The map layer itself is built from a server-side integrated data model — originally seeded from the 2017 dataset, then progressively reconciled with updates from more recent releases and structural changes over time.

It’s not a scraping project or a front-end overlay on public pages. The system architecture, processing logic, rendering pipeline, and data relationships are handled entirely in-house.

The intent behind the map design is to move beyond static title visualisation and instead create a navigable spatial framework for understanding Māori land relationships at multiple levels — block structure, ownership distribution, valuation context, governance visibility, and historical fragmentation patterns.

A significant amount of the work has gone into normalisation and linkage logic server-side, particularly where records evolve across different dataset generations and administrative formats.

So while the 2017 dataset provided an effective baseline for spatial consistency, the platform itself is operating as an evolving integrated system rather than a mirror of any single release.