Data-sets mentioned in the book are available here in text format.
Most of the data is also distributed with the geoR and geoRglm packages for the R project. Note:

• (geoR) indicates the data set is available with the geoR package
• (geoRglm) indicates the data set is available with the geoRglm package
• data() is the command to upload the data from the packages

1. Surface elevation data (geoR: data(elevation))
   • Description: Surface elevation data taken at 52 locations.
   • Source:

     • Davis, J. C. (1972). Statistics and Data Analysis in Geology (Second ed.). New York: Wiley. |

       close [x]  

       @book{davis:1973,
       author = {Davis, J. C.},
       title = {Statistics and Data Analysis in Geology},
       publisher = {Wiley},
       year = {1972},
       address = {New York},
       edition = {Second},
       }

       bibtex
   • dataset
2. Rongelap data (geoRglm: data(rongelap))
   • Description: The radionuclide concentration data set consists of measurements of gamma-ray counts taken at time intervals at 157 locations throughout the Rongelap Island.
   • Source:
   • Rongelap data
   • Island coastline
3. The Gambia malaria data (geoR: data(gambia))
   • Description: Malaria prevalence in children and covariates recorded at villages in The Gambia, Africa.
   • Source:

     • Thomson, M. C., Connor, S. J., D'Alessandro, U., Rowlingson, B. S., Diggle, P. J., Cresswell, M., & Greenwood, B. M. (1999). Predicting malaria infection in {G}ambian children from satellite data and bednet use surveys: the importance of spatial correlation in the interpretation of results. American Journal of Tropical Medicine and Hygiene, 61, 2-8. |

       close [x]  

       @article{thomson+etal:1999,
       author = {Thomson, M. C. and Connor, S. J. and D'Alessandro, U. and Rowlingson, B. S. and Diggle, P. J. and Cresswell, M. and Greenwood, B. M.},
       title = {Predicting malaria infection in {G}ambian children from satellite data and bednet use surveys: the importance of spatial correlation in the interpretation of results},
       journal = {American Journal of Tropical Medicine and Hygiene},
       year = {1999},
       optkey = {},
       volume = {61},
       optnumber = {},
       pages = {2--8},
       optmonth = {},
       optnote = {},
       optannote = {{},
       }

       bibtex
   • The Gambia malaria data
   • country borders
4. Soil data (calcium and magnesium contents) (geoR: data(camg), data(ca20))
   • Description: Calcium and magnesium contents in soil samples at the 0-20cm and 20-40 soil layers
   • Source:

     • et. al. Capeche, C. L. (1997). Caracterização pedológica da fazenda Angra - PESAGRO/RIO - Estação experimental de Campos (RJ). In Informação, globalização, uso do solo, Rio de Janeiro. |

       close [x]  

       @inproceedings{capeche+macedo+manzatto+silva:1997,
       author = {Capeche, C. L. et. al.},
       title = {Caracterização pedológica da fazenda Angra - PESAGRO/RIO - Estação experimental de Campos (RJ)},
       booktitle = {Informação, globalização, uso do solo},
       year = {1997},
       volume = {26},
       address = {Rio de Janeiro},
       organization = {Congresso Brasileiro de Ciência do Solo},
       }

       bibtex
   • dataset
   • border of the study area
   • border of sub-area 1
   • border of sub-area 2
   • border of sub-area 3
5. Paraná rainfall data (geoR: data(parana))
   • Description: Average rainfall for the period May-June (dry-season) over different years collected at 143 recording stations throughout Parana State, Brasil.
   • Source: Recording stations at Parana State, Brasil from the institutions: COPEL, IAPAR,DNAEE, SUREHMA and INEMET.
   • Paraná Rainfall data
   • Borders of Paraná State
6. Swiss rainfall data (geoR: data(SIC))
   • Description: Data from SIC-1997 (Spatial Interpolation Comparison). See here for detailed description.
   • Source: AI-Geostats
   • all data
   • the 100 data-set
   • the 367 data-set
   • Swiss borders
7. Loa Loa data
   • Description: Loa loa prevalence data from 197 village surveys
   • Source:

     • DIGGLE, P. J., THOMSON, M. C., CHRISTENSEN, O. F., ROWLINGSON, B., OBSOMER, V., & GARDON, J., et al. (2007). Spatial modelling and prediction of Loa loa risk: decision making under uncertainty. Annals of Tropical Medicine and Parasitology, (to appear). |

       close [x]  

       @article{diggle+etal:2004,
       author = {DIGGLE, P.J. and THOMSON, M.C. and CHRISTENSEN, O.F. and ROWLINGSON, B. and OBSOMER, V. and GARDON, J. and WANJI, S. and TAKOUGANG, I. and ENYONG, P. and KAMGNO, J. and REMME, H. and BOUSSINESQ, M. and MOLYNEUX, D.H.},
       title = {Spatial modelling and prediction of Loa loa risk: decision making under uncertainty},
       journal = {Annals of Tropical Medicine and Parasitology},
       year = {2007},
       volume = {(to appear)},
       }

       bibtex
   • Loa Loa data
   • File description: columns are:
     • longitude (degrees)
     • latitude (degrees)
     • number of people tested
     • number of positives
     • elevation (metres)
     • maximum NDVI during 1999-2001 (index with range 0 to 1)
     • standard deviation of NDVI during 1999-2001
     • Note: max and std dev are calculated from repeated satellite passes over the three years.

1. Kateggat basin data
   • Description: Salinity data in the Kattegat basin
   • Source: National Environmental Research Institute, Århus University, Denmark and the Swedish Meteorological and Hydrological Institute.
   • Kattegat salinity data
   • Borders and islands given in 12 files below or all files zipped together.
     1. dk01.txt
     2. dk02.txt
     3. dk03.txt
     4. dk04.txt
     5. dk05.txt
     6. dk06.txt
     7. dk07.txt
     8. dk08.txt
     9. dk09.txt
     10. dk10.txt
     11. dk11.txt
     12. dk12.txt