Recent Posts
Call for manuscripts
Technological and Methodological Advances in Measuring, Mapping and Monitoring Soil
Geocomputation with R, a forthcoming book with CRC Press (authored by Robin Lovelace, Jakub Nowosad, Jannes Muenchow) will be officially launched d
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatia
One of the key missions of the OpenGeoHub is to promote creation and use of Open Data.
I came to know Roger around the year 2000, through emails he posted to ai-geostats, an email list started by Gregoire Dubois from JRC, wh
Visualization of spatial and spatiotemporal data
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
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
Several R packages exists that allows loading spatial and spatiotemporal data and which provide structures, validity control and functions.
The 2019 Summer School on spatial and spatiotemporal computing: proce
Roger is a professor at the Norwegian School of Economics. His specialties are
Hanna is a junior researcher at Marburg University with a PhD in physical Geography / environmental informatics.
Veronica Andreo is a researcher at the National Institute of Tropical Medicine INMeT, Argentina.
Tim is a researcher / developer at GfK Geomarketing, Germany.