The Use of Spatial Analysis to Deepen our Knowledge of Health
David Haynes II, PhD
Institute for Health Informatics
GIS Faculty and Co-Director MPC Diversity Fellowship
University of Minnesota
Spatially adaptive filters is a mapping technique that improves upon and can replace choropleth mapping approaches, especially when mapping health behaviors for small areas. Spatially adaptive filters allow us to accurately describe geographic patterns of disease in rural areas and high-population density neighborhoods. Dr. Hayne’s work applies spatially adaptive filters to estimating breast cancer screening rates for a state government program in Minnesota. He will describe the accuracy limits of spatially adaptive filters and resulting maps when using pre-aggregated versus individual-level data.