National Cancer Institute   U.S. National Institutes of Healthwww.cancer.gov
GIS Geographic Information Systems
Search:   
HomeContact UsGIS Special Interest Group
 
National Cancer Institute GIS

GIS Research & Applications | GIS Database Development | Spatial Data Analysis | Geovisualization Tools Development | Communication of Georeferenced Statistics

Geovisualization Tools Development

As part of a broader program of data visualization research, NCI staff and their collaborators have developed a number of methods to better communicate cancer statistics visually, such as by maps and new graph designs. Examples of work in this area are:

  1. Weighted Nonparametric Smoothing (Headbanging)
  2. Tools implemented as ArcGIS Extensions
  3. Conditioned choropleth maps
  4. Linked micromap plot
  5. Combining statistical clustering algorithms with new visualization tools

Weighted Nonparametric Smoothing (Headbanging)

"Head-banging" is a weighted two-dimensional median-based smoothing algorithm, developed to reveal underlying geographic patterns in data where the values to be smoothed do not have equal variances. The Head-Bang software helps users apply this algorithm to data.

Proportion of residents with no health insurance
CDC Behavioral Risk Factor Surveillance System
Original data Smoothed data
Two US maps show the relative proportion of residents without health insurance. The original data contains many small regions; after head-bang smoothing is applied, regions are larger and more broadly defined.
Data: Pickle & Su, American Journal of Preventive Medicine, 2002
Headbanging: Mungiole et al., Statistics in Medicine, 1999

Tools implemented as ArcGIS Extensions

Headbang smoothing:
(download HeadBang for ArcMap™)

A screenshot of the Head-Bang extension for ArcGIS

SaTScan clustering:
(download Cluster Analysis extension)

A screenshot of the SaTScan extension for ArcGIS
Utility to format SEER*Stat data for mapping:
(download SEER*Stat Bridge)

A screenshot of the ArcGIS extension to format SEER*Stat data for mapping


Color choices:
(visit ColorBrewer)
(download ColorTool extension)

A screenshot of the ColorTool extension for ArcGIS

Conditioned choropleth maps

  • Decomposes a single choropleth map into strata according to 1 or 2 other factors
  • Interactive tool -- users control classifications of mapped variable (red/gray/blue) & stratifiers by sliders

Conditioned chloropleth maps[D]
Carr, Wallin, and Carr, Statistics in Medicine 2000

Linked micromap plot

  • Color links statistical graphs & maps
  • Micromaps show spatial patterns
  • Supports different glyphs & sorting

Sample linked micromap plot of white female cancer mortality rates from 1970 - 1994. Color-coding matches each US state to its rate.
Carr, Wallin, and Carr, Statistics in Medicine 2000

Combining Statistical Clustering Algorithms with New Visualization Tools

Screenshot of the Exploratory Spatio-Temporal Analysis Tool Exploratory Spatio-Temporal Analysis Tool (ESTAT):

  • Time trend plots of cancer rates
  • Parallel coordinate plot of risk factors, confounders
  • Scatter plots, maps
  • Statistical summaries
  • Supports linking, brushing, variable & option selection


Screenshot of a time-series plot in the Exploratory Spatio-Temporal Analysis Tool

Screenshot of a parallel coordinate plot in the Exploratory Spatio-Temporal Analysis Tool

Alan MacEachren, Penn State University (www.geovista.psu.edu)

GIS Research & Applications | GIS Database Development | Spatial Data Analysis | Geovisualization Tools Development | Communication of Georeferenced Statistics