“You can’t always get what you want
But if you try sometimes, well, you might find
You get what you need” (Rolling Stones, You Can’t Always Get What You Want, Album: Let it Bleed, 1969)

I had an idea for a map – where did all of the non native plants in Britain come from? I thought there might be something interesting there if I could find the data and map it.

I called up my new friend Claude and asked for some help with the data “is there a dataset that shows common flower and shrub species found in great britain and their country of origin (possibly with some historical narrative of how they arrived in the uk)?” That took me to the Royal Botanical Gardens Kew’s “BIFloraExplorer” with over 3000 species in Britain and the Botanical Society of Britain and Ireland’s “Plant Atlas 2020” – loads of time saved, I had some authoritative and relevant data in minutes.

Unusually mild weather helped make week five productive. I can feel the benefits as I write this, a week later.

• 11 hours, 37 minutes all training

• 19.3 miles running

• 1,890 ft D+ running

Tuesday I did hill sprints on the "Wallenberg Wall" in my neighborhood. My cadence has increased, and I was a second faster on average. 23 seconds instead of 24. Getting faster is one of my goals, and I'm making measurable progress.

This new version is compatible with QGIS 4 (based on Qt 6 framework). 

Until QGIS 4 is officially released, in order to try the new Semi-Automatic Classification Plugin you can install the prerelease (QGIS 3.99 master).

The NDFF (Nationale Databank Flora & Fauna) holds over 200 million verified observations of plant and animal species from the Netherlands. These data are contributed by volunteers and professionals from hundreds of organizations. Together they contain a wealth of information about the occurrence of plant and animal species in the Netherlands.  Since 2025, the database is accessible to everyone free of charge. That means that one can download all data for 5 × 5 km grid cells (certain restrictions apply). 

Observations are provided as polygons. This post provides an example of how to quickly create summary raster maps showing the total number of observed species. Non-native species are excluded to focus on native biodiversity patterns. Moreover, each record is treated as a single observations regardless of the reported number of individuals. 

What does it mean to speak about European digital infrastructure? It means:

• Use of open standards (such as those promoted by the Open Geospatial Consortium).
• Compliance with regulatory frameworks such as INSPIRE.
• A real possibility of self-hosting.
• Independence from unilateral changes in licenses or terms of use.
• The ability to audit, evolve, and adapt the system over the long term.

Europe has clearly defined its commitment to the digital commons and technological sovereignty.
But that strategy is not materialized through declarations. It is materialized through real infrastructures.

¿Qué significa hablar de infraestructura digital europea? Significa:

• Uso de estándares abiertos (como los promovidos por el Open Geospatial Consortium).
• Cumplimiento de marcos normativos como la directiva INSPIRE.
• Posibilidad real de autohospedaje.
• Independencia frente a cambios unilaterales de licencias o condiciones de uso.
• Capacidad de auditar, evolucionar y adaptar el sistema a largo plazo.

Europa ha definido claramente su apuesta por el bien común digital y la soberanía tecnológica. Pero esa estrategia no se concreta en declaraciones. Se concreta en infraestructuras reales.

We are happy to announce that GeoServer 3 is approaching general availability with a target release date of 15th of April 2026.

This major upgrade modernises the platform’s foundation with the migration to Spring 7 and JDK 17, brings a refreshed user experience and replaces legacy image-processing components with ImageN to deliver significantly improved raster performance and maintainability. The release aligns GeoServer with current Java ecosystems, strengthens security and vulnerability management, and simplifies cloud-native deployments. You can read more about the GeoServer 3 initiative on this page.

No maps in this post!

I mentor a couple of people and I was about to start a new project this week. I was going to knock up a Google Sheet or Doc to track goals, talks and meetings and share with the mentee and my co-mentor. It occurred to me that I could vibe code an app to track the mentee’s progress and to provide structure to our regular meetings.

