DGGS Benchmark Replication

A reproducible replication study of the benchmarks from Law & Ardo (2024), Using a discrete global grid system for a scalable, interoperable, and reproducible system of land-use mapping (Big Earth Data, 10.1080/20964471.2024.2429847).

This book presents the results. It is built from the committed result artifacts in results_*/ — the benchmarks themselves live in the run_*.py scripts and are documented in the README.

Contents¶

• 01 — Overview — paper claims, run environment, and benchmark configuration.

• 02 — H3 replication — Figures 6 & 7: DGGS vs vector overlay and vs raster.

• 03 — HEALPix benchmarks — the v3.0.0 extension: HEALPix on the sphere vs the WGS84 ellipsoid.

• 04 — Cross-method comparison — all methods side by side.

How to reproduce the benchmarks¶

The book loads pre-computed results. To regenerate them, run the benchmark scripts (see the README and Makefile):

pip install -r requirements.txt
make            # or: python run_comparison.py