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We are a non-for-profit independent research foundation promoting Open Source and Open Data solutions. We are especially good at using Machine Learning and Geo-computations for Global Good, designing land restoration, and enabling and accelerating organizations in producing and sharing of analysis-ready & decision-ready data.

Recent Posts

Geo-harmonizer project: making new seamless spatial layers for the continental EU

OpenGeoHub has started in 2019 an Innovation and Networks Executive Agency (INEA) co-funded project called "Geo-harmonizer: EU-wide automated mappi

MOOD - MOnitoring Outbreak events for Disease surveillance in a data science context

OpenGeoHub is proud to be part of the international consortium on the H2020 project MOnitoring Outbreak events for Disease surveillance in a data s

OpenLandMap: using Machine Learning for global good

At OpenGeoHub and EnvirometriX, we recognize that machine learning, combined with AI, is a game-changer for both science and business.

Geocomputation with R book

Geocomputation with R, a forthcoming book with CRC Press (authored by Robin Lovelace, Jakub Nowosad, Jannes Muenchow) will be officially launched d

Popular Courses

Visualization of spatial and spatiotemporal data

2 days

To be able to use spatial data and make decisions based on it, we need to be able to visualize it (statically, interactively, through web etc).

Machine Learning for spatial data

3 days

Machine Learning Algorithms are increasingly interesting for analyzing spatial data, especially to derive spatial predictions / for spatial interpolation and to detect spatial patterns. Spatial aut

Spatial and Spatiotemporal Classes and Methods in R

1 week

Several R packages exists that allows loading spatial and spatiotemporal data and which provide structures, validity control and functions.

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