Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)

The Geospatial, Epidemiology and Outcomes Shared Resource catalyzes innovative translational and population-based cancer research, with an emphasis on cancer disparities.

Scheduling, Location, and Hours of Operation

Virtual | Monday–Friday from 8 a.m.-5 p.m.
For support, please email
Submit a GEO iLab request


GEO provides access to integrated translational, clinical and population data; cancer epidemiology and database expertise; information on the cancer burden in the catchment area, and geospatial mapping and analysis.
Geospatial Data Technology and Analysis
  • Innovative geospatial metrics
  • Spatial data acquisition, preparation and management
  • Cartography, mapping, data visualization
  • Geocoding, distance estimation and routing
  • Geographic access estimation
  • Disease mapping
  • Spatial pattern and cluster analysis
  • Modeling, e.g., spatial and clustered data
  • Small area estimation
  • Advanced computing and modeling
  • Web-based mapping
  • GPS data collection and analysis

Epidemiological Information about the Catchment Area
  • Cancer burden data for grant applications
  • Basic epidemiologic summaries (Froedtert-MCW, Southeastern WI, Catchment Area, WI, US)
  • Cancer maps (Catchment Area, WI)
  • Website (cancer maps, public data, related sites)
Cancer Outcomes Data and Analysis
  • Database acquisition and licensing agreements
  • Database repository and maintenance
  • Database cleaning
  • Data manipulation; linkage and variable creation
  • Preparation of analytic datasets and dictionaries
  • Data analyses
  • Computer and statistical programming (e.g., R, Python)
  • Data integration, pipelining, storage, and security
  • ICDR access and data analytics
  • NIH compliant Data Management Plans

Geospatial Data Resources

GEOSR ensures that Cancer Center members are equipped with the clinical and population data necessary to identify and address gaps in cancer-related research and services to the Catchment Area.
Froedtert/MCW Health System



Kirsten Beyer, PhD, MPH, MS

Co-Director, Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)


Anai Kothari, MD, MS

Co-Director, Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)


Tina Yen, MD, MS, FACS, FSSO

Co-Director, Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)

Sample Illustration: Wisconsin Lung Cancer Incidence, 2010-2015

Using data from the Wisconsin Cancer Reporting System, members of the GEOSR team discovered lung cancer incidence rate is indirectly age-sex standardized and smoothed using adaptive spatial filtering.

Red areas on the map indicate higher rates than expected and blue areas indicate lower rates than expected, given the regional rate. Areas without color exhibit rates close to the regional rate.

The “Percent Minority” layer displays the percent of people who identify as a minority in each Census Tract. This is layer is only visible at a higher Zoom level. Different layers can be selected and overlapped to observe patterns.

Data was obtained from the American Cancer Society (ACS) 2012-2016 estimates and EJScreen: Environmental Justice Screening and Mapping Tool maintained by the Environmental Protection Agency.