With a lot of help from Claude I’ve got something running that does that for a few mentors and mentees, it runs on desktop and mobile and quite a lot of the input is voice to text which is particularly useful in mobile. It took about 3 hours, to build test and deploy.

I am sure that I’ll find some problems or feature gaps in the future but that doesn’t matter in my use case. I don’t plan to build this into a business or to scale it up to thousands of users it’s just a tool that makes record keeping for me and my mentees easier.

IOSACal 0.7 was released yesterday. Here is a quick summary of what’s new.

This long cycle was mostly about documentation improvements and some maintenance tasks, the boring but essential work that keeps the project going.

Version 0.7 is already available in PyPI and conda-forge. There is an updated version record at Zenodo.

All changes were contributed by Stefano Costa.

Die FOSSGIS-Konferenz 2026 findet vom 25.-28. März 2026 in Göttingen und Online statt. Es sind nur noch wenige Wochen bis zur Konferenz. Die Vorfreude wächst stetig und die Vorbereitungen laufen auf Hochtouren!

Die Konferenz wird vom gemeinnützigen FOSSGIS e.V, der OpenStreetMap Community in Kooperation mit dem Geographischen Institut der Georg-August-Universität Göttingen organisiert und findet auf dem Campus der Uni Göttingen statt.

Auch in diesem Jahr zeichnet sich ein großes Interesse an der Konferenz ab. Die Anmeldungen steigen von Woche zu Woche. Zum Glück bietet das Zentrale Hörsaalgebäude der Uni Göttingen ausreichend Platz, so dass es die bisher größte FOSSGIS-Konferenz werden könnte.

• Added optional dependency Pandas for performance improvement in tabular data.
• In tool “Band classification” added option for using PyTorch pretrained model. In case a pretrained model is selected, and additional algorithm is selected for classification, using the same parameters of the named algorithm (e.g. random forest); after executing the pretrained model, the additional algorithm is executed on the embeddings for classification. Currently, it works with models pretrained by the Allen Institute for Artificial Intelligence (SatlasPretrain: https://satlas-pretrain.allen.ai) in particular, Sentinel-2 swin-v2-base single-image multispectral and swin-v...

TorchGeo 0.9 includes 13 new datasets and a number of improvements required for better time series support, encompassing 3 months of hard work by 15 contributors from around the world. We are now trying to make more frequent releases to get exciting new features out to users as quickly as possible!

Throughout the first month of 2026, our ninjas added a nifty set of improvements to three useful plugins that we love: the GeoMapFish Search, OpenStreetMap Nominatim Search, and OSRM Routing plugins. These plugins all provide genuinely useful functionalities as well as being great showcases of how easy it is to integrate QField with online REST endpoints.

All three plugins have been updated to ship with useful endpoint presets out of the box, and users also have the option to configure their own custom endpoints for more flexibility. To configure endpoints, open QField’s settings panel, navigate to the plugin manager, and click the settings button next to the desired plugin.

Se você trabalha com GIS/QGIS e ainda depende de cliques, processos manuais e retrabalho, chegou a hora de mudar isso.

Estão abertas as inscrições para o Curso Python com GIS do Zero, uma formação técnica e prática para quem quer sair do modo operacional e começar a programar o geoprocessamento de verdade.

Aqui você aprende Python aplicado ao GIS, não Python genérico.

O que você vai dominar:

Python do zero com foco técnico
Pandas e Geopandas aplicados ao GIS
Processamento de vetores e rasters (GDAL/OGR)
Análises espaciais e estatísticas zonais
SQL Espacial moderno com DuckDB Spatial
Automação de processos no QGIS
Introdução ao desenvolvimento de plugins

Tudo aplicado a problemas reais, como acontece no mercado.

Para quem é este curso?

Click on the image above to view Dead Reckoning v2

A couple of weeks ago I finished my Dead Reckoning V1 app and I was pretty pleased with it, all the gigs that the Dead had played summarised and displayed along with set lists, sound tracks and more. I released it just before Geomob and got some good feedback so a few days later I decided to publicise it to the Grateful Dead community on Reddit, then the storm broke!

