GIS

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.

PlaceCrafter is a web-based platform that enables researchers to identify meaningful urban regions through clustering OpenStreetMap Points of Interest. Built with React, Leaflet, and D3.js, it provides interactive clustering, statistical validation, and platial visualisation of how cities are actually used.

Discover how the Platial Atlas project proposes capturing and representing places as they are lived and perceived by communities, using the PlaceCrafter framework to move beyond conventional geographic boundaries.

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.