyzing every vote since 2004 shows that party differences have become more distinct, with fewer overlaps than in earlier years. www.nzz.ch/visuals/parl...
A ridgeline or joyplot showing the biggest parties in the Swiss National Council. The y-axis show the years sind 2004. The x-axis shows positioning from right to left. The curves indicate how members of different parties have voted.
December 3, 2025 at 1:31 PM
jonasoesch.ch
Why Visual Journalism is so slow?

I've tracked every hour I worked on an article for two weeks last year. Most of my time did not go into graphics production but in researching and analyzing data.

The detailed breakdown and some ideas how to speed up the process: nightingaledvs.com/why-visual-j...
August 28, 2025 at 10:05 AM
jonasoesch.ch
With the discussion on the future of Datavis, I enjoyed the historical perspective given by @statmodeling.bsky.social and Susan Kruglinski here: nightingaledvs.com/statistical-... 1/2
Statistical Graphics and Comics: Parallel Histories of Visual Storytelling, Nightingale
What do data visualization and comics have in common? One of these is used to communicate in science and journalism, and the other appears in fine art and...
nightingaledvs.com
August 15, 2025 at 12:38 PM
jonasoesch.ch
The balance of power in the Middle East has been shifting for some time. Iran’s allies are eroding, but its former rival Saudi Arabia is warming relations.

Explore our updated interactive map: www.nzz.ch/english/inte...
Map of the middle east. Showing the axis of resistance and that the Hamas, Hezbollah, and former Syrian Army have been weakened. Screenshot of an interactive map of the Middle East.
June 20, 2025 at 3:17 PM
Reposted by Jonas Oesch
visuals.nzz.ch
2 Millionen Kubikmeter Gestein sind bereits bei Blatten abgebrochen, weitere 2 bis 4 Millionen Kubikmeter instabiles Material befinden sich noch am Berg. Wie gehts weiter? Die Szenarien von @jonasoesch.ch, @rolandshaw.bsky.social und Jan Ludwig.
www.nzz.ch/visuals/die-...
@nzz.ch
May 22, 2025 at 6:34 AM
Reposted by Jonas Oesch
datawrapper.de
🗺️ If you’re a map enthusiast, be sure to read this week’s Data Vis Dispatch! You’ll also find charts on government spending, measles, and the Arctic. 🐻‍❄️🧊

www.datawrapper.de/blog/data-vi...
A map of Greenland, showing ice coverage and glacier movement speed in meters per year. Made by Perrin Remonté. Four bar charts combined with a map each, showing common migration routes to the EU and how many people have been taking them since 2017. Published by Die Zeit. A choropleth map of the U.S., showing areas with risk of climate-related hazards and public anxiety about climate change, among other things. For example, counties near coasts show a correlation between high anxiety and high exposure. Published by maps.com. Several world maps with different projections and layouts, from a study on designs for readers using mobile devices by Neue Zürcher Zeitung.
May 20, 2025 at 4:28 PM
Reposted by Jonas Oesch
worrydream.com
Computational Public Space. A talk about a values-driven approach to integrating computation into cities. (40 min)
www.youtube.com/watch?v=PixP...
Computational Public Space
YouTube video by Dynamicland
www.youtube.com
May 15, 2025 at 5:33 PM
Reposted by Jonas Oesch
thomasansart.bsky.social
Very nice!
A few years back we faced the same problem and tried different solutions.
From using a different projection to cutting the map and even rotating it.
espace-mondial-atlas.sciencespo.fr/en/topic-res...
Natural Earth + cutting Projection Buckminster Fuller + rotation Natural Earth > Atlantis Two orthographic
April 28, 2025 at 9:39 AM
Reposted by Jonas Oesch
harrystevens.bsky.social
A trick for fitting world maps on phones:

Stack two azimuthal equal-area projections, clipped at 90° longitude, each one rotated 180° from the other.

The bottom map covers the top's Antarctica, which reduces the total height and looks nice.

As seen in www.nytimes.com/2025/04/25/c...
April 27, 2025 at 1:23 AM
jonasoesch.ch
Better world maps for mobile!
Despite years of mobile-first design, there’s been little experimentation in this area. So we designed our own at NZZ – and validated it in a large user study.
Summary of the paper: jonasoesch.ch/articles/the... 1/3
Two smartphones displaying alternative thematic world maps. The left screen shows a split-continent map with countries grouped and resized by region (e.g., Europe, Africa, Asia) using color to indicate data levels (legend: Hoch, Mittel, Tief, Sehr tief). Smaller countries like Rwanda and Panama are clearly labeled and more visible due to the rearranged layout. The right screen displays a bubble map, where countries are represented by circles scaled to population size and shaded by data intensity. Larger countries like China and the U.S. have prominent bubbles, while smaller countries remain visible. Labels indicate population figures for Switzerland and China.
May 14, 2025 at 9:38 AM
Reposted by Jonas Oesch
feodorateti.bsky.social
What if the U.S. adjusted its tariffs on Germany and Switzerland to match what those countries charge?
This NZZ chart by @florianseliger.bsky.social &
@jonasoesch.ch shows how U.S. tariffs would rise under 3 "reciprocity" scenarios using my data from the Global Tariff Database
👇
March 31, 2025 at 7:30 PM
Reposted by Jonas Oesch
wattenberg.bsky.social
Now that we have vibe coding, we need vibe testing!
March 24, 2025 at 7:45 PM
jonasoesch.ch
In recent months, Internet cables in the Baltic Sea have been damaged multiple times — Russian sabotage is suspected. But how does that work?