La nueva versión 2.7 de gvSIG Desktop incluye una nueva calculadora de campos, cuyas principales ventajas son, por un lado, que se pueden rellenar varios campos a la vez, y por otro, que ha mejorado significativamente el rendimiento cuando se pretenden rellenar muchos registros a la vez, al no cargarse en memoria todos ellos sino por bloques.

La nueva calculadora se basa en la herramienta de actualizar tabla que se había incluido en la versión anterior, donde se había mejorado la parte de rellenado de registros. Ahora dispone de una pestaña “Opciones” donde se puede seleccionar el número de registros en los que se quiere que termine edición y reinicie. De esa forma no carga todos los datos en memoria y no bloquea el equipo, evitando así también posibles pérdidas de datos.

En muchas ocasiones, hablar de software libre o de código abierto en proyectos públicos se asocia a innovación. Y aunque es cierto que el acceso al conocimiento permite innovar de forma más eficiente en muchos ámbitos, también suele interpretarse como una apuesta por soluciones alternativas o incluso de riesgo.

Si nunca lo fue, hoy todavía menos: esa lectura ya no encaja con la realidad.

Cada vez más, el verdadero riesgo no está en el software libre. Está en la dependencia.

It’s our pleasure to share our first Documentation and Infrastructure Report with highlights ranging across documentation, web infrastructure, and community-facing work. While this blog post provides a brief summary and team introduction, you can find the full report here.

Click on the image above to view Dead Reckoning

This could be a long post because this was an ambitious project that was full of challenges and there are a few learnings, but first a bit of context.

A friend turned me on to the Grateful Dead in 1969, one listen to Live Dead and I was hooked. I still think the transition from Dark Star to St. Stephen is one of the most sublime bits of music ever. When the Dead came to England in 1972 I managed to get to most of their London gigs and made the journey to Bickershaw for the longest performance I have ever seen, I think it ran out at nearly 5 hours!

We are living in a time when almost every territorial project is presented alongside concepts such as artificial intelligence, digital twins or advanced analytics. The message is appealing: prediction, automation, intelligent decision-making.

But there is a less visible and far more decisive reality:
these systems only work properly when data is well structured.

AI applied to territorial management does not just require large volumes of information. It requires data that is coherent, comparable and maintainable over time. This is where standards come into play.

Los mapas en papel son planos, las pantallas en las que vemos Google Maps también lo son. Y nadie duda de su admirable exactitud. En cambio, nos dicen que la tierra es redonda… sospechoso, ¿no? ¡Hemos vivido en una mentira toda la vida! Ellos nos engañan.

¿Pero quiénes son ellos?

Los mapas, naturalmente.

Porque resulta que la Tierra no es plana, pero tampoco es perfectamente redonda, y comprender cómo describimos su forma es el primer paso para entender la cartografía moderna, la navegación o el funcionamiento del GPS.

La Tierra es una realidad única, pero existen distintos modelos para representarla: desde su superficie real, hasta los mapas planos que utilizamos a diario.

Vivimos un momento en el que casi cualquier proyecto territorial se presenta asociado a conceptos como inteligencia artificial, gemelos digitales o analítica avanzada. El mensaje es atractivo: predicción, automatización, toma de decisiones inteligente.

Pero hay una realidad menos visible y mucho más determinante:
estos sistemas solo funcionan bien si los datos están bien estructurados.

La IA aplicada al territorio no necesita únicamente grandes volúmenes de información. Necesita datos coherentes, comparables y mantenibles en el tiempo. Y ahí es donde entran en juego los estándares.

In many countries and regions, public administrations are revising their urban planning and land-use legislation with a shared goal: to simplify procedures, reduce administrative burdens, and adapt territorial management to an increasingly complex and dynamic reality.

