October 6, 2022: DGGS and their potential impact in Geoscience and Geospatial communities

Pangeo Show-and-Tell presentation by Alexander Kmoch, Department of Geography of the University of Tartu, (Estonia).


Alex Kmoch is a Distributed Spatial Systems Researcher with many years of
international experience in geospatial data management and web- and
cloud-based geoprocessing with a particular focus on land use, soils,
hydrology, and water quality. His interests include open standards and
web-services for location-based data sharing, modelling workflows,
machine learning, and interactive geo-visualisation. In his research on
DGGSs, Alex looks at the challenges in indexing, storing and querying
data via a DGGS to integrate, visualise and analyse arbitrary raster and
vector data and perform ML workloads on DGGS-based datacubes. He was
recently elected board member of the Estonian Geoinformatics Society
(EstGIS) and European Co-Chair for the OGC University Domain Working
Group. He is a member of the Landscape Geoinformatics Lab at the
Department of Geography of the University of Tartu, Estonia


A Discrete Global Grid Systems (DGGS) is a unique type of spatial
reference system comprising of a hierarchy of uniquely identifiable
discrete grid cells that span the globe at multiple resolutions. A DGGS
can support efficient management, storage, integration, exploration,
mining, and visualisation of large geospatial datasets, and several
systems of tesselation and indexing schemes exist.

The main topic of this session is to introduce the audience to the
theoretical background of Discrete Global Grid Systems (DGGS), current
real-world implementations and exemplary use cases. This includes grid
generation, data indexing and sampling with DGGRID, and some spatial
analysis with with H3 and rHealPix.


The presentation will be recorded.


Looking forward to this! I think I’ll be in SF that day so this will be great to start the day with.

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Research Object with all the information : DGGS and their potential impact in Geoscience and Geospatial communities. https://doi.org/10.24424/tg01-kv33. Direct link to youtube video

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