fun map poster of rail transit and population density by Aniket Kali and myself - just showed this at the Canadian Cartographic Association 2025 conference this week
check out more maps here:) https://schoolofcities.github.io/rail-transit-and-population-density/
@tyldurd Nice! pandas translates so nicely to #geopandas as well if #GIS tasks need to be done. All the libraries make Python more fun for me. :)
Thank you to #Kone & Mai and Tor Nessling Foundations for supporting this work. A quantitative work like this would not be possible without a robust suite of FOSS tools. My thanks to the maintainers of #QGIS, #pandas, #geopandas, #duckdb, #dask, #statsmodels, #jupyter and many more!
Seeking recommendations for a #WebMapping tutorial / course?
Slightly at sea on where to start.
- My current JS skill level is _extreme novice_.
- I don't have access to ArcGIS.
- Comfortable with #QGIS [*] and the #python #geospatial ecosystem (#geopandas #xarray #rasterio and plotting with #matplotlib)
Suggestions welcome. TIA. 
* I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.
Geocomputation with Python copies have arrived 
Somehow, things feel much more real if you can touch them.
Fun fact: the cover was designed in #QGIS. Speaking of going full circle ...
The development was supported by NumFOCUS (small development grant for the #GeoPandas project). A lot of the credit goes to @jorisvandenbossche and @paleolimbot (through S2Geography). Also many thanks to the new contributors!
https://github.com/benbovy/spherely
Joris is going to give a talk about it next week at the GeoPython conference in Basel. If you go there, don’t miss it!
Geospatial Python 
- Full Course for Beginners with GeoPandas 
--
https://youtu.be/0mWgVVH_dos?si=KHenBnxdeStppvnH <-- shared video tutorial
--
https://moderngis.xyz/courses/geopandas-free-certification/ <-- shared course files
--
[sharing of this course should not – necessarily - be considered as an endorsement]
#GIS #spatial #mapping #tutorial #onlinelearning #free #training #python #geopandas #pandas #beginners #video #videotutorial #workflows #automation #spatialanalysis #spatialdata #DuckDB #leafmap #lonboard #certification
day 24: #only_circular_shapes
Encircled Iceland Incircles.
The biggest circle that fits inside of Iceland (an "incircle") (in UTM), and the next biggest that doesn't overlap the first, and the next biggest and so on...
https://en.wikipedia.org/wiki/Incircle_and_excircles
method implemented similar to that of Garcia-Castellanos & Lombardo 2008 https://doi.org/10.1080/14702540801897809
colors are that of the Icelandic flag
coastline from Natural Earth. plotting with #matplotlib #shapely #cartopy #geopandas
#GeoParquet in #QGIS – smaller & faster files for the win!
tldr; Tired of working with large CSV files? Give GeoParquet a try!
http://anitagraser.com/2024/11/23/geoparquet-in-qgis-smaller-faster-files-for-the-win/
Mapped a local park, in the dark, with assistance. #collaboration
Fetch in the dark with Izgi the dog.
If you would like to see more of Izgi the dog, just ask.
with #matplotlib #geopandas #fitdecode & help from this repo: https://github.com/dodo-saba/fit2gpx/
day 17 #30DayMapChallenge
little bit behind on #30DayMapChallenge so here is day 16: #Choropleth
reusing most of my code from day hexagons...
distribution of springs (forras) across Hungary.
Data from #OpenStreetMap, hexagons from #h3 plotted with #matplotlib and #geopandas
El mapa del temps té dues novetats:
- fletxes de vent
- temperatura
https://mastodont.cat/@meteocat/113446276630580136
He alliberat el codi de @meteocat
https://codeberg.org/spla/meteocat
Publica la predicció del temps per tot #Catalunya amb les dades del portal de dades obertes de la Generalitat, les mateixes dades que meteo.cat.
Tot el que mostra l'imatge es genera en temps real. Tant el text de la predicció com les icones del estat del cel i de la mar s'obtenen des de les dades obertes de meteo.cat, o sigui, son dades oficials.
Totes les icones es geolocalitzen damunt el mapa OpenStreetMap amb la seva latitud i longitud exactes.
Mola eh?
Quan pugui alliberaré el codi, m'ha divertit molt programar-lo.
https://mastodont.cat/@meteocat/113440684998759258
Hungarian Oases.
Bivariate choropleth showing the density of natural (forrás = springs) and unnatural springs (kocsma = pubs) across Hungary.
Data from #OpenStreetMap, hexagons from #h3, plotted using #geopandas & #matplotlib
#30DayMapChallenge Day 4: #hexagons
Regional Capitals of Italy.
Polygons of Parks and gardens (green), buildings (white) and piazzas/squares (red). Data from #OpenStreetMap via #osmnx and plotted with #geopandas & #matplotlib. font: Scoglietto by Petra Heidorn
took me far too long to work out the required OpenStreetMap tags to get the nodes for the regional capitals.
#30DayMapChallenge Day 3: #Polygons
The #GeoPython2024 recordings just dropped, including this #GeoPandas workshop
Leaving Prague with tons of new ideas and impressions.
Thanks @martinfleis and team for organizing and hosting this 2nd edition of SDSL. Looking forward to many more to come
Greg Cocks 
