Spatial Computing

Learn how to aggregate point data into hexagonal density maps using H3 and Leaflet. This tutorial covers spatial binning, choropleth colouring, power-scaled colour ramps, and interactive multi-resolution analysis — all running in the browser.

A reflective piece on how large language models represent place: the difference between spatial and platial knowledge, what LLMs do well (cultural associations, character, narrative), what they get wrong (boundaries, recency, under-represented places), and how to build applications that use this capability honestly.

Spatial Narrative is a high-performance Rust library for modelling, indexing, and analysing events that unfold across geographic space and chronological time. Built for researchers, digital humanists, and data scientists, it provides spatial indexing, movement analysis, named entity recognition, and multi-format I/O.

An overview of our W2GIS 2025 paper analysing diabetes-related hospitalisations and deaths in Mexico from 2005–2022, using the marginalization index to understand how social inequalities shape health outcomes.

An extended reflection on the difference between the spatial and the platial, why it matters for data, design, and everyday life, and how embracing both can transform how we map the world.

This hands-on tutorial introduces H3, Uber's open-source hexagonal grid system that's transforming spatial analysis. Learn why hexagons outperform traditional grids, set up H3 in JavaScript, and build interactive mapping applications with step-by-step code examples.