TerraSeer announces its 2004 Spatial and Temporal Data Analysis Training Series.
Learn from experts how to extract knowledge and make better decisions with Space-Time data. Drs. Pierre Goovaerts, Dunrie Greiling and Geoffrey Jacquez will conduct an expanded schedule of training in Space-Time analysis and use of TerraSeer software.
These courses are recommended for researchers and analysts in a range of disciplines who routinely encounter data that occur in geographic space and time; including economics, environmental sciences, marketing, epidemiology, natural resources, public health, urban planning and veterinary sciences. Course tuition includes full licenses of the TerraSeer software: attend the training, take home the software. All courses will take place in Ann Arbor, Michigan.
Coming up in June
June 1-2, Visualization and Analysis of Space-Time Data This two day course offers an overview of techniques for the visualization and exploration of spatio-temporal pattern in geographic and temporal data. The course is aimed at those interested in going beyond current GIS to space-time datasets and exploration. Only basic knowledge of GIS is assumed. The emphasis is on interpreting data effectively in a highly visual and interactive software environment based on dynamically linked windows, TerraSeer's new Space-Time Intelligence System (STIS). This is accomplished by stressing hands-on analysis of sample data sets. The fee for the course includes a permanent license of TerraSeer's STIS software.
June 3-4, Advanced Visualization and Analysis of Space-Time Data Led by Dr. Geoffrey Jacquez and Dr. Dunrie Greiling This two day course builds on the visualization skills and techniques learned in the first course on space-time analysis, but adds quantification and spatio-temporal statistical analysis. Attendees can bring their own data or build a project in collaboration with other students or example datasets.
The course covers methods to map and identify outliers, global and local measures of spatial autocorrelation (Moran's I, Anselin's Local Moran) and their extensions to space-time data.
June 22-23, Introduction to Disease Cluster Analysis and Spatial Epidemiology using ClusterSeer Led by Dr. Geoffrey Jacquez This two day course offers an overview of techniques for the analysis of disease patterns and health outcomes in space, time and space-time using ClusterSeer software. The course is aimed at public health professionals and other researchers and analysts interested in extending the use of a GIS beyond mapping towards the identification and visualization of clusters of events. Particularly relevant applications are the study of data on crime and public health statistics. Only basic knowledge of GIS and probability is assumed.
The course reviews methods to identify temporal, spatial and space-time clusters of health events for both point- (e.g. residential address) and area-based data (e.g. disease rates and frequencies). The emphasis is on the effective and appropriate use of the techniques to accurately identify whether there is a statistically significant excess of events.
June 24-25, Introduction to Boundary Analysis using BoundarySeer Led by Dr. Geoffrey Jacquez and Dr. Dunrie Greiling This two day course offers an overview of techniques for boundary analysis using BoundarySeer software. The course is aimed at researchers and analysts interested in extending the use of a GIS beyond mapping towards the identification and visualization of boundaries. Particularly relevant applications are the study of data on environment, crime, demographics, and public health statistics. Only basic knowledge of GIS and probability is assumed.
For information on course content, cost, the complete annual schedule, or to register, visit www.terraseer.com, email
This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
or call 815.356.7184. Sessions are limited to 30 participants
See more 
