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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 admin Mon, 09/17/2018 - 23:16

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).

2 days
Machine Learning for spatial data admin Mon, 09/17/2018 - 23:02

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

3 days
Spatial and Spatiotemporal Classes and Methods in R admin Wed, 03/29/2017 - 09:47

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

1 week

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