Visiting PSTC and S4 for the fall semester, Luc Anselin is one of the best known scholars in the area of spatial statistics for the social sciences. He has been very influential in promoting the use of descriptive measures such as Moran’s I and related indicators of spatial clustering. His work has also illustrated and clarified the distinctions between alternative ways of modeling spatial dependence in multivariate models. He is unique in his ability to communicate clearly with novice users of spatial tools (and his heavy investment in making those tools more readily available through SpaceStat, GeoDa, and PySAL) while at the same time innovating on the frontiers of space-time analysis.
Luc is Regents' Professor and holds the Walter Isard Chair in the School of Geographical Sciences and Urban Planning at Arizona State University, which he created and directed for the past five years. His current research focuses on operationalizing spatial analysis methods in a cyberinfrastructure environment, and on introducing spatial effects in methods for hierarchical models and treatment effects. These efforts are currently funded by NSF and NIH. He is a member of the U.S. National Academy of Sciences and a fellow of the American Academy of Arts and Sciences.
His stay at Brown makes possible opportunities for consultation and collaboration with our faculty and graduate students. At a colloquium on September 13, he gave an overview of software tools that his team at the GeoDa Center has recently developed. Methods covered included OLS and 2SLS with diagnostics for spatial effects, GMM methods for spatial lag and spatial error models, and estimation of spatial regimes. We anticipate that later in the fall he will offer a workshop in spatial methods to cover more advanced topics.
Luc can be found most days on the second floor of PSTC (209 Mencoff Hall), and he can be reached by email at email@example.com.