RAÄ Exports¶
RAÄ exports provide Sweden-specific archaeology context from Riksantikvarieämbetet/Fornsök Open Data. The public map uses an aggregated density layer so national context remains legible without rendering hundreds of thousands of point markers. This is a Sweden-scoped source and product surface; it supplies no equivalent registry coverage for the other Nordic countries.
Current Governed Surface¶
data/raa/normalized/sweden_archaeology_layer.json records:
| Measure | Value |
|---|---|
| all published sites represented by the source | 761,917 |
records classified Fornlämning |
318,265 |
Fornlämning or possible ancient remains |
416,913 |
| one-degree density features rendered | 106 |
The public density GeoJSON is
data/raa/normalized/sweden_archaeology_density.geojson. Its cells summarize
the Fornlämning selection for national-scale rendering. A density feature is
therefore an aggregate display object, not an archaeological site and not a
sample.
flowchart LR
OpenData["published RAÄ site records"] --> Classify["heritage classification"]
Classify --> Select["Fornlämning selection"]
Select --> Aggregate["one-degree cell counts"]
Aggregate --> Context["Sweden archaeology density layer"]
Context --> Product["map and report context"]
Three Counts, Three Meanings¶
The 761,917 total describes the broad published source population represented
by the layer metadata. The 318,265 count describes the Fornlämning subset
used for density rendering. The 106 count describes grid cells that carry
aggregated map features. Comparing those numbers as though they shared an
observation unit would confuse source records, selected records, and rendered
geometry.
Worked Aggregate: The Densest Published Cell¶
The largest checked-in density feature covers the one-degree cell from
longitude 17 to 18 and latitude 59 to 60. Its published count is
27,450 selected Fornlämning records.
That feature establishes one aggregate statement: 27,450 source records in the selected classification were assigned to this grid cell under the current normalization. It does not identify 27,450 coordinates in the export, and the cell centroid or polygon must not be treated as the location of any individual record.
| Reuse operation | Defensible result | Information lost or invented |
|---|---|---|
| preserve the cell polygon and count | comparable aggregate under the same grid and selection | none beyond source-level detail already abstracted by the layer |
| convert the cell to one point | coarse visualization only, if labelled as an aggregate | polygon extent and within-cell distribution |
| expand the count into repeated points | no defensible scientific result | synthetic coordinates and false independence |
| compare with another grid size | only after recomputing both populations | direct count comparability across unequal areas |
The grid definition is therefore part of the observation. A density count without its cell geometry, selection class, and source population cannot be reconstructed or compared responsibly.
Supported Interpretation¶
The layer supports questions about the spatial density of published Swedish archaeology records under the declared classification and grid. It helps identify where admitted aDNA, pollen, or lake candidates sit relative to that registry context.
It does not establish:
- a sample-to-site relationship;
- contemporaneity between a registry record and another layer;
- historical abundance from modern registry density;
- equivalent archaeology coverage outside Sweden; or
- exact site chronology from a density cell.
The current normalized RAÄ layer carries no numeric temporal intervals. Spatial co-occurrence with a cell must therefore remain archaeology context, not a time-aligned event claim.
Reuse Contract¶
Carry the layer metadata, selection class, source population counts, one-degree grid definition, density GeoJSON, source identity, and non-numeric temporal posture together. Preserve cell counts as aggregates and do not expand a cell into synthetic site points.
Continue to RAÄ source guidance for source semantics, maps for role-aware spatial reading, and publication limits for comparison boundaries.