SSES
Research
Preprints
Teaching
Intro Spatial
Spatial
Environmental
DISES
GSDA
Web-Projects
Events
People
Archive
Links
THE SSES PROGRAM
Teaching


The SSES Program coordinates courses in both Spatial Statistics (at the PhD and Masters levels) and Environmental Statistics (at the Masters level) through the Department of Statistics.

Introduction to Spatial Statistics (3-credit MS-level course): Stat 631
Stat 631 will be taught next in the Spring 2013 quarter. The lectures present an introduction to statistical methods for geostatistical data, regional data, and spatial point patterns. Theoretical properties are illustrated with simulation, and applications are emphasized in take-home tutorials.

Spatial Statistics (3-credit PhD-level course): Stat 829
Stat 829 is taught every other Spring quarter (taught next in the Spring 2012 quarter). The lectures present topics that include exploratory spatial data analysis, (multivariate) spatial prediction, spatial hierarchical modeling (empirical-Bayesian and fully Bayesian), and the incorporation of a temporal component in spatial models.

Environmental Statistics (3-credit MS-level course): Stat 662
Stat 662 is taught every other Spring quarter (taught next in the Spring 2012 quarter). The lectures present topics that include standard statistics used in environmental settings, sampling design, causality, limits of detection, toxicology, risk analysis, time series, spatial statistics, and hierarchical modeling.

Discussions In Spatial and Environmental Statistics (DISES)
The SSES Program organizes DISES on an occasional basis. It consists of Brown Bag Seminars and of quarter-long discussion groups in spatial, spatio-temporal, or environmental statistics. If you would like more information, please go to SSES Events or e-mail us at sses@stat.osu.edu.

Graduate Interdisciplinary Specialization in GSDA
A Graduate Interdisciplinary Specialization in Geospatial Data and Analysis (GSDA) is being offered by the Departments of Geography and Statistics.