A world still to be mapped: reflections on geocomputation in R: takeaways from the talk and workshop at UseR! 2026
Read OriginalThis article summarizes the author's contributions to the UseR! 2026 conference in Warsaw, including a workshop on Geocomputation with R and a keynote on the state of geocomputation in R. The workshop, based on the second edition of 'Geocomputation with R', covered vector data with sf, raster data with terra, and spatial visualization with tmap. The keynote reflected on the evolution of R's spatial ecosystem, highlighting its strengths in scientific rigor, reproducibility, and visualization, while addressing non-technical challenges like weak validation practices and misleading maps. The author emphasizes that future progress depends on community as much as code, discussing topics like prediction-domain adaptive evaluation in spatial machine learning and proper color palette and projection choices. This article is relevant to IT/technology as it focuses on programming, software development, and technical best practices in geocomputation.
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