Open-source DGGS comparison data supplement

A DGGS is a type of spatial reference system that partitions the globe into many individual, evenly spaced, and well-aligned cells to encode location. We calculated normalized area and compactness of cell geometries for 5 open-source DGGS implementations - Uber H3, Google S2, RiskAware OpenEAGGR, rHEALPix by Landcare Research New Zealand, and DGGRID by Southern Oregon University - to evaluate their suitability for a global-level statistical data cube. This repository contains all generated data and statistics. EAGGR doesn't seem to have a predefined logic of hierarchical cell resolutions for ISEA3H EAGGR doesn't seem to have a region filling algorithm available, neither for ISEA4T nor ISEA3H rHEALPix is pure Python (with Numpy/Scipy support), but cell generation/conversion is slower than the other C/C++ based implementations DGGRID is a commandline tool and can predominantly only be used to generate a grid and fill with sampling data, the Python API is only a wrapper Kmoch et. al (2022). Area and Shape Distortions in Open-Source Discrete Global Grid Systems. <strong><em>Big Earth Data</em></strong>