Martin Fleischmann

@nickbearman@fosstodon.org that’s a fascinating thread. Thanks for linking to it!

Lorena Abad Crespo Award for Innovation in Spatial Data Science.

A year ago, we lost a friend. Today, we'd like to celebrate her life and what she stood for. This award honours Lorena’s life, spirit, and contributions by recognising people who push open spatial data science forward.

Be part of the celebration and remember Lorena with us. Nominations are open until 31 May 2026. Self-nominations and nominations of others are welcome.

Details and nomination form: https://spatial-data-science.github.io/award.html

@openstreetmap I did let them know via the app, under an assumption that it is an honest mistake.

I just noticed that Czech Railways are using @openstreetmap@en.osm.town to show live locations in their on train system. Yet, somehow, the attribution got lost in the process…

@moritz_negwer I think the general concept is pretty generic so it might work. It is also the reason why the underlying regionalisation algorithm SA3 was contributed to spopt package, to facilitate other use cases like yours. How would it work in practice I have no idea though :D

One aspect I am really proud of is hidden in the Data availability statement - “The SA3 functionality has been contributed to the open source package spopt, morphometric assessment to momepy, and features required to support those to libpysal, shapely and geopandas.” We have not only published our research code openly but made sure the relevant pieces have been contributed upstream. So big thanks not only to co-authors but to a wider community! 4/4

Though papers are boring, so we have something fun for you - a map. If you head to https://urbantaxonomy.org there's a beautiful interactive map of the resulting taxonomy waiting for you. Just a piece of warning - it can suck a lot of time! 3/n

At the same time, the “data-driven" nature of quantitative methods tends to be disjoint from morphological theory. We took concepts known from 80s and re-conceptualised them for urban morphometrics. This leads to identification of "morphotopes" (as biotopes), the smallest morphologically homogeneous regions. And because there's a lot of them, we have organised them into a taxonomy. 2/n

We have a new paper out! Named "The hierarchical morphotope classification: A theory-driven framework for large-scale analysis of built form”, it provides an overview of the method we used to build our Urban Taxonomy dataset.

https://authors.elsevier.com/sd/article/S0264-2751(26)00279-9

Morphology often hits scalability limits. This method is able to break those as shown by classifying over 90 million buildings (in the paper, we have 150 million + now).

1/n

Our online course on Spatial Data Science in Python has opened registrations once again. This time, we're teaching during May 2026.

10 lessons during May, covering everything from introduction to spatial data to #geoAI using Python open-source stack, part of which I've been actively developing for quite a while. Spatial graphs, autocorrelation, interpolation, point patterns, regression and spatial ML, all covered!

See the details at https://martinfleischmann.net/sds/micro/

@underdarkGIS out of curiosity, how do you distinguish between geospatial and spatial data science ? 🧐

🚨 Last 30 days to apply for one of the two fully funded #PhD positions in urban morphology & open spatial data science with me in a newly established research team at
Charles Uni in Prague.

📅 Deadline: March 13, 2024
⏳ Duration: 4 Years
🗓️ Start: October 2024

1️⃣Bridging urban morphology and community ecology to study structure, organisation and evolution of cities.
2️⃣Inequality of neighbourhood choice in regions of Central Europe

Details: https://uscuni.github.io/join/.

Come work with me!

🚀 Two fully funded #PhD positions up for grabs! Dive into the world of urban morphology & open spatial data science with me in a newly established research team in Prague.

📅 Deadline: March 13
⏳ Duration: 4 Years
🗓️ Start: October 2024

1️⃣ Bridging urban morphology and community ecology to study structure, organisation and evolution of cities.
2️⃣ Inequality of neighbourhood choice in regions of Central Europe

Details: https://uscuni.github.io/join/.
Interested? Please get in touch with me (DM or email)!