Together with @cianjochem.bsky.social & @lukasmaeder.bsky.social , we visualized one case (inspired by Reuters 🤩)

www.nzz.ch/ld.1875983
Infographic with a cable ship from above Map showing the route of a Russian ship through the baltic sea and where it passed subsea cables.
March 21, 2025 at 3:37 PM
Reposted by Jonas Oesch
shirleywu.studio
two weeks ago I published www.shirleywu.studio/notebook/202... re: plateau in innovation I've felt in #dataviz last few years.

I've been furiously working on the follow-up (so many thoughts!) & it'll finally be out next Monday 🎉 if you'd like an email notification: www.shirleywu.studio/notebook
what killed innovation?: the past decade of interactive graphics, a brief recounting - Shirley Wu
Over the past decade, interactive data visualization has gone from bold experimentation to polished, predictable formats. I’ve been reflecting on why—and after speaking with some of the best in the fi...
www.shirleywu.studio
March 21, 2025 at 8:04 AM
Reposted by Jonas Oesch
ansgarw.bsky.social
🏠 Nice & clean → relatively low rent?
🏡 Gorgeous & beautiful → really expensive?

Which adjectives in Craigslist rental posts for SF Bay Area go with which prices?

#TidyTuesday | 2022 week 27
Nice and clean - relatively low rent? Adjectives used to describe houses and apartments in the San Francisco Bay Area in the titles of rental posts on Craigslist and how they are related to rental prices. Titles from 198,279 rental posts on Craigslist between 2000 and 2018. The 15 most frequent adjectives are shown. Adjectives associated with prices below grand median: nice, clean, special. Adjectives associated with prices above grand median: beautiful, single, gorgeous, furnished.
September 7, 2023 at 6:53 PM
Reposted by Jonas Oesch
johnguerra.bsky.social
Do you want to animate a @vega-vis.bsky.social vega-lite or @observablehq.com Plot chart? Here is a quick experiment that might help you that animates between two SVGs.
Let me know what you think! #dataviz.
👉🏼 observablehq.com/@john-guerra...
February 26, 2025 at 6:45 PM
jonasoesch.ch
Swiss supermarket chain Migros promised price cuts—and delivered on many. But at the same time, products like chocolate and coffee became more expensive, reflecting global market trends. For most shoppers, the result is only modest savings. www.nzz.ch/ld.1869677
Beeswarm plot showing the change of product prices. A normal distribution with the center around zero.
February 24, 2025 at 12:40 PM
Reposted by Jonas Oesch
higsch.com
What are people searching on Google when it comes to German election candidates?

We visualized it! 📊

➡️ first 10 free: www.spiegel.de/netzwelt/web...
February 13, 2025 at 6:23 PM
Reposted by Jonas Oesch
scientificdiscovery.dev
Hello dataviz and design people!

We're looking for a freelancer to help us with data visualization and/or diagrams at Works in Progress.

We cover topics like housing, technology, health, energy, and much more, and experience in these areas is a plus!

If this is you, get in touch! (details below)
February 10, 2025 at 9:14 AM
Reposted by Jonas Oesch
mhernandez.bsky.social
Some new stuff in Fun-tography mhinfographics.github.io/maps 🗺️✈️ a place for #map nerdies
January 20, 2025 at 12:46 AM
jonasoesch.ch
Marius Irgens on distortions in vis: "A more common way to distort in […] visualization is through non-linear color mapping." True. Designing a truthful color mapping is incredibly difficult – if not impossible. But as he notes, you need to be transparent about it. nightingaledvs.com/distortion-b...
Distortion by Design - Nightingale
Explore the role of distortion in data visualization, its ethical implications, and use in enhancing comprehension or misleading audiences.
nightingaledvs.com
January 15, 2025 at 12:27 PM
Reposted by Jonas Oesch
erwanrivault.com
NEW: 2024 has just been confirmed as the warmest year on record, and the first to breach the 1.5C threshold.

We used a ridgeline (Joy Division inspired) chart to visualise daily temperature anomalies since 1940.

2024 clearly stands out with 100% of its days above 1.3C and 75% above 1.5C.
Ridgeline chart showing the distribution of global daily air temperature differences from the pre-industrial reference period (1850-1900), for every year between 1940 and 2024. Each individual year resembles a hill, shaded in a darker shade of red and further to the right for warmer years. The trend is clearly towards warmer years, with 2024 standing out as first year above 1.5C.
January 10, 2025 at 8:04 AM
Reposted by Jonas Oesch
infobeautiful.bsky.social
Highlighting some exponential progress in the race to #netzero
(by @billmckibben)
Three line graphs showing how incumbents underestimated exponential growth in renewable energy trends. Left graph shows new solar additions (GW) from 2015-2030, with actual data showing steep exponential growth (yellow line) versus more conservative linear forecasts. Center graph shows EV share of sales (%) from 2015-2030, with actual data showing exponential growth (blue line) versus linear forecasts. Right graph shows battery sales (GWh) from 2015-2030, with actual data showing exponential growth (red line) versus linear forecasts. All three graphs demonstrate that actual growth has followed an S-curve trend while forecasts consistently predicted slower, linear growth.
January 9, 2025 at 3:55 PM