The Valencian Community (Spain) is a recent example of this process, with the promotion of a new Land Law based on a widely shared diagnosis: excessively long procedures, documentary overload, duplication of information, and difficulties in coordinating data across departments and administrations. A situation that, to a greater or lesser extent, is repeated in many other territories.

En muchos países y regiones, las administraciones públicas están revisando su legislación urbanística y territorial con un objetivo común: simplificar procedimientos, reducir cargas administrativas y adaptar la gestión del territorio a una realidad cada vez más compleja y dinámica.

La Comunitat Valenciana es un ejemplo reciente de este proceso, con el impulso de una nueva Ley del Suelo que parte de un diagnóstico ampliamente compartido: procedimientos excesivamente largos, sobrecarga documental, duplicidades y dificultades para coordinar información entre departamentos y administraciones. Un escenario que, en mayor o menor medida, se repite en muchos otros territorios.

Ya desde los inicios de la red de autónomos que fue el germen de Geomático, teníamos la costumbre de hacer, todos los años, al menos una reunión presencial de todo el equipo. Para quienes trabajáis en empresas cien por cien en remoto, sabéis lo importante que es juntarse y convivir con otros humanos.

En Geomático, además, al ser una cooperativa, aprovechamos la ocasión para realizar lo que legalmente es nuestra Asamblea Ordinaria. En nuestro caso, utilizamos este evento tanto para la toma de decisiones que requieren el debate de todas las personas socias como para lo que comúnmente llamamos “frikear” un poco.

Durante todo este tiempo, cuando se acercaban estas fechas, elegíamos dónde queríamos vernos y nos poníamos a buscar alojamiento. Hace cuatro años decidimos que nos reuniríamos en Segovia y, durante la búsqueda, dimos con Duermevela.

For years, at gvSIG we have insisted on a concept that was often dismissed as ideological, romantic, or even naïve: technological sovereignty.

Today, in a context marked by geopolitical tensions, supply chain disruptions, and structural dependence on external technologies, this concept has moved beyond academic debate to become a strategic necessity.

Europe imports around 80% of its digital infrastructure and technologies. This is not only an economic issue: it is a political, operational, and democratic vulnerability. We depend on decisions taken outside our legal frameworks, our interests, and, in many cases, our values.

Durante años, en gvSIG hemos insistido en un concepto que muchas veces se despachaba como ideológico, romántico o incluso ingenuo: la soberanía tecnológica.
Hoy, en pleno contexto de tensiones geopolíticas, disrupciones en las cadenas de suministro y dependencia estructural de tecnologías externas, ese concepto ha dejado de ser un debate académico para convertirse en una necesidad estratégica.

Europa importa alrededor del 80 % de su infraestructura y tecnología digital. Esto no es solo una cuestión económica: es una vulnerabilidad política, operativa y democrática. Dependemos de decisiones tomadas fuera de nuestro marco legal, de nuestros intereses y, en muchos casos, de nuestros valores.

We’re genuinely excited to co-organise the upcoming QGIS User Conference together with QGIS User Group Switzerland, and to do so in Laax, right here in the Swiss Alps.

Laax is home to OPENGIS.ch and the place where QField was born. It is a setting that has shaped how we work, how we collaborate, and how we think about building open-source tools that are meant to be used in the real world.

Bringing the global QGIS community together in such a place feels just right. People and ideas come together around open source, with space to exchange, reflect, and collaborate, in an environment that mirrors values that are deeply rooted in our DNA and our close connection to nature.

El nuevo frontend de gvSIG Online da un paso adelante en usabilidad, claridad y experiencia de usuario.

En este breve vídeo te mostramos, de forma rápida y directa, las principales herramientas y elementos de la interfaz: navegación por el geoportal, gestión de capas, herramientas habituales de consulta, edición, marcadores, etc… y una organización del interfaz pensada para trabajar de forma más ágil y eficiente con información geoespacial.

