#geopython

#geo #RemoteSensing #earthobservation people! Has anyone got an example of using the #Copernicus #DataSpace -> documentation.dataspace.copern to go from searching using #pystac to getting a working #xarray dataset for #Sentinel2 reflectances? #python #geopython

2025-04-30

Ready to get started with r5py? Installation is simple via pip: pip install r5py. Check out the quickstart guide in our docs: r5py.readthedocs.io/stable/use #r5py #Python #GIS #GeoPython #Mapstodon

Martin Fleischmannmartinfleis@fosstodon.org
2025-04-28

Ever needed to simplify street networks? I did. And it is a pain. So we joined forces with @anavybor and @JamesGaboardi and wrote an algorithm that does that for us. And can do for you, as it is available as a Python package called `neatnet`.

Here's a short blog about it - martinfleischmann.net/simplifi

And here's, not so short preprint - arxiv.org/abs/2504.16198

But you probably want the package. That is here - uscuni.org/neatnet.

Happy coding!

#python #networks #geopython

Original network on the left, simplified one on the right.Image of face artifacts.Diagram of the neatnet's workflow.
2025-04-20

Your feedback matters! If you’ve read Geocomputation with Python, consider writing a review on Amazon or Goodreads, etc.

amazon.com/Geocomputation-Pyth

goodreads.com/book/show/218000

Thanks for your support! 🌍📖

#geocompx #geocompy #geopython #python

A book cover
Alexandre B A Villares 🐍villares@ciberlandia.pt
2025-04-12

"Encode #spatial data as #topology in #Python!

With #topojson it is possible to reduce the size of your spatial data. Mostly by orders of magnitude."

mattijn.github.io/topojson/

#geopython #geospacial #GIS #computationalGeometry

Alexandre B A Villares 🐍villares@ciberlandia.pt
2025-04-11

Trying unsucessfully to reproduce this #leafmap example :(

leafmap.org/maplibre/globe_con

youtube.com/watch?v=D2bdwLkU1KQ

UPDATE: Different computer... different result...

#Python #geopython #geospacial

A map showing a bit of São Paulo, near the Mario de Andrade Municipal Library, showing some simplified 3D volumes of buildings
2025-04-09

🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍

Exploring challenges & insights from #Rstats #Python & #JuliaLang for spatial data handling—geodetic coords, data cubes, and more!

🔗 Read here: arxiv.org/html/2503.16686v1

#SpatialDataScience #rspatial #geopython #juliageo

A screenshot of the paperA screenshot of the paperA screenshot of the paperA screenshot of the paper
2025-04-03

Finally a new #Shapely feature release! 🎉
Shapely 2.1.0 highlights include initial support for geometries with M or ZM values, functionality for coverage validation and simplification, and a set of other new top-level functions.

For a full overview, see shapely.readthedocs.io/en/late

#python #geopython #geospatial

Code snippet showing the initial support for M values, illustrating that with a POINT M.Image showing the functionality of `shapely.coverage_simplify`: on the left the countries of Africa, on the right the result of topologically simplifying those polygons preserving the coverage.
Martin Fleischmannmartinfleis@fosstodon.org
2025-04-01

"Spatial Data Science Languages: commonalities and needs" - that a preprint 11(!) of us wrote together as one of many outcomes of two workshops held in Münster (2023) and in Prague (2024). It summarised where we are, what we share between R, Python and Julia, what are the common challenges, lessons and recommendations - arxiv.org/abs/2503.16686

Big thanks belongs especially to @edzer who kickstarted the whole initiative! And to all the others who participated!

#rspatial #geopython #juliageo

Alexandre B A Villares 🐍villares@ciberlandia.pt
2025-03-10

It is super cool to be listed as a "contributor" for having chimed in (constructively) on a project's issue :D

github.com/nathanrooy/taxicab/

#taxicab is a library that improves on #OSMnx route-finding function, giving more useful results, specially on short routes.

#geopython #python

2025-03-02

Thank you to everyone who has already supported our work on open-source spatial analysis resources like Geocomputation with R and Geocomputation with Python! 🙏🌍

If you’ve found our books helpful, consider supporting future updates and free resources: buff.ly/3OMFPUU

#rstats #rspatial #geopython #geocompx

2025-02-26

🚀 New in PyLandStats!

The PyLandStats Python package by Marti Bosch now supports pattern-based spatial analysis! 🌍📊

Check out an example here: 🔗 buff.ly/3EOVQIc

#Geospatial #GeoPython #SpatialAnalysis #LandscapeEcology

A screenshot of the notebookA screenshot of the notebookA screenshot of the notebook
2025-02-24
It's time for #geopython 2025!
Introductory slide of GeoPython 2025 on the main screen.
2025-02-14

Happy 7th birthday to me 🎂! Thank you to the pygeoapi community for all of the valuable contributions! #foss4g #geopython github.com/geopython/pygeoapi/

2025-02-14

🎉 The "Geocomputation with Python" book has been officially published today!

Dive into the world of spatial analysis and geospatial data with Python. 📖🐍

Book's website: buff.ly/3NK2uBq

#geocompx #geopython #spatialanalysis

A screenshot of the book's websiteAn image with the publication date: February 14, 2025
2025-01-27

🌍 Excited to share the 1st edition of Geocomputation with Python is complete! 📖
Learn geospatial with Python—from vectors to rasters.

Read it online: buff.ly/3NK2uBq
Get the book: buff.ly/42t4dD7
Blog post: buff.ly/42s5fiN

Open-source + community-driven!

#geocompx #geopython #GIS #SpatialData

A screenshot of the blog postA screenshot of the blog postA screenshot of the blog post
2025-01-24
By any chance, anyone around here could put me in touch with the #geopython 2025 organisers? I tried the chat stuff on the website and the dedicated email address but did not get any reply yet. I would like to ask questions about registering my young colleagues as speakers but can't figure out how to do it. Thanks!
2025-01-09

Looking for resources from the previous edition of the OpenGeoHub Summer School (2023)?

Tutorials, code, and recordings for Python, R, and Julia are available at buff.ly/44uKIaT

#rspatial #geopython #juliageo

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