11-19, 16:00–16:05 (Pacific/Auckland), WG403
Uber H3 has revolutionized spatial indexing, but its cell sizes vary a lot. I will introduce IGEO7, an aperture 7 hexagonal equal-area DGGS with its hierarchical indexing system Z7. It is now implemented in the open-source software DGGRID and has a handy Python wrapper, dggrid4py.
Uber's H3 has revolutionized spatial indexing, but its cells aren't equal-area, skewing global analyses and visualizations. What if you could have H3's elegant hierarchical indexing and true equal-area cells for statistically sound results?
IGEO7 is a pure aperture 7 hexagonal DGGS with a hierarchical indexing system named Z7. It is implemented in the long-standing open-source DGGRID software and has a handy Python wrapper, dggrid4py.
- https://dggrid.readthedocs.io/
- https://github.com/sahrk/DGGRID
- https://dggrid4py.readthedocs.io/
- https://github.com/allixender/dggrid4py
In this talk, I'll shortly introduce IGEO7's capabilities and show how to use it with DGGRID and dggrid4py. Come see how you no longer have to choose between handy hexagon indexing and statistically sound analysis with open-source world.
Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in open-source geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation.
Alex completed a Marie Skłodowska-Curie Individual Fellow (MSCA) with our Landscape Geoinformatics working group on improving standardised data preparation, parameterization and parallelisation for hydrological and water quality modelling across scales and has now started a 5-year project on spatial modelling of soil properties using machine-learning.