Ver el vídeo:

Una buena oportunidad para conocer, en solo unos minutos, cómo evoluciona gvSIG Online y qué aporta su nuevo frontend al trabajo diario con mapas y datos territoriales. Y esto solo son las herramientas principales…

I've made my long range plan for 2026. It's different from my plans from 2023-2025, which were about recovering from injuries and trying to finish a 100 mile race. I succeeded in the former, but not in the latter.

In 2026 I am trying to be more intentional about training for speed. I'm going to do some workouts that develop power and neuromuscular adaptations, without any concern for building aerobic capacity during those workouts. I'm going to do more strides during longer runs and sign up for some shorter 5-10K races. I'm going to remind myself that running briefly, but regularly, at 100 percent can translate to running faster at 80-85 percent during a longer run.

A Spatial Data Infrastructure (SDI) works like the nervous system of the digital territory. It is not always visible, but it connects data, people, and decisions. When everything works properly, it goes unnoticed. When it does not exist, problems become chronic.

Outdated layers, unresponsive services, duplicated or inconsistent data… the outcome is well known: wasted time, poor coordination between departments, and decisions made with incomplete information— not to mention the public service role that SDIs play in terms of communication and transparency with citizens.

Una Infraestructura de Datos Espaciales (IDE) funciona como el sistema nervioso del territorio digital. No siempre se ve, pero conecta datos, personas y decisiones. Mientras todo funciona, pasa desapercibida. Cuando no existe, los problemas son crónicos.

Capas desactualizadas, servicios que no responden, datos duplicados o incongruentes… El resultado es conocido: más tiempo perdido, menor coordinación entre áreas y decisiones tomadas con información incompleta… por no hablar del servicio público que aportan las IDE en cuanto a comunicación y transparencia con los ciudadanos.

Click on the image above to view the map

Anyone who knows me knows that two of my top passions are maps and football, more specifically The Arsenal. Fans are always debating the historic achievements of their clubs, in some cases going back 40 years or more to find success (name-check = Ken Field), so I thought I would use a map canvas as a backdrop to an interactive dashboard to explore the connections between finances and success.

In the day-to-day management of a city council, information is key. But it is not just about having data—it is about knowing how to organize it, keep it up to date, and turn it into useful knowledge for decision-making. This is where the geographic dimension plays a fundamental role: infrastructures, administrative procedures, public services, environment, urban planning, or heritage… almost everything happens in a specific place within the territory.

The gvSIG Suite provides a comprehensive response to this challenge by combining three tools that cover the entire lifecycle of municipal geographic information: gvSIG Online, gvSIG Mapps, and gvSIG Desktop.

There were five open seats for the 2025 board in this cycle of the Board of Directors election. The Chief Returning Officers reported that 285 out of 468 Charter members cast their votes for the Board of Directors (60% participation). … Continued

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The Open Source Geospatial Foundation is pleased to announce the
results of its Board of Directors elections 2025.

There were five open seats for the 2025 board in this cycle of the
Board of Directors election. The Chief Returning Officers reported
that 285 out of 468 Charter members cast their votes for the Board of
Directors (60% participation). More information on the election
results is available on the dedicated OSGeo wiki page[1].

En la gestión diaria de un ayuntamiento, la información es clave. Pero no solo importa tener datos, sino saber organizarlos, mantenerlos actualizados y convertirlos en conocimiento útil para la toma de decisiones. Y ahí es donde la dimensión geográfica juega un papel fundamental: infraestructuras, expedientes, servicios públicos, medio ambiente, urbanismo o patrimonio… casi todo ocurre en un lugar concreto del territorio.

La Suite gvSIG ofrece una respuesta integral a este reto, combinando tres herramientas que cubren todo el ciclo de vida de la información geográfica municipal: gvSIG Online, gvSIG Mapps y gvSIG Desktop.

