Urban Development • Open Data • maps and visualization • data for decisions - @patrickhausmann@mastodon.social
Berlin
Joined September 2009
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Patrick Hausmann retweeted
Unser neuer Atlas thematisiert die Lebensbedingungen in Städten, Landkreisen und Regionen vor dem Hintergrund der #COVID19-Pandemie. Mehr erfahren:
➡️bbsr.bund.de/BBSR/DE/startse…
Patrick Hausmann retweeted
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.
Patrick Hausmann retweeted
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: blog.datawrapper.de/interpol…
Patrick Hausmann retweeted
☑️ 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:
github.com/marcosci/dwd_wbi_…
#rstats #rspatial #climate
Patrick Hausmann retweeted
MinIO and @ApacheArrow Using the R programming language: hubs.li/Q01by-7T0
Patrick Hausmann retweeted
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!
Patrick Hausmann retweeted
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: blog.marcua.net/2022/02/20/d…
ALT A code snippet that shows how to use the datools.diff algorithm
Patrick Hausmann retweeted
An excellent introduction to @ApacheArrow in R: blog.djnavarro.net/posts/202…
Written by one of my favorite technical article writers @djnavarro, who manages to keep even longer pieces entertaining
#rstats
Patrick Hausmann retweeted
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
alexandrakapp.blog/2021/12/0…
Patrick Hausmann retweeted
🤩 Another fabulous post from @EmilyRiederer:
“A lightweight data validation ecosystem with R, GitHub, and Slack” emilyriederer.netlify.app/po… #rstats
Patrick Hausmann retweeted
🌐 How many decimal digits do you need for longitude and latitude? Not as many as you think. Visualized on this @observablehq notebook: observablehq.com/@mourner/la…
Patrick Hausmann retweeted
For anyone interested in up-to-date guide on getting data into R from @openstreetmap and other sources, building on resources in Geocomputation with R, check the slides here: nowosad.github.io/SIGR2021/w… #geocompr
Patrick Hausmann retweeted
Just noticed the new time-series data for #worldvaluessurvey, which is mercifully now in R serialized data frame form. Good opportunity to plug this #rstats post of mine about how to further economize size and speed of these data w/ some SQL/"tidy" magic. svmiller.com/blog/2020/11/sm…
Patrick Hausmann retweeted
In 1715 they cut off pieces of The Night Watch. These have never been found. That’s why we’ve had so-called artificial neural networks working overtime on reconstructing the original appearance of the painting. 🖥️
🚨 Visit our website to find out more: rijksmuseum.nl/en/stories/op…
Patrick Hausmann retweeted
GitHub built Flag Viewer, a tool that takes any public repo and returns a nice GUI for exploring its data files (JSON, CSV).
To use it, just prepend `flat` to the domain name of any GitHub repo’s URL. Example: flatgithub.com/mathiasbynens…
ALT A screenshot of the GitHub Flat Viewer UI visualizing the contents of a CSV file.
Patrick Hausmann retweeted
My first entry to the #shinycontest "Smoke Locate" uses #triangulation and rev. #geocoding to estimate the location of a bush fire and download a shareable report. Rapidly locating a fire is critical to the emergency response & limiting impacts. #RStats
community.rstudio.com/t/smok…
Patrick Hausmann retweeted
Still early, but the forthcoming version of the #rstats geos 📦 will have a wk reader/writer. Among other things, this could mean fast/low alloc roundtripping between sf and geos! Also, opportunity to read e.g. shapefiles direct to geos pointers without pivoting through wkb!
Patrick Hausmann retweeted
If you use #rstats to prep data for Mapbox tilesets the recommendation is to use line-delimited geojson (for faster processing, bit.ly/3n9hNFj). The sf package makes this easy:
Patrick Hausmann retweeted
Unter dem Titel „#Nahverkehr und #Verkehrswende nach Corona“ laden wir im Sommersemester 2021 zum zweiten Public Transport Lab (#PTL) an der Universität #Bremen in Form einer digitalen Ringvorlesung ein. Gemeinsam mit Expert*innen aus den verschiedensten Bereichen wollen wir (1)
