Methodology
Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation
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Correspondence: Pierre Goovaerts goovaerts@biomedware.com
BioMedware, Inc., Ann Arbor, MI, USA
International Journal of Health Geographics 2006, 5:7 doi:10.1186/1476-072X-5-7
Published: 9 February 2006Additional files
Additional File 1:
Input data file for poisson_kriging.exe. This dataset follows the Geo-EAS format and includes, for 295 counties of New England, the following information: FIPS code, spatial coordinates of the county geographic centroid, age-adjusted pancreatic cancer mortality rate per 100,000 person-years, and the population at risk for the 1970–1994 period.
Format: DAT Size: 16KB Download file
Additional File 2:
Input parameter file for poisson_kriging.exe. This text file includes all the variables and names of input/output files required by the program, as well as the parameters for semivariogram modelling and Poisson kriging.
Format: PAR Size: 1KB Download file
Additional File 3:
Executable to generate realizations of the spatial distribution of risk values using p-field simulation.
Format: EXE Size: 716KB Download file
Additional File 4:
Input parameter file for pfield.exe. This text file includes all the variables and names of input/output files required by the program, as well as the parameters for the simulation procedure.
Format: PAR Size: 1KB Download file
Additional File 5:
Animated display of 200 realizations of the spatial distribution of mortality risk values for pancreatic cancer.
Format: ZIP Size: 2.6MB Download file
Additional File 6:
Animated display of 200 realizations of the local cluster analysis of mortality risk values for pancreatic cancer.
Format: ZIP Size: 2.2MB Download file