In today's #GeoMob in Lisbon my introduction to Discrete Global Grid Systems was elected as best presentation.

I am grateful to the organisers and the participants. But this wouldnt have happened without the work from those that for over thirty years have been pushing #DGGS ever closer to the end user. I stand on the shoulders of giants.

The prize was a fine copy of this historical map, "Portugal laying down", in which West is up.

@geomob

Justus made a great intro on using #DGGS through #xarray #xdggs at the #Pangeo showcase talk. Xdggs is now in a stage where you can use it fairly robustly with #HEALPIX and #H3. Other integrations like for #DGGRID are developed as separate plugins.

https://youtube.com/watch?v=bAMGFKsxsjs&si=hnfpk04VMn-rggEV

Great new paper in #BigEarthData on #DGGS practical application on #landuse mapping at #ManaakiWhenua #LandcareResearch New Zealand. While they used #H3 due to available tooling they described the generalisable methodology really well.
https://www.tandfonline.com/doi/full/10.1080/20964471.2024.2429847 #geospatial #gis

I did a thing - jumping the bandwagon and kicking off an #awesome collection for #DGGS #grids #geospatial https://github.com/LandscapeGeoinformatics/awesome-discrete-global-grid-systems #gis #ocg #dggrid #healpix #isea #hex

Advancing Digital Earth Modeling - Hexagonal Multi-Structural Elements In Icosahedral DGGS For Enhanced Geospatial Data Processing
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https://doi.org/10.1016/j.envsoft.2023.105922 <-- shared paper
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https://en.wikipedia.org/wiki/Discrete_global_grid <-- DGD wiki page
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[the math is way over my head, hence the wiki page leak, but a good read nonetheless]
“HIGHLIGHTS:
• Hexagonal multi-structural elements enhance Earth's surface modeling precision.
• Integration of indexing and conversion rules improves geospatial data computation.
• DGGRID implementation shows increased precision in raster and vector data modeling.
• Addresses limitations in existing software for Earth observation data.
• Pioneering approach expands geospatial data processing applications…"
#GIS #spatial #mapping #DiscreteGlobalGrid #DGG #DGGS #indexing #conversion #rules #computation #Hexagonal #DGGRID #raster #vector #data #model #modeling #earthobservation #remotesensing #grid #vertices #edges #icosahedral #projections #coordinates #representation

Release v0.2.6 of #dggrid4py adds functionality to split cells along the 180º meridian. This allows purely Cartesian programmes like #QGis to portray a #DGGS.

Still a brute force approach, needs an heuristic to limit down the set of cells tested.

https://github.com/allixender/dggrid4py/releases/tag/v0.2.6

These days I have been addressing cases like this. A #DGGS cell that crosses the 180° meridian. None of the #FOSS4G software I use is able to interpret it correctly. Long way to go for modern #GIS.