Ignacio Borlaf-Mena

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You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

Spatial Data Science across Languages (SDSL) 2026

2026
Just published a tutorial about using GRASS for a viewshed workflow that employs an observer-relevant surface to selectively represent obstructions that effectively block line of sight at pedestrian height. This derived layer is then used to perform a cumulative viewshed analysis. Check it out here: https://ecodiv.earth/post/intervisibility/ #grassgis #osgeo #ahn #viewshed @grassgis

I have argued this point in the past, as I'm sure many others, but it's nice to have a term for this concept: hobbyless behavior.

https://www.tumblr.com/abbiistabbii/810110535568949248/the-germans-really-cooked-making-hobbyless

#hobbyless #hobbylos #HobbylessBehavior #HobbylosesVerhalten

Wrote about maintaining a human web and how the human.json project & the 'AI' blacklist for uBlock made browsing the web a bit better.

https://tzovar.as/maintaining-a-human-web-with-humans-json-aiblacklist/

#smallWeb #ai

Maintaining a human web: human.json & the 'AI' blacklist

My dislike strong opposition to engaging with “AI” generated things, be that texts, images, code or anything else is well-documented. But avoiding the mindless slop is still getting harder, as it seems that more and more developers, writers – and of course SEO-scum trying to make quick buck – can’t...

Bastian Greshake Tzovaras

Llevo meses trabajando en este proyecto y por fin está acabado.

He diseñado un teclado mecánico desde cero y lo he publicado en Codeberg con una licencia abierta (por si alguien se quiere montar uno).

Todo esto surge de que la mayoría de teclados de código abierto que he encontrado usan microcontroladores de 20 euros para arriba. Mientras, tenemos la Raspberry Pi Pico 2 por 6 pavos super barata y con un chip bastante más actual que los demás MCU. Y que narices, me hacen gracia las Raspberry y fue la excusa perfecta para comprarme una Pico.

Switches y keycaps, lo que se quiera gastar cada uno, pero lo que es la PCB con los componentes sale bastante barata, además que si algo se rompe es bastante fácil de reparar.

El repositorio se encuentra aquí:

https://codeberg.org/peps/renegade

#Renegade #RaspberryPi #Teclado #Keyboard

Introduction to the Geospatial Abstraction Library (GDAL) with the new CLI

https://videos.qwast-gis.com/w/8zCe8texdFBhWVzpYR9wrA

Introduction to the Geospatial Abstraction Library (GDAL) with the new CLI

PeerTube

🛰️ Geometry- and Physics-Aware Dataset Creation for Shadow Removal in High-Resolution Satellite Imagery https://meetingorganizer.copernicus.org/EGU26/EGU26-21279.html

🌳 Establishing an Earth observation Super-resolution and Validation Framework for Improved Climate Hazard Assessment and Response in Forestry https://meetingorganizer.copernicus.org/EGU26/EGU26-21127.html

[2/2]

#superresolution #earthobservation #GISChat #EGU #imagery

Abstract EGU26-21279

It's going to be a busy #EGU poster session for our team this year:

🌲 Explainable Machine Learning for diagnosing Data Quality Issues in Dendrometer-Based Tree Growth Time Series https://meetingorganizer.copernicus.org/EGU26/EGU26-21643.html

🌍 Machine learning based dynamic numerical climate multi-model ensemble weighting for high impact weather affecting the energy infrastructure https://meetingorganizer.copernicus.org/EGU26/EGU26-18613.html

[1/2]

#machineLearning #trees #climatemodelling

Abstract EGU26-21643

GitHub - gbif/name-parser: The core GBIF scientific name parser library

The core GBIF scientific name parser library. Contribute to gbif/name-parser development by creating an account on GitHub.

GitHub

The goal is to make corporate data less profitable.

Even stuff as simple as setting your birthdate to 1970-01-01 everywhere, adding [TEST] or [DELETED] as your name or account notes anywhere you don't need them to know your name.

Using plugins like AdNauseam to poison ad trackers (and cost them marketing dollars).

Using VPNs set to different locations.

Signing into data broker sites to "correct" outdated info (they'll often let you do that with little-to-no proof of identity, but will require your passport or state ID in order to delete your info). Bonus points if you correct it to someone else's info on their site that's similar to yours.

Only fill in required fields when you sign up for anything, but only provide correct info if it matters for you to use the service, otherwise provide plausible, but incorrect, data.

If you use LLMs anywhere, use the free tier and always vote thumbs up for bad answers and down for good ones. It wastes their resources and drives up their costs while making their training data worse.