Thoughts on place, code, and spatial data science.
5 Feb 2026
5 Oct 2025
Exploring place, systems, and human-computer interaction.
A comprehensive, grounded-theory framework for curating personalised leisure walking experiences, creating a bridge between subjective human narratives and computational routing systems.
A collaborative impact initiative bridging the gap between academic research and industry practice to create safer, more engaging digital walking experiences.
Python library for modeling the human experience of place
Rust crate for spatiotemporal event analysis
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Browsing 1 articles tagged with Agent-Based Modelling.
An itinerary-centred agent-based framework for simulating pedestrian movement on urban networks
Urban life is made by the places that people merge together into formal routines. PlaceAgents is a framework for modelling multi-stop pedestrian itineraries on city networks using open and reproducible data—treating the city as linked places rather than abstract space.
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