For years, in the field of geomatics, we have worked to describe territory with the highest possible level of accuracy. First came traditional GIS, then the Smart Cities narrative, and more recently the consolidation of the digital twin concept. Each of these terms has served a very specific purpose: helping us explain complex projects and highlight the value of geospatial technology in increasingly broad contexts.

The digital twin has represented an important step forward. It has allowed us to talk about models that integrate heterogeneous data, evolve over time, and represent complex territorial systems in an understandable way. However, as these projects mature, a shared feeling begins to emerge: representing reality well is no longer enough.

With gvSIG Desktop 2.7, we continue moving forward along the path started in previous versions—a path clearly focused on integration with gvSIG Online and on the evolution of gvSIG Desktop as an advanced GIS editor, fully integrated into modern Spatial Data Infrastructure (SDI) architectures.

In this context, gvSIG Desktop consolidates its role as the desktop tool for editing, analysis, and quality control of geospatial information, naturally complementing gvSIG Online as a platform for data publication, management, and dissemination. This combination is designed to support real-world workflows in public administrations, corporate projects, and collaborative environments.

Click on image above to view the Geomob Events map

Last Friday I recorded a podcast with Ed Freyfogle about my vibe coding exploits. In the podcast Ed challenged me to make a map of Geomob events, so on Sunday afternoon I sat down to see what I could do.

Con la versión gvSIG Desktop 2.7 continuamos avanzando en el camino iniciado en versiones anteriores, un camino claramente orientado a la integración con gvSIG Online y a la evolución de gvSIG Desktop como un editor SIG avanzado, plenamente integrado en arquitecturas IDE modernas.

En este contexto, gvSIG Desktop se consolida como la herramienta de escritorio para la edición, análisis y control de calidad de la información geoespacial, complementando de forma natural a gvSIG Online como plataforma de publicación, gestión y difusión de datos. Una combinación pensada para responder a flujos de trabajo reales en administraciones públicas, proyectos corporativos y entornos colaborativos.

Durante años, en el ámbito de la geomática hemos trabajado para describir el territorio con la mayor precisión posible. Primero fueron los SIG tradicionales, después el discurso de las Smart Cities y, más recientemente, la consolidación del concepto de gemelo digital. Cada uno de estos términos ha cumplido una función muy concreta: ayudarnos a explicar proyectos complejos y a poner en valor la tecnología geoespacial en contextos cada vez más amplios.

Hello, my name is Sean Gillies, and this is my blog. I write about running, cooking and eating, gardening, travel, family, programming, Python, API design, geography, geographic data formats and protocols, open source, and internet standards. Mostly running and local geography. Fort Collins, Colorado, is my home. I work at TileDB, which sells a multimodal data platform for genomics and precision medicine. I appreciate emailed comments on my posts. You can find my address in the "about" page linked at the top of this page. Happy New Year!

Snow-covered cones, craters, and lava flows of Craters of the Moon National Monument in Idaho, viewed from an airliner traveling between Denver and Seattle on February 21, 2025.

Finally it’s here: Jupyter notebooks inside QGIS. I don’t know about you but I’ve been hoping for someone to get around to doing this for quite a while.

Qiusheng Wu published the first version of the Notebook plugin on 26 Dec 2025. Late Christmas present?!

For the setup, there’s a handy tutorial by Hans van der Kwast and, additionally, Qiusheng published an intro video:

Development is going fast (version 0.3.0 at the time of writing) so there will be new features when you install / update the plugin compared to both the tutorial and the video.

Click on image above to view the map

Do the levels of deaths from mass shootings in the US correlate with the gun policies of individual states? I thought this might be an interesting topic to explore in my journey of mapping with AI, you can draw a conclusion from the screenshot above or wait until you get to the end of this post for my thoughts. Mapping wise – I also wanted to explore building a fairly complex map with a detailed prompt to see how close I could get in one go.

