1 citations · 1 across the 2 of their papers we have counts for
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stat.CO2025★ 1 cited
Spatial Data Science Languages: commonalities and needs
Edzer Pebesma, Martin Fleischmann, Josiah Parry +8
Recent workshops brought together several developers, educators and users of software packages extending popular languages for spatial data handling, with a primary focus on R, Pyt…
stat.CO2020
Spatiotemporal Multi-Resolution Approximations for Analyzing Global Environmental Data
Marius Appel, Edzer Pebesma
Technological developments and open data policies have made large, global environmental datasets accessible to everyone. For analysing such datasets, including spatiotemporal corre…
stat.CO2018
Measurement Errors in R
Iñaki Ucar, Edzer Pebesma, Arturo Azcorra
This paper presents an R package to handle and represent measurements with errors in a very simple way. We briefly introduce the main concepts of metrology and propagation of uncer…