Elephant(s) in the room: Graph neural networks, embeddings, and foundation models in spatial data science
Slides: https://jakubnowosad.com/agforum2025
This presentation covered three interconnected deep learning concepts appearing in spatial data science work.
Graph Neural Networks (GNNs) are a deep learning architecture that represents spatial dat…
BH 1.90.0-1 on CRAN: New Upstream
Boost is a very large and comprehensive set of (peer-reviewed) libraries for the C++ programming language, containing well over one hundred individual libraries. The BH package provides a sizeable subset of header-only libraries for (easier, no linking required) use by R. It is fairly widely used: the (partial) CRAN mirror logs (aggregated from the …
Sortir enfin de l’élitisme épuisant?
La revue Risques, no 143
Combining a high-quality probability sample with data from larger online panels
Yajuan Si, James Wagner, and Ron Kessler write: The traditional use of high-quality probability samples to carry out psychiatric epidemiological surveys of the household population is facing increasing financial and operational challenges. Surveys from nonprobability and probability-based online panels have … Continue reading …
Visualise and Analyse Bathymetric Survey Data with R
The first step in the value chain for water utilities is extracting water from natural sources, such as rivers, groundwater, oceans, or reservoirs. Water managers and the public alike are interested in knowing how much water a reservoir currently holds. This is not an easy problem to solve, as it …
Continue reading: <a href=“https://www.r-bloggers.com/2025/12/visualise-and-analyse-bathymetric-survey-data-with …