πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
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mackaszechno.bsky.social
πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
@mackaszechno.bsky.social
1.5K followers 640 following 3.6K posts
#rstats geospatial data analyst. GIS expert, of a sort. Sci-fi fan and would be writer. Black cat owner. Occasionally apocalyptical. Can't DM.
WORDS ARE QUICK AND WORDS ARE VAIN, THE SINGLE SURE AND FINAL ANSWER MUST BE PAIN. -Dan Simmons, Olympos
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mackaszechno.bsky.social
πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜ @mackaszechno.bsky.social Β· Feb 28
Π‘Π»Π°Π²Π° Π£ΠΊΡ€Π°Ρ—Π½Ρ–! πŸ‡ΊπŸ‡¦πŸ‡ͺπŸ‡Ί
Reposted by πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
nrennie.bsky.social
Yes, there's a few examples in the Quarto docs: quarto.org/docs/interac...

(You can deploy with shinylive if you want to, or however else you normally deploy shiny apps)
Shiny – Quarto
quarto.org
February 12, 2026 at 12:53 AM
Reposted by πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
sheldonbirds.bsky.social
I love maps... but how did I not know about this site?! Create your own Ordnance Survey map centred wherever you wish, with choice of resolution, mapping style, even personalised cover image...

shop.ordnancesurvey.co.uk/custom-made/....
Custom Made: Personalised folded and framed maps
Buy a personalised map with your own centre point, title and photo, using iconic Ordnance Survey mapping. From Β£7.99. Canvas & framed options. Free delivery
shop.ordnancesurvey.co.uk
February 11, 2026 at 9:57 PM
Reposted by πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
rsimmon.bsky.social
I made another set of maps for @climate.us with final polish by @annamaps.bsky.social

These show snow cover & snow cover difference for the past two months.

Data from the Rutgers Global Snow Lab: climate.rutgers.edu/snowcover/do...

#climate #cartography
Four maps with a perspective from above the North Pole. The top two show monthly snow cover in shades of blue for December 2025 & January 2026. Most of Arctic North America and Eurasia were covered in snow 100% of the time, with the amount of snow cover falling off at lower latitudes. The bottom two images show divergence from the 1981-2010 mean snow cover. Brown and beige shades are below normal, blues are above normal. In December snow cover America was well below normal on North America. By January it was above normal in the East, but below normal in the West. In Eurasia high latitudes had normal snow cover (i.e. persistent snow cover), while lower latitudes, including Milan & Cortina, Italy (site of the 2026 Winter Olympics) had below normal snow cover.
February 11, 2026 at 6:36 PM
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giocomai.mastodon.social.ap.brid.gy
Winter Olympics 2026 medalists by place of birth: an interactive map I built (again) thanks to @wikipedia, @wikidata and #rstats).

Check out the interactive version of the map: https://giocomai.github.io/olympics2026nuts/medalists_map.html
A screenshot of an interactive map of all medals won so far at the 2026 Winter Olympics by place of birth of the winners
February 11, 2026 at 7:23 AM
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usrbinr.bsky.social
{ti} is now available on CRAN!

I've posted about this package before and with this latest update we finally have support for non-standard calendars

I gave up on non-standard calendars because of its complexity but thanks to @posit.co positron I was able to complete it!

usrbinr.codeberg.page/ti/
ti
usrbinr.codeberg.page
February 11, 2026 at 12:53 AM
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obsidian.md
Obsidian CLI
help.obsidian.md/cli
Obsidian CLI - Obsidian Help
Anything you can do in Obsidian can be done from the command line.
help.obsidian.md
February 10, 2026 at 3:14 PM
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joshpersi.bsky.social
I'm new to the world of neural networks and am 8 years late to this video, but this video really helped me build intuition for what happens under the hood. Thanks @3blue1brown.com!

youtu.be/aircAruvnKk

#rstats #pydata #machinelearning #deeplearning
But what is a neural network? | Deep learning chapter 1
YouTube video by 3Blue1Brown
youtu.be
February 10, 2026 at 6:22 PM
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runwithskizzers.bsky.social
omg everybody go draw a horse this is what the internet was made for

gradient.horse
gradient.horse
Draw a horse, watch it run!
gradient.horse
February 9, 2026 at 11:11 PM
mackaszechno.bsky.social
'tis the cool place to be 😁
February 10, 2026 at 9:35 PM
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kylewalker.bsky.social
My most popular map ever, Educational Attainment in America, gets a fresh look for 2026:

- Updated to the 2024 ACS
- MapLibre via R's mapgl with built-in interactivity
- OpenFreeMap basemap, Cloudflare-hosted PMTiles (blazing fast!)

