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Published February 17, 2022 | Version v1.0.1

Open-source DGGS comparison data supplement

  • 1. University of Tartu

Description

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

Files

DGGRID_FULLER3H_2_stats.csv

Files (2.3 GB)

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Additional details

Related works

Cites
Software: 10.5281/zenodo.5873329 (DOI)
Is compiled by
Software: 10.5281/zenodo.5905935 (DOI)

Funding

European Commission
GLOMODAT - Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale 795625