Log on / register
BioMed Central home | Journals A-Z | Feedback | Support | My details
Open AccessMethodology

Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation

Pierre Goovaerts email

BioMedware, Inc., Ann Arbor, MI, USA

author email corresponding author email

International Journal of Health Geographics 2006, 5:7doi:10.1186/1476-072X-5-7

Published: 9 February 2006

Additional 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: 2.3MB Download file


© 1999-2008 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.