I started out trying to make web maps with WebMapperGPT and then Google Gemini to scratch an itch after my pal Ken Field said he was going to make a map a day in 2026. I thought I would give it a try and as some of the previous posts in this thread have shown I have been able to make some reasonable web maps with quite nice design and interaction (IMHO). But it isn’t easy and it’s certainly not a miracle coding solution.

My coding expertise is non existent – I do not know anything about JavaScript, I can edit but not create html pages and CSS with guidance and I have used mark-down a few times. My cartographic skills are quite limited and are a combination of self taught (not good) and correction by ridicule (Ken Field), I can use QGIS but am only a basic level user. Bottom line I couldn’t build one of the maps that I have built without assistance from AI.

Nyall Dawson has been working on FOSS4G projects since 2013, having contributed to numerous projects such as QGIS, GDAL, and PROJ. He is best known as a key, longstanding core contributor to QGIS, with over 24000 commits (and growing).  Nyall …...

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We are honoured to announce that Nyall[1] is the recipient of the 2025
Sol Katz Award (the 21st year of the award) at the recent FOSS4G event
in Auckland, New Zealand.

Nyall Dawson has been working on FOSS4G projects since 2013, having
contributed to numerous projects such as QGIS, GDAL, and PROJ.

En entornos donde cada segundo cuenta, la capacidad de gestionar, visualizar y analizar información geográfica de forma precisa es un factor determinante para el éxito operativo. Desde la Suite gvSIG, estamos impulsando una solución integral diseñada para modernizar las Infraestructuras de Datos Espaciales (IDE) y optimizar los procesos de respuesta ante emergencias y asistencia ciudadana.

Nuestra propuesta tecnológica se basa en la integración de tres pilares fundamentales que cubren todo el ciclo de vida del dato espacial:

We are happy to announce that the QGIS User Conference 2026 will take place on 5–6 October 2026 in Laax, in the heart of the Swiss Alps. Visit the conference website to find out all details.

The conference will be hosted at Crap Sogn Gion, at 2,222 metres above sea level, offering a unique setting with panoramic mountain views and direct access to the surrounding alpine landscape. Despite its mountain location, Laax is well connected by public transport and provides a wide range of accommodation options in the valley.

As Chair of the QGIS Project and of the QGIS User Conference 2026, I’m very much looking forward to welcoming the community in my hometown and place of birth of QField.

La red GeoLIBERO ha sido reconocida oficialmente como Red Emérita por el Programa CYTED. Este reconocimiento fue aprobado por la Asamblea General celebrada en noviembre de 2025 en Asunción (Paraguay) y supone, sobre todo, un respaldo al trabajo colectivo que venimos desarrollando desde hace años en torno a la geomática libre en Iberoamérica.

Además, he sido nombrado coordinador de la Red Emérita GeoLIBERO para el periodo 2026–2029, una responsabilidad que desde la Asociación gvSIG asumimos con orgullo y con muchas ganas de seguir impulsando esta comunidad.

Throughout the week, in workshops, presentations, and project showcases, a consistent theme emerged: QField is not just “the mobile companion to QGIS,” it is production infrastructure for complete field-to-cloud-to-desktop workflows.

It was incredible to see how present QField was throughout FOSS4G 2025 in Auckland. With around 20 presentations and workshops featuring QField, the conference showcased a wide range of real-world, production-grade use cases across many sectors. 

What stood out was not just the number of talks, but how consistently QField was presented as a trusted, operational tool rather than an experiment.

Click the image to go the Unequal London Map (v2)

I was quite pleased with the first version of the Unequal London Map, but by the time I had crawled over the finish line I realised that there were several choices that I had made which were less than ideal, particularly with regard to the data I selected. I thought it should be quite easy to build another version with more/different data and remedy some of the other issues. I decided to start with Gemini to avoid the usage limits with WebMapperGPT.

The first stage was to identify the data that I could use to give a better view of inequality in London. I started with this prompt: