DGGS Benchmark Replication Study – Results Dataset
Results Dataset for the DGGS Benchmark Replication Study Description This dataset contains the results of a reproducible replication study of the benchmarks presented in: Law, R.M. & Ardo, J. (2024). "Using a discrete global grid system for a scala
Results Dataset for the DGGS Benchmark Replication Study
Description
This dataset contains the results of a reproducible replication study of the benchmarks presented in:
Law, R.M. & Ardo, J. (2024). “Using a discrete global grid system for a scalable, interoperable, and reproducible system of land-use mapping.” Big Earth Data, 9(1), 29-46. DOI: 10.1080/20964471.2024.2429847
The replication validates the paper’s two central claims:
- Vector benchmark: DGGS provides “orders of magnitude” performance improvement over traditional vector overlay operations
- Raster benchmark: DGGS and raster methods show “roughly equivalent performance” for classification tasks
What’s New in Version 3.0.0
Version 3.0.0 extends the replication to include HEALPix benchmarks using the healpix-geo library (v0.0.11), which supports both sphere and WGS84 ellipsoid reference surfaces. This is the first version to provide a cross-DGGS unified comparison: H3 vs HEALPix/sphere vs HEALPix/WGS84.
Key new finding: The choice of reference surface (sphere vs WGS84 ellipsoid) has a negligible effect on performance but a large effect on cell assignment accuracy. At mid-latitudes (+48°, e.g. Mediterranean) and high latitudes (+62°, e.g. Scandinavia), 98% and 91% of pixels respectively are assigned to different HEALPix cells depending on whether a sphere or WGS84 ellipsoid is used. This is directly relevant to European EO data (Sentinel/Copernicus, 45–65°N) and provides a strong scientific argument for using geodetically-correct indexing in production workflows.
Files Included
Version 2.0.0 files (H3 / xdggs replication)
| File | Description |
|---|---|
vector_benchmark.csv | Timing results for vector overlay vs H3 DGGS comparison |
raster_benchmark.csv | Timing results for raster vs H3 DGGS comparison |
indexing_benchmark.json | Comparison of H3 loop vs xdggs vectorized indexing |
system_info.json | Hardware/software environment details for reproducibility |
summary.json | Structured summary of results and validation status |
benchmark_unified.png | Visualization of all benchmark results (PNG format) |
benchmark_unified.pdf | Visualization of all benchmark results (PDF format) |
Version 3.0.0 files (HEALPix / healpix-geo extension)
| File | Description |
|---|---|
vector_benchmark_healpix_geo.csv | Timing results for vector overlay vs HEALPix (sphere and WGS84)</📤 Share this pageFound this useful? Share it with your network. Files are hosted on the source repository. Click download to access the full dataset. Fouilloux, Anne (2026). DGGS Benchmark Replication Study – Results Dataset. https://doi.org/10.5281/zenodo.18904135
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