07-18, 11:00–11:30 (Europe/Sarajevo), CA01
Putting all the data you have into hexagons doesn't necessarily improve the quality of your data, but it does give you a very powerful way of comparing and analyzing your datasets!
In this talk I will present how you can use postgres to turn all your spatial data into hexagons with h3-pg and how you can do lightning fast analysis with the h3 library. On top of that I will explain how you can now use vector comparison on your datasets and how well this all compresses into parquet files for sharing with the rest of the world.
This presentation has lots of small code examples (bash, sql) and pretty pictures.
h3-pg, postgis, (geo)parquet, duckdb
Assign a number between 1 and 3 indicating the level of technical complexity of your contribution. –2 - background knowledge helpful
Select at least one general theme that best defines your proposal –Data access, collection & sharing, Data processing and analysis, Spatial machine learning, Data visualization
I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation – yes
Tom van Tilburg is working as a data scientist in the spatial research lab of Sogelink.