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Applications

Terra is a general-purpose spatial index, so the same handful of patterns recur across very different sectors. This page describes the patterns and then how they appear in practice.

The recurring patterns​

Joining data that shares no geometry. Different systems model space differently — parcels as polygons, deliveries as points, networks as lines, imagery as rasters. Indexed to Terra cells, they join on an integer instead of a spatial predicate.

Measuring by counting. Because the projection is equal-area, a cell count is an area. A region of 2,401 Res 8 cells is exactly 2,401 hectares, with no geometry summation and no latitude correction.

Aggregating across scales. Fine-resolution results roll up to coarser resolutions by arithmetic on the index. One indexed dataset serves a national overview and a site-level query.

Addressing places that have no address. A cell exists for every point in the Kingdom, so coverage does not depend on a street existing or being current in a registry.

Privacy through resolution. Reporting at Res 6 instead of Res 11 coarsens a position from metres to hundreds of metres without altering the analysis pipeline. Resolution is a privacy control.

In practice​

Land and cadastre​

Parcel records, ownership, valuation, and land use are held by different bodies in different formats. Indexing each to Res 8 gives a common key, and a cell count gives area directly.

Because cells are resolution-tagged, a cadastral dataset can be published at Res 8 for general use while the underlying survey is retained at Res 12 — one grid, two levels of disclosure.

Utilities and networks​

Water, power, and telecommunications assets are linear or point features spread over long distances. Indexing them puts network assets, service connections, faults, and consumption on one key. gridDisk answers "what is within k cells of this fault" without a spatial query, and directed edges key flow between cells rather than at them.

Logistics and delivery​

Delivery points, routes, and service areas index at Res 8. Coverage becomes a cell set that can be compared, differenced, and combined with set operations rather than polygon overlay. Dispatch reads a Terra Grid Code aloud where a street address does not exist or is ambiguous.

Environment and agriculture​

Soil, vegetation, rainfall, and land-cover observations arrive at wildly different sampling densities. Indexing each to its appropriate resolution, then rolling up to a common one, avoids resampling rasters and preserves the fact that sources differed.

Change detection reduces to comparing cell sets between dates.

Emergency response and public safety​

Incident locations index at Res 8; response areas are cell sets; coverage gaps are set differences. Because a cell exists everywhere, an incident in open desert is as addressable as one in a city centre — which is where street-based addressing fails hardest.

Statistics and census​

Counting cells is measuring area, so density is a division rather than a geometric computation. The partial-cell coverage fraction lets boundary cells be handled explicitly rather than silently included or dropped, which is what makes national totals reconcile.

Publishing at a coarse resolution protects individual privacy while keeping the geometry consistent with finer internal work.

Infrastructure and construction​

Site boundaries, survey control, and progress observations index at fine resolutions during construction, then roll up for reporting. The grid is the same one the eventual operator will use, so handover does not involve a re-projection.

A note on resolution choice​

Across all of these, the most common mistake is indexing finer than the data supports. A Res 12 cell asserts sub-metre accuracy; a geocoded address does not have it. Index at the resolution your positions justify, and use SANSRS integration as the guide.

Next​

The Terra System is designed and developed by Tec Solution KSA.