gdkrmr's profile picture. Data science, Earth science, climate change, R, Julia.

Guido Kraemer

@gdkrmr

Data science, Earth science, climate change, R, Julia.

Guido Kraemer 님이 재게시함

Thanks for your thoughts! @gdkrmr and I answer: 1⃣ Risks are high enough, no need to overstretch. 2⃣ You also have a bar plot, just changed the coordinate system, ➡️ visually more complicated but remains a comparison. 3⃣IPCC schemes are not that nonlinear, thus readable... 🧵


Guido Kraemer 님이 재게시함

🔄 We suggests revising the PB concept's visual language. Maybe using a simpler graphical language helps? Discrete color scales can lead to clearer communication. Simple is better.

MiguelDMahecha's tweet image. 🔄 We suggests revising the PB concept's visual language. Maybe using a simpler graphical language helps? Discrete color scales can lead to clearer communication. Simple is better.

Guido Kraemer 님이 재게시함

🔍 Third, the combination of quadratic scaling and specific color coding in PB visuals might unintentionally exaggerate high-risk areas. Yet, given the quantitative nature of the last paper, they need to accurately reflect the underlying data...


Guido Kraemer 님이 재게시함

🎨 Second, the color gradations indicating risk levels in PB visuals are complex and non-linear. This makes interpreting the severity of boundary transgressions challenging and limiting #ScienceCommunication

MiguelDMahecha's tweet image. 🎨 Second, the color gradations indicating risk levels in PB visuals are complex and non-linear. This makes interpreting the severity of boundary transgressions challenging and limiting #ScienceCommunication

Guido Kraemer 님이 재게시함

📊 However, @gdkrmr and I think that the figure itself needs to be improved. First, the radial bar plot used in PB visuals leads to a quadratic scaling of effect sizes, potentially distorting our perception of environmental risks. #DataVisualization

MiguelDMahecha's tweet image. 📊 However, @gdkrmr and I think that the figure itself needs to be improved. First, the radial bar plot used in PB visuals leads to a quadratic scaling of effect sizes, potentially distorting our perception of environmental risks. #DataVisualization

Guido Kraemer 님이 재게시함

🔍 Anomalies: for each parameter, you can now visualize their anomalies! Simply select the respective option in the parameter drop down.


Guido Kraemer 님이 재게시함

What’s new? ✂️ Paper Cubes: make your own paper cube from any selection and data set! Simply click the printer button, print out the template and cut & glue your own paper cube! High-quality paper recommended 📸


Guido Kraemer 님이 재게시함

Major update from #Lexcube! 🌎🔍You can now explore anomalies, ✂️make your own paper cube, and 🎁check out the new sun-induced fluorescence and specific humidity data sets at➡️lexcube.org! @CopernicusECMWF @ECMWF @CopernicusEU ⤵️🧵


Guido Kraemer 님이 재게시함

Questions? Feel free to DM Hannes Feilhauer, me or @gdkrmr

이 트윗은 더 이상 사용할 수 없습니다.

Guido Kraemer 님이 재게시함

I am excited to announce the next major release for #Lexcube, our interactive #EarthSystemDataCube 🌎 viewer. Now featuring 🎬animations, 🅰️3D axis labels, and a new #CopernicusAtmosphere data set ready to explore at lexcube.org 🧵(1/4) @CopernicusECMWF @ECMWF @ESA_EO


rstats.wtf will be a mandatory read for all my future students! #RStats


Guido Kraemer 님이 재게시함

Since today you can explore data cubes interactively! Congrats to @m_soechting for launching lexcube.org - an interactive #EarthSystemDataCube 🌎 viewer developed @RSC4Earth in close cooperation with #ImageAndSignalProcessingGroup @UniLeipzig. Why do we need this? 🧵

MiguelDMahecha's tweet image. Since today you can explore data cubes interactively! Congrats to @m_soechting for launching lexcube.org - an interactive #EarthSystemDataCube 🌎 viewer developed @RSC4Earth in close cooperation with #ImageAndSignalProcessingGroup @UniLeipzig. Why do we need this? 🧵

Watch a t-SNE of the MNIST data converge youtube.com/watch?v=TZzicX… Animations created in R with the Rtsne package #RStats #tSNE

gdkrmr's tweet card. Converging MNIST

youtube.com

YouTube

Converging MNIST


Guido Kraemer 님이 재게시함

“Hello World” our kick-off meeting is in full swing!

DeepExtremes's tweet image. “Hello World” our kick-off meeting is in full swing!

Guido Kraemer 님이 재게시함

Hey, #GoogleEarthEngine enthusiasts! New #eemont tutorial! 🚀 033 - Exploring ALL #EarthEngine Apps from #Python! 🐍 (using ee-appshot! @samapriyaroy) 🖥️ Tutorial: eemont.readthedocs.io/en/latest/tuto… GitHub: github.com/davemlz/eemont #RemoteSensing #GeoPython #EOchat #GISchat #DataViz


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