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.