Hi everyone
Instats is excited to offer a 1-day seminar, Spatial Statistics in R <https://instats.org/seminar/spatial-statistics-in-r>, livestreaming December 2 and led by Dr Nick Bearman from UCK. As spatially referenced data becomes central to research across the social, environmental, and health sciences, mastering spatial statistics is essential for revealing patterns and relationships that conventional methods miss. In this immersive workshop you will learn how to move seamlessly between GeoDa?s intuitive exploratory tools and R?s powerful scripting environment, gaining the skills to import, visualise, and interrogate geographic datasets; diagnose and interpret spatial autocorrelation; calculate Moran?s I; run Local Indicators of Spatial Autocorrelation (LISA); and perform spatial regression analyses that account for clustering effects. Dr Bearman?s approachable teaching style blends clear conceptual explanations with live coding and interactive demonstrations, ensuring you leave with reproducible R scripts, practical know-how, and a deeper understanding of how spatial processes shape your data. The event forms part of Instats? three-seminar GIS in R course series <https://instats.org/course/gis-in-r-a-full-course2>; enrol in the full sequence to receive a 10 % discount while progressing from introductory to advanced spatial methods. Join us on December 2 and elevate your analysis with state-of-the-art spatial statistics.
Sign up today <https://instats.org//seminar/spatial-statistics-in-r> 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