In contrast to the other side of the #Arctic, sea ice along the Atlantic front is a record low for this time of year. This relates to the recent record warmth and southerly winds/waves pushing the marginal ice zone closer to the North Pole.

Data from @nsidc.bsky.social (nsidc.org/data/seaice_...).

niche #rstats tweet: does anyone have a nice snippet of code they would share to download, import, and reshape GLORYS12 ocean data?

Tell us more, looks like opendap and netcdf, is there Zarr?

I've been (Zarr) virtualizing the Bluelink reanalysis from NCI thredds, and have a good handle on the options available to R 🙏

On the blog: how to map hundreds of thousands of US Census blocks performantly with R and PMTiles.

This is the first in a three-post series on production mapping workflows for big spatial datasets with PMTiles.

Read the post: walker-data.com/post...

In honor of spooky month, share a 4 word horror story that only someone in your profession would understand

"We've rounded the coordinates"

Opened it in Excel

Ever since I made a video about Fourier Transforms, one of the most requested topics on the channel has been its close cousin, the Laplace Transform.

I've been having a lot of fun animating a mini-series about this topic, and the main part is now out.

youtu.be/j0wJBEZdwLs

squint at the webcam you might see

data.aad.gov.au/nuyina/current

my partner finished his journey of visiting every blue bike station today (please clap)

unfortunately the app does NOT throw confetti when you hit 100%

GDAL

You get the full API (vector, raster, mdim, osr, directly all the VSI facilities, ...) and call points for the cli lib, not just a watered down wrapper based on an outdated interpretation

This in turn was due to @yutannihilation-en.bsky.social's fantastic work on Savvy (lightweight R bindings for Rust)!

Thanks to @paleolimbot.bsky.social's great work, the sedonadb R package is now also available to Windows via R-universe 🎉 I'm excited particularly because I believe sedonadb is the easiest tool for R users to access GeoParquet data. #rstats

apache.r-universe.dev/sedonadb

HIGHLY recommended, I have some reading to do

Ross Ihaka: The Open-Hearted Data Hero
#rstats
www.historyofdatascience.com/ross-ihaka-t...

how's your day going

#rstats

paste0(sample(c(letters, LETTERS, 0:9,
strsplit("!@#$%^&*()_+=-~", "")[[1]]), 56),
collapse = "")

my recent focus has been on a lot of point time series data -- I _think_ someone told me zarr handles this use case well enough, but honestly I've only seriously played with parquet so far

Oh huh. Like trajectories? I'd keep in mind what you're doing up/down as well and how that fits into the workflow. So what packages are loading the parquets etc because that ends up being a huge part of the decisionmaking for me

Oh great point ! is actually exactly where tabular spatial breaks down, trajectory data is an excellent crossover that doesn't quite fit either world, it's mostly tabular but ordered within groups (and is it points, segments, line strings or all the above, yes).

Argo long sits in this uneasy place

This is not parquet, but pretty essential to see where xarray and Zarr are going (raster yes, but not just raster)

youtu.be/I-NHCuLhRjY?...

It won't be long until Icechunk is used to virtualize Parquet stores, referencing compressed chunks by byte ranges, and stored in their mysterious Rust Zarrtabase

Neither is quite the superset, but both can use the other and this is not a hierarchy rather a thicket of experiments

Also, you already know will the difference imo because it's manifest in R, arrays (missing "labels) vs data frames

But, it's those crossover areas where they bleed into one another (nested parquet like json arrays, compressed partition chunks like in arrow) is where the blur is.

And this one:

earthmover.io/blog/what-is...

(The Earthmover stance that "labelled arrays are inefficient as fully materialized tables" is a bit disingenuous ... obvious actually, I wonder if they will review better now xarray has coordinate indexes)

Have you seen: earthmover.io/blog/fundame...