Hi everyone Instats is excited to offer a 2-day seminar, Advanced R for Spatial Analysis <https://instats.org/seminar/advanced-r-for-spatial-analysis>, running livestreaming Nov 25–26 and led by Dr Nick Bearman from University College London . Designed for researchers who already have a working knowledge of R and spatial data, this intensive workshop shows you how to push your spatial analytics to the next level. After a concise mapping refresher, you’ll dive into spatial joins, buffering, point-in-polygon queries, intersections, polygon overlays, and area-weighted joins, weighing the trade-offs of point versus polygon data while working through a “Future Tram Expansion” case study that ties all techniques together. Whether you’re a PhD student, academic, or applied researcher, Dr Bearman’s practical approach will equip you with the advanced toolkit needed to tackle complex spatial questions with confidence.
Sign up today <https://instats.org//seminar/advanced-r-for-spatial-analysis> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
