Installing gAIa as an App
gAIa works right in your browser, but installing it as a PWA gives you a full-screen, native-app experience with an icon on your home screen. Here's how to set it up on iPhone, Android, Mac, and Windows.
Updates, technical deep-dives, and tutorials from the team building the world's first living map of trees.
gAIa works right in your browser, but installing it as a PWA gives you a full-screen, native-app experience with an icon on your home screen. Here's how to set it up on iPhone, Android, Mac, and Windows.
gAIa is a living map of trees built on GUS — our peer-reviewed urban forest simulation framework. It combines real-world tree data, AI agents, and a semantic knowledge graph to give every tree a voice, and every city a tool to understand its urban forest.
New to gAIa? Start here. This 2-minute tour decodes every button on the map screen — the menu, search, mini-forest drawing tool, filters, and side toolbar — so you know exactly what each icon does.
Tap any tree on the gAIa map and a details panel slides in. Here's a 2-minute guide to the buttons along the top and everything you'll find inside — from photos to carbon, cooling, and growth forecasts.
The best part of gAIa is the conversation. This 2-minute guide shows how to chat with a single tree, a mini-forest, or gAIa as a whole — plus the chat controls and where your favourites, added trees, and past chats are saved.
A deep dive into the persona and episodic memory system that gives each tree a persistent, evolving identity.
A look under the technical hood of our semantic knowledge-graph
VAIV, a South Korean AI company, uses the GUS API to create Digital Twins of trees and quantify their cooling effect on the Urban Heat Island Effect in Seoul.
Seowoo Nam discusses how Green Unified Scenarios (GUS) can take more-than-human perspectives in urban forest governance.
Part 3 of the GUS series — discussing the inherent problems of urban forest models, sources of uncertainty, and how we address them.
Part 3 of 4 — Introducing the Digital Twinning scenario of the GUS framework, where virtual representations of the physical world help manage carbon emissions.
Part 1 of the GUS series — introducing how we build digital twins of urban forests to help cities design, forecast, and monitor green infrastructure.