A deep dive into MapTiler's impressive mapping APIs and augmented reality capabilities.

Yesterday I gave a talk at Geomob London on my adventures in vibe coding. The slides are pretty but probably don't tell the whole story unless you have been reading my regular posts on my projects. The images in the slides are all cartoons of an old dog learning new tricks and got some praise, the way I made them was interesting, so i thought I would post about it.

Steven Feldman and Ian Muehlenhaus discuss the Disputation on the Power and Efficacy of Human Cartographic Expertise on the Geomob podcast.

Ian Muehlenhaus revisits the concept of disputation

Interactive critical map of documented state detention, disappearance, reeducation, and political prison sites worldwide since 2000.

This is th second Amazing Animals map after the IUCN asked me to take down the original version using their polygon data. This map has data on 388 species and is based on 750,000 observations/occurrences from the GBIF database. It took a lot of testing and exploration to come up with a way to present the data. In code terms Claude did everything, but in design and direction I was in the driving seat.

Introducing Map Styler GPT, a free WebMapGPT Suite tool that turns ordinary descriptive prompts and visual references into complete web-map design schemas.

A public disputation posing seventy-four questions about cartographic expertise, natural-language GIS, AI-assisted mapmaking, professional gatekeeping, and the public future of prompt cartography.

Prompt Cartography introduces Map Design Lab, a free, open, research-based style mixer for reusable map design schemas and AI-assisted cartography workflows.

A WebMapGPT garage note on map design schemas, preview maps, prompt cartography defaults, and why captured styles are only the starting point.

Reusable map style systems are now part of the Prompt Cartography workflow.

A hands-on WLIA workshop on prompt cartography, practical LLM workflows for GIS professionals, and making maps through natural language.

Why judging AI-assisted creative work as a category confuses tools with human judgment, craft, and care.