📄️ AI for Māori GIS
Start here for Māori GIS and AI. Learn the basic AI concepts, see how AI fits mapping and spatial work, then choose practical local AI, governance, source-checking and risk guidance.
📄️ AI basics
A plain-English introduction to artificial intelligence, machine learning, generative AI, LLMs, embeddings, RAG, agents, local AI and GeoAI, with practical GIS and mapping examples.
📄️ Digital twins and Māori
A Māori GIS perspective on digital twins, asking whose version of place is modelled, what data is included or excluded, and how Māori authority and knowledge should be governed in dynamic spatial models.
📄️ AI data and privacy
Practical reference for Māori GIS on AI training data, public Māori source material, ChatGPT and other provider data handling, local AI, Southland AI infrastructure and GIS data-flow decisions.
📄️ Drones and Māori GIS
Practical guidance for drone mapping over Māori whenua, marae and taiao, covering current Civil Aviation rules, privacy, tikanga, imagery governance, orthomosaics and safe storage.
📄️ LiDAR for Māori GIS
Practical Māori GIS guidance for using LINZ LiDAR, DEMs, DSMs and hillshades for whenua, hazards, pā landscapes, drainage and restoration without confusing terrain patterns with cultural meaning.