Patrick Hausmann

Urban Development • Open Data • maps and visualization • data for decisions - @[email protected]

[BBSR @bbsr_bund]

Unser neuer Atlas thematisiert die Lebensbedingungen in Städten, Landkreisen und Regionen vor dem Hintergrund der #COVID19-Pandemie. Mehr erfahren:
➡️https://t.co/jSqGXiRkJu

[Patrick Hausmann @patrickhausmann]

@smartsurfer99 @dregelies @KielDolphin @stadt_kiel Auf Stadtteilebene liegen die Daten nur als PDF im Statistischen Jahrbuch vor. Aufbereitet liegen sie hier https://t.co/Wv1DXhyOvD

[Patrick Hausmann @patrickhausmann]

@nelling83 @dregelies @NiklasWieczorek Das Jahr 2021 ist nur bedingt aussagekräftig, da nur 97 Tage in die Auswertung gingen. In den Vorjahren waren es rund 250. #Kiel

[Patrick Hausmann @patrickhausmann]

@nelling83 @dregelies @NiklasWieczorek Also weniger ist es wohl nicht geworden.... Code https://t.co/9mf66N0yTS

[Pedro Holanda @holanda_pe]

One of my main motivators for contributing to DuckDB early on was the impact that open-source software can make on society.
I love learning how we facilitate or influence areas we couldn't foresee when thinking of "just building" a DBMS.

[Datawrapper @Datawrapper]

New blog post! What's an interpolation? Why is it important for your choropleth maps? And what are the different kinds of interpolations (linear, natural, quantiles, deciles, etc.) good for? Our writer @lisacmuth explains it all in simple terms: https://t.co/Su6q5qvMle

[Marco Sciaini @shinysci]

☑️ 1/3 done - turning the "Waldbrandgefahrenindex" (index of a forest being in danger of fire) by the @DWD_klima into an interactive app.

The following repository contains daily updates in spatial and tabular format:

https://t.co/QOz2grkp7n

#rstats #rspatial #climate

[MinIO @Minio]

MinIO and @ApacheArrow Using the R programming language: https://t.co/agBHiup60y

[Dewey Dunnington @paleolimbot]

I'm excited to write in detail about this in the coming weeks, but the teaser version is that #rstats geoarrow 🌏⏩ will (1) make the arrow 📦 "just work" with spatial data and (2) make working with big files faster/multi-file datasets possible!

[Adam Marcus @marcua]

For the past few months, I’ve been implementing a data differ (a tool that takes two SQL queries and explains what makes their results different), and I finally wrote a blog post about it here: https://t.co/5vAyArQrq8

[Katharina Brunner @[email protected] @cutterkom]

An excellent introduction to @ApacheArrow in R: https://t.co/lrEHBsC76L

Written by one of my favorite technical article writers @djnavarro, who manages to keep even longer pieces entertaining

#rstats

[Alexandra Kapp @lxndrkp]

The change in the left image is obviously smaller than in the right. But how can this be measured?

In my first blog post, I explain how to quantify similarities between maps with the earth movers distance how this is implemented in #python and #rstats

https://t.co/JF02tz0Dac

[Patrick Hausmann @patrickhausmann]

@linkesocke Dank günstiger Wetterbedingungen und des Austausch der Filter in der zweiten Monatshälfte.

[Patrick Hausmann @patrickhausmann]

@PaoloCrosetto Yes, it's really amazing!

[Patrick Hausmann @patrickhausmann]

@kaffeeringe Und hier einmal auf Ebene der Stadtteile

[Patrick Hausmann @patrickhausmann]

@tladeras Happy birthday, Ted!

[Mara Averick @dataandme]

🤩 Another fabulous post from @EmilyRiederer:
“A lightweight data validation ecosystem with R, GitHub, and Slack” https://t.co/Fu3I2fkHM0 #rstats

[Volodymyr Agafonkin 🇺🇦 @mourner]

🌐 How many decimal digits do you need for longitude and latitude? Not as many as you think. Visualized on this @observablehq notebook: https://t.co/6AwWMGck5G