Robert Simmon
@rsimmon.bsky.social
5.4K followers 1.1K following 1.7K posts
Data Visualization. Ex-Planet & NASA Earth Observatory. Blue Marble, Earth at Night, color, cartography, occasionally skewed views of Earth. Looking for a job.
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rsimmon.bsky.social
Right — I suspect some (most?) of my audience will be starting from scratch.
rsimmon.bsky.social
Correction, RVT Python requires an older version of numpy. A current version of numpy works with the latest Python.
rsimmon.bsky.social
*Sigh*. My intended python demo for NACIS is gonna get tripped up by a version of Python released last Tuesday (3.14), which is not currently compatible with numpy. (I would prefer not having to spend time explaining how to downgrade a fresh Python install.)

😢
rsimmon.bsky.social
The Snowbirds don’t have the *oomph* of the Blue Angels (significantly quieter), but they still approach landing wingtip-to-wingtip, which is plenty badass.
Reposted by Robert Simmon
do.minik.us
Since I keep rediscovering it:

David Rumsey's Historical Map Collection is an absolutely fantastic resource, also for historical #datavis

www.davidrumsey.com
rsimmon.bsky.social
Any chance you could point to an example?
rsimmon.bsky.social
The new CLI is probably going to be its own blog post, since I already have 9 (!!) posts written pre 3.11. Plus I will need to familiarize myself with the new syntax first.
rsimmon.bsky.social
Did you know St Helen’s’ crater was aligned on the left edge of the ALI image to get a good collect from Hyperion (a hyperspectral instrument)?
rsimmon.bsky.social
I’m not sure if this is a good use of the rainbow palette, where red is useful to highlight a specific material (coarse-grained sand) or if it’s just misleading false contrast. From @science.org

www.science.org/content/arti...

#dataviz 🌈🎨
“Upside-down” turbidites, with sand (red) deposited on top of finer sediments, were interpreted as records of two earthquakes happening in quick succession.
Reposted by Robert Simmon
katharinehayhoe.com
Two of the most common climate misconceptions I see, even among knowledgeable folks, are that (1) most people aren't worried about climate change, and (2) if they were, they'd act.

Not true! Data show (1) most people are worried, but (2) they won’t act if they don’t know what to do-and most don’t.
A map of the world showing how levels of worry in most countries are greater than 70%. Source: Yale Program on Climate Change Communication, International Public Opinion on Climate Change, 2023.
rsimmon.bsky.social
This is specifically to demonstrate how to use programming to do things that are difficult or impossible with individual commands. So: batch processing and multi-step workflows.
rsimmon.bsky.social
The brown stuff looks like logs or other floating debris to me, not sediment.
Reposted by Robert Simmon
science.esa.int
First images of comet #3I/ATLAS from Europe's Mars orbiters 😍

Observing the comet from 30 million km away, #ExoMars reveals the halo of gas and dust surrounding the comet's nucleus.

Read more 👉 www.esa.int/Science_Expl...
🔭🧪
Reposted by Robert Simmon
rsimmon.bsky.social
I’m in the process of wiring a blog post (and @nacis.bsky.social talk) on using Python to drive GDAL. Has anyone tried this and been confused? If so, what tripped you up? Or if you’re an expert and have opinions, would you be willing to provide feedback? 🙏

#cartography #python #gdal
Reposted by Robert Simmon
esa.int
🌎 🛰️ Check out the first data from the METimage instrument on board EUMETSAT's MetOp-SG-A1 satellite!

This advanced instrument observes clouds, land, sea and ice, providing key insights into weather forecasting, nowcasting, and climate monitoring. eumetsat.int/metimage-del...

📸 @eumetsat.int
Captured between 10:43 and 10:59 CEST on 24 September, METimage’s very first image shows clouds connected with a cold weather front sweeping across central Europe and signs of convective storm activity developing over the Adriatic and central Mediterranean seas. High altitude, wispy cirrus clouds hint to potential turbulence over the Netherlands, Belgium and Luxembourg, while thin aircraft contrails are clearly visible over cloud-free western Denmark.

Where skies are clear, the Earth’s surface is revealed in fine detail: shimmering lakes can be seen in Türkiye, including the bright white salt flats of Lake Tuz, as well as the green landscapes of the Carpathians and Balkans, and Libya’s Waw an Namus volcanic caldera. Compared with AVHRR’s ~1 km resolution, METimage’s 500-metre view delivers about four times more detail, making it possible to pick out narrow cloud streets, thin valley fog and subtle coastal colour changes with far greater clarity.
rsimmon.bsky.social
Interesting. A long-term project for me is to make a color table generator based on OKLCH.
rsimmon.bsky.social
Windows Subsystem for Linux + Conda doesn’t work for you? (Or you can’t use it?)
rsimmon.bsky.social
Yup! I suspect there are a lot of people out there who are intimidated by code (like me!) who could use an on-ramp that starts as simple as possible.
rsimmon.bsky.social
I plan on splitting GDAL + Python into a few parts, aimed at beginners. The first is limited to using subprocess to drive GDAL without bringing any data into Python. I juts want to make sure I’m giving good advice.
rsimmon.bsky.social
I’m in the process of wiring a blog post (and @nacis.bsky.social talk) on using Python to drive GDAL. Has anyone tried this and been confused? If so, what tripped you up? Or if you’re an expert and have opinions, would you be willing to provide feedback? 🙏

#cartography #python #gdal