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#visualizations

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nextGEMS

🏁 Final Day at The Final Countdown!
The last #nextGEMS #hackathon is wrapping up, and our participants are excited to present the results of their hard work over the past few days. 🚀

A highlight of the day? Some truly stunning #visualizations from the hackathon’s plotting challenge! Congrats to Matthias Aengenheyster for his winning #ICON data visualization. 🎉

What a journey it has been! Thanks to everyone who made this event successful 👏

Winning visualization of the plotting challenge by Matthias Aengenheyster
Presentation of the energy industry stakeholders participatng in the hackathon
Rumeng Li presenting her results on dust storms (Haboobs)
#ClimateScience#H2020#CINEA_EU
Public
ax6761

Rainbow color map distorts and misleads research in hydrology – guidance for better #visualizations and #scienceCommunication, 2021,
by Michael S, Lina S,
hess.copernicus.org/articles/2
doi.org/10.5194/hess-25-4549-2

hess.copernicus.orgRainbow color map distorts and misleads research in hydrology – guidance for better visualizations and science communicationAbstract. Nowadays color in scientific visualizations is standard and extensively used to group, highlight or delineate different parts of data in visualizations. The rainbow color map (also known as jet color map) is famous for its appealing use of the full visual spectrum with impressive changes in chroma and luminance. Besides attracting attention, science has for decades criticized the rainbow color map for its non-linear and erratic change of hue and luminance along the data variation. The missed uniformity causes a misrepresentation of data values and flaws in science communication. The rainbow color map is scientifically incorrect and hardly decodable for a considerable number of people due to color vision deficiency (CVD) or other vision impairments. Here we aim to raise awareness of how widely used the rainbow color map still is in hydrology. To this end, we perform a paper survey scanning for color issues in around 1000 scientific publications in three different journals including papers published between 2005 and 2020. In this survey, depending on the journal, 16 %–24 % of the publications have a rainbow color map and around the same ratio of papers (18 %–29 %) uses red–green elements often in a way that color is the only possibility to decode the visualized groups of data. Given these shares, there is a 99.6 % chance to pick at least one visual problematic publication in 10 randomly chosen papers from our survey. To overcome the use of the rainbow color maps in science, we propose some tools and techniques focusing on improvement of typical visualization types in hydrological science. We give guidance on how to avoid, improve and trust color in a proper and scientific way. Finally, we outline an approach how the rainbow color map flaws should be communicated across different status groups in science.
#design#charts#graphs
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beSpacific

A website showing incredible #visualizations of #noise in #NewYork, using #OpenStreetMap and #ESRI data alongside Open Data from #NewYorkCity. A website showing incredible visualizations of noise in New York, using Open Street Map and ESRI data alongside Open Data from New York City. #pollution #environment #ecology #wildlife #birds #transportation #cars #NoisePollution livemaps360.com/DigitalTwin/NY #nature #biodiversity

livemaps360.comNew York NoiseMap
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Rob Whiting 📓

I've really been enjoying Richard Brath's summer reading series on ‘Predictive #Visualizations that Changed the World’.

The latest installment on;

𝟺. 🚂 Predictive Steam - richardbrath.wordpress.com/202

Joins earlier fascinating looks at;

𝟷. 🔥 Predictive Coal - richardbrath.wordpress.com/202

𝟸. 💧 Predictive Water - richardbrath.wordpress.com/202

and

𝟹. ⚡️ Predictive Electricity - richardbrath.wordpress.com/202

A great in-depth look at #DataViz that has changed the world. 🙂

richardbrath · Predictive Visualizations that Changed the WorldAn early data visualization helped James Watt make steam engines efficient. William Playfair learned from these for his economic visualizations.
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Carly Richmond

The StackOverflow 2024 developer survey results are interesting. #javascript being the most popular programming language didn't surprise me given prior years. I did enjoy seeing the different #visualizations 📊, including the web technologies chord diagram:

lnkd.in/eFV-mZ5z

The relationships show which technology developers using a given technology want to work with next year, giving an interesting look at the current and potential future state.

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