- Discuss why temporal data are becoming increasingly part of spatial analyses
- Explain why statistical analyses are important as opposed to merely visualizing patterns
- Discuss benefits and drawbacks of using aggregated vs. point data in spatial analysis
- Describe a couple examples using mobile population data in epidemiologic analyses
Date: May 29, 2014
Jaymie Meliker, PhD
Preventive Medicine at Stony Brook Program in Public Health
Employing techniques of spatial statistical analysis can provide important insights in research studies. In this webinar, Dr. Jaymie Meliker provides a historical perspective on GIS, spatial software tools, and spatial data; describes the importance of space-time data and software; argues why spatial statistical analysis is important; and explains examples of cluster analyses of early and late stage breast cancer, cancer clusters in case-control residential histories, and space-time exposure reconstruction over the life-course.