This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anselin L (1995) Local indicators of spatial association — LISA. Geographical Analysis 27: 93–115
Anselin L, Syabri I, Kho Y (2004) GeoDa: An Introduction to Spatial Data Analysis. Spatial Analysis Laboratory (SAL). Department of Agricultural and Consumer Economics, University of Illinois, Champaigne-Urbana, IL
Assunçao RM, Reis EA (1999) A new proposal to adjust Moran’s I for population density. Statistics in Medicine 18:2147–2162
Cressie N (1993) Statistics for Spatial Data. Wiley, New York
Goovaerts P (1997) Geostatistics for Natural Resources Evaluation. Oxford University Press New York
Goovaerts P, Jacquez GM (2004) Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York. International Journal of Health Geographics 3:14
Goovaerts P (2005) Simulation-based assessment of a geostatistical approach for estimation and mapping of the risk of cancer. In: Leuangthong O and Deutsch CV (eds) Geostatistics Banff 2004. Kluwer Academic Publishers, Dordrecht, The Netherlands, in review
Goovaerts P, Jacquez GM, Greiling DA (2005) Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms. Geographical Analysis, 37, in press
Gotway CA, Young LJ (2002) Combining incompatible spatial data. Journal of the American Statistical Association 97:632–648
Jacquez GM, Greiling DA (2003a) Local clustering in breast, lung and colorectal cancer in Long Island, New York. International Journal of Health Geographics 2:3
Jacquez GM, Greiling DA (2003b) Geographic boundaries in breast, lung and colorectal cancer in relation to exposure to air toxics in Long Island, New York. International Journal of Health Geographics 2:4
Oliver MA, Webster R, Lajaunie C, Muir KR, Parkes SE, Cameron AH, Stevens MCG, Mann JR (1998) Binomial cokriging for estimating and mapping the risk of childhood cancer. IMA Journal of Mathematics Applied in Medicine and Biology 15:279–297
Ord JK, Getis A (2001) Testing for local spatial autocorrelation in the presence of global autocorrelation. Journal of Regional Science 41: 411–432
Rivoirard J. et al. (2000) Geostatistics for Estimating Fish Abundance. Blackwell Science, Oxford
Waller LA, Gotway CA (2004) Applied Spatial Statistics for Public Health Data. John Wiley and Sons, New Jersey
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goovaerts, P. (2005). Detection of spatial clusters and outliers in cancer rates using geostatistical filters and spatial neutral models. In: Geostatistics for Environmental Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26535-X_13
Download citation
DOI: https://doi.org/10.1007/3-540-26535-X_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26533-7
Online ISBN: 978-3-540-26535-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)