H3: the physical world in comparable cells.

Loose coordinates are hard to compare and aggregate. H3 is a hexagonal spatial indexing system that divides the world into cells of known size, providing a single ruler for all movement.

H3 was created for urban analysis at a global scale and is today an open standard adopted by mobility, logistics and data companies worldwide. Dataoris works with cells at the ideal granularity to read points of interest, such as commercial areas, urban centers and footfall hubs: each captured event is mapped to its cell and to the most likely point of interest.

Hexagons have an advantage over square grids: every neighbor is the same distance from the center. This makes heat maps, flow calculations and comparisons between regions more precise and less biased.

Because aggregation happens by cell, anonymization is natural: you analyze the patterns of a territory, not the trajectory of an individual.

Cell granularity is a balance point between reading and privacy: cells that are too small would bring the analysis close to the individual trajectory; cells that are too large would dilute neighborhood and commercial-hub patterns. At the right size, you can read a shopping center, a traffic corridor or a campus, without ever isolating a person.

In practice, each event reaches your pipeline with the H3 cell already resolved. This eliminates the work of geocoding, grouping and normalizing coordinates, and lets any new analysis start from a ready, comparable spatial base.