Explore your city: personal.tcu.edu/kylewalker/m...
February 10, 2026 at 2:52 PM
mackaszechno.bsky.social
Age verification?

I remember the VHS vs Betamax wars.
mindorese.bsky.social CT-9902 @mindorese.bsky.social Β· 1d
Age verification?

I remember when it was Showbiz Pizza
terrible.moe Chiaki Mitama 🐾🌭 @terrible.moe · 2d
Age verification?

I own a Pikachu pedometer because my grandma didn't know what I meant when I said I wanted Pokemon Yellow Version.
February 10, 2026 at 5:03 PM
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opus1993.bsky.social
personal.tcu.edu/kylewalker/m... Educational Attainment in America, via Kyle Walker

Updated with 2024 data
Educational Attainment in America
February 10, 2026 at 4:10 PM
Reposted by πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
tterence.bsky.social
The Nile basin.

#rayshader adventures, an #rstats tale
A visualisation of the rivers of the Nile basin
February 10, 2026 at 3:57 PM
mackaszechno.bsky.social
I guess the heart wants what the heart wants 🀣
February 10, 2026 at 11:09 AM
mackaszechno.bsky.social
Did you get the love you ordered?
February 10, 2026 at 9:38 AM
Reposted by πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
sebkrantz.bsky.social
I’m thrilled to introduce flownet (sebkrantz.github.io/flownet/), a new R package for transport modeling, supporting stochastic or deterministic traffic assignment to large networks, and powerful tools for (multimodal) network processing/simplification: sebkrantz.github.io/Rblog/2026/0... #Rstats
Transport Modeling in R
High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva...
sebkrantz.github.io
February 9, 2026 at 7:06 PM
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cghlewis.bsky.social
dplyr 1.2.0 was released last week and since I use {dplyr} a lot in my work, I wanted to take some time to try some of the new functions.

This post provides some supplemental examples of the new functions, beyond what is provided in the new Posit materials.
#rstats

cghlewis.com/blog/dplyr_u...
Trying out dplyr 1.2.0 | Crystal Lewis
Updating existing dplyr code in my workflow with new dplyr updates
cghlewis.com
February 9, 2026 at 7:32 PM
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mdsumner.bsky.social
Explore and read WFS with {readwfs}: hypertidy.github.io/readwfs/ #RStats
February 10, 2026 at 2:42 AM
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tterence.bsky.social
Power lines (OSM and derived) of Australia.

#rayshader adventures, an #rstats tale
A visualisation of Australia's power lines
February 9, 2026 at 9:26 PM
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andreamatranga.bsky.social
Example of how you could make a custom Oblique Mercator projection to do a paper on the silk road or transiberian while treating everything as effectively recticlinear.
February 9, 2026 at 3:07 PM
Reposted by πš–πšŠπšŒπš”πšŠβ€€πšœπš£πšŽπšŒπš‘πš—πš˜
bboucek.bsky.social
I think I can post this screen grab without further comment:
Bad Bunny proving one of the hottest things a man can do is know geography.
February 9, 2026 at 4:14 PM
mackaszechno.bsky.social
Were you running an errand, perhaps?
February 9, 2026 at 4:13 PM
mackaszechno.bsky.social
@mindorese.bsky.social, you are so far out in deep space! 🀣
me and a couple of people I interact with, seemingly from another galaxy
February 9, 2026 at 3:53 PM
mackaszechno.bsky.social
The intersection of #rstats, Geospatial Professionals, and #dataviz seems appropriate 😁
My place at https://bluesky-map.theo.io/
February 9, 2026 at 12:13 PM
mackaszechno.bsky.social
Okay, can't blend to morphed network.

But can use idea of subgraphs to remove unconnected graphs.
# 4. blend this school to buffered network ---- blend_points_to_sfnetwork <- function(source, targets, roads = roads_buff){ points <- bind_rows(source, targets) roads <- roads |> activate("edges") |> arrange(desc(edge_length())) # Filter to keep only the largest connected subgraph roads <- roads |> activate("nodes") |> mutate(component = group_components()) |> filter(component == 1) # blend on largest connect subgraph road <- st_network_blend(roads, points, tolerance = Inf) |> activate(nodes)|> mutate(id = 1:n()) }
February 9, 2026 at 10:11 AM