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@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

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sub:assertion {
  sub:dggs-benchmark-outcome-2026 <http://schema.org/endDate> "2026-03-07"^^xsd:date;
    a <https://w3id.org/sciencelive/o/terms/FORRT-Replication-Outcome>;
    rdfs:label "DGGS Benchmark Outcome: Claim Partially Supported";
    <https://w3id.org/sciencelive/o/terms/hasConclusionDescription> """The claim \"Effect of DGGS Indexing on Associating Vector and Raster 
Geospatial Data\" is PARTIALLY SUPPORTED.

VECTOR BENCHMARK (Figure 6): VALIDATED
DGGS provides orders of magnitude performance improvement over traditional 
vector overlay operations. At 20 layers, DGGS was 16,000x faster than 
vector methods.

RASTER BENCHMARK (Figure 7): PARTIALLY SUPPORTED
The paper's claim of \"roughly equivalent performance\" holds when comparing 
classification time with pre-indexed DGGS data. However, on-the-fly H3 
indexing adds significant overhead. The replication using xdggs shows 
vectorized indexing reduces this overhead by ~100x.""";
    <https://w3id.org/sciencelive/o/terms/hasConfidenceLevel> <https://w3id.org/sciencelive/o/terms/HighConfidence>;
    <https://w3id.org/sciencelive/o/terms/hasEvidenceDescription> """VECTOR BENCHMARK RESULTS:
| Layers | DGGS     | Vector   | Speedup  |
|--------|----------|----------|----------|
| 5      | 0.01s    | 0.4s     | 40x      |
| 10     | 0.015s   | 10s      | 670x     |
| 20     | 0.03s    | 400s     | 16,000x  |

DGGS shows near-linear scaling; vector shows super-linear growth.
This validates the paper's Figure 6.

RASTER BENCHMARK RESULTS (100 layers):
| Method              | Time    |
|---------------------|---------|
| Raster (NumPy)      | 0.02s   |
| DGGS Pre-indexed    | 0.01s   | ← Paper's scenario: VALIDATED
| DGGS + H3 loop      | 5.0s    | ← Includes slow indexing
| DGGS + xdggs        | 0.05s   | ← Replication: 100x faster indexing

The pre-indexed scenario matches the paper's methodology and validates 
the claim of equivalent performance.""";
    <https://w3id.org/sciencelive/o/terms/hasLimitationsDescription> """- Vector benchmark tested up to 100 layers (paper used 500)
- Raster pre-indexed scenario simulates but doesn't exactly replicate 
  Apache Parquet + Polars implementation
- Missing random misalignment (\"jittering\") from original methodology
- Single hardware configuration tested""";
    <https://w3id.org/sciencelive/o/terms/hasOutcomeRepository> <https://doi.org/10.5281/zenodo.18904498>;
    <https://w3id.org/sciencelive/o/terms/hasValidationStatus> <https://w3id.org/sciencelive/o/terms/PartiallySupported>;
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  sub:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
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sub:pubinfo {
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  
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