Making effective and accessible figures
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The document discusses the importance of creating effective and accessible scientific figures, emphasizing the use of storytelling in data visualization. It outlines various techniques and resources for enhancing figure quality, such as proper color palettes and clear labeling. The author, Zachary Labe, references his work in climate science and highlights relevant studies and tools to improve communication through visual data representation.
![I have a 2D-array of sea ice thickness
anomaly data [year,day]…
Each line is one day
Number of Years
Thickness
Anomaly
(m)](https://image.slidesharecdn.com/zlabeeffectivefiguresreu-presentation07-12-2022-220624173545-8941276d/85/Making-effective-and-accessible-figures-38-320.jpg)
Making effective and accessible figures
- 1. MAKING EFFECTIVE & ACCESSIBLE FIGURES Zachary Labe| 12 July 2022| REU Professional Development| Colorado State University
- 2. Zack Labe Pioneer Coal Mine Blue Whale of Catoosa Centralia Underground Fire Roadside America Greenland Sea (81°N) Enjoy: roadside oddities, diners, and horror movies Hobbies: gardening, #scicomm ( @ZLabe), hiking, traveling to lighthouses Graduate work: Arctic – midlatitude climate variability (sea-ice changes) Recent work: using ANNs to detect patterns of climate variability/change Now at GFDL I am thinking about: detection and attribution of extreme events Relevance LENS X-Single Forcing Runs Hometown – Linglestown, Pennsylvania BSc – Atmospheric Science at Cornell University PhD – Earth System Science at UC Irvine Postdoc – climate variability using AI at Colorado State U. Postdoc – climate attribution with T. Delworth & N. Johnson he/him
- 4. Polar Amplification: acceleration of warming in high latitudes relative to the rest of the globe
- 9. DON’T BE SUCH A SCIENTIST WE ARE DATA SCIENTISTS ART BY JILL PELTO
- 10. Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Jill Pelto|http://www.jillpelto.com/landscape-of-change “ ”
- 19. :)
- 23. MAP PLOTS
- 24. YIKES!
- 25. YIKES – FONT IS BLEH!
- 26. YIKES – COLOR!
- 27. MAP PROJECTION!
- 28. :)
- 29. HAVE FUN!
- 37. LEVERAGING ALL DIMENSIONS OF YOUR DATA.
- 38. I have a 2D-array of sea ice thickness anomaly data [year,day]… Each line is one day Number of Years Thickness Anomaly (m)
- 43. Senator Sheldon Whitehouse (D-CT) - Time to Wake Up: Climate Progress Speech (3/21/2018)
- 46. Labe, Z.M. and E.A. Barnes (2022), Predicting slowdowns in decadal climate warming trends with explainable neural networks. Geophysical Research Letters, DOI:10.1029/2022GL098173 TELLING A STORY.
- 47. Labe, Z.M. and E.A. Barnes (2022), Predicting slowdowns in decadal climate warming trends with explainable neural networks. Geophysical Research Letters, DOI:10.1029/2022GL098173 TELLING A STORY.
- 48. Select one ensemble member and calculate the annual mean global mean surface temperature (GMST) 2-m TEMPERATURE ANOMALY LABE AND BARNES, 2022, GRL
- 49. Calculate 10-year moving (linear) trends 2-m TEMPERATURE ANOMALY LABE AND BARNES, 2022, GRL
- 50. Plot the slope of the linear trends START OF 10-YEAR TEMPERATURE TREND 2-m TEMPERATURE ANOMALY LABE AND BARNES, 2022, GRL
- 51. Calculate a threshold for defining a slowdown in decadal warming LABE AND BARNES, 2022, GRL
- 52. Repeat this exercise for each ensemble member in CESM2-LE LABE AND BARNES, 2022, GRL
- 53. Compare warming slowdowns with reanalysis (ERA5) LABE AND BARNES, 2022, GRL
- 55. cmap = ‘jet’
- 56. STOELZLE AND STEIN, 2021, HESS
- 57. 1998!
- 58. Citations on Google Scholar…
- 60. 2004!
- 67. Adapted from Ed Hawkins at betterfigures.org
- 68. Crameri, F. (2018). Scientific colour maps. Zenodo. http://doi.org/10.5281/zenodo.1243862 Crameri, F. (2018), Geodynamic diagnostics, scientific visualisation and StagLab 3.0, Geosci. Model Dev., 11, 2541- 2562, doi:1 0.5194/gmd-11-2541-2018 Crameri, F., G.E. Shephard, and P.J. Heron (2020), The misuse of colour in science communication, Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7 Palettable: Color palettes for Python
- 69. Crameri, F. (2018). Scientific colour maps. Zenodo. http://doi.org/10.5281/zenodo.1243862 Crameri, F. (2018), Geodynamic diagnostics, scientific visualisation and StagLab 3.0, Geosci. Model Dev., 11, 2541- 2562, doi:1 0.5194/gmd-11-2541-2018 Crameri, F., G.E. Shephard, and P.J. Heron (2020), The misuse of colour in science communication, Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7
- 70. CMOCEAN THYNG ET AL. 2016; OCEANOGRAPHY
- 71. CMASHER “Scientific colormaps for making accessible, informative and cmashing plots”
- 75. 1. Seaborn. 2. Plotly. 3. ggplot. 4. Matplotlib v3. RESOURCES
- 76. 1. https://betterfigures.org/ 2. https://www.climate-lab-book.ac.uk/ 3. http://colorbrewer2.org/ RESOURCES
- 83. ACCESSIBILITY No jargon Tell a story Alternative text Color contrast ratio Label data directly Avoid flashing GIFs Include figure titles Avoid data overlays Provide data references
- 84. CHECK: Simple. Bold. Stories. @ZLabe Questions! ZACHARY LABE | 12 JULY 2022| REU PROFESSIONAL DEVELOPMENT | COLORADO STATE UNIVERSITY