• Homepage
• Figures
  • Chapter 1
    • Figure 1.1
    • Figure 1.2
    • Figure 1.3
  • Chapter 2
    • Figure 2.1
    • Figure 2.2
    • Figure 2.3
    • Figure 2.4
    • Figure 2.5
    • Figure 2.6
    • Figure 2.7
    • Figure 2.8
  • Chapter 3
    • Figure 3.1
    • Figure 3.2
    • Figure 3.3
    • Figure 3.4
    • Figure 3.5
    • Figure 3.6
    • Figure 3.7
    • Figure 3.8
    • Figure 3.9
    • Figure 3.10
    • Figure 3.11
    • Figure 3.12
    • Figure 3.13
    • Figure 3.14
    • Figure 3.15
  • Chapter 4
    • Figure 4.1
    • Figure 4.2
    • Figure 4.3
    • Figure 4.4
    • Figure 4.5
    • Figure 4.6
    • Figure 4.7
    • Figure 4.8
  • Chapter 5
    • Figure 5.1
    • Figure 5.2
    • Figure 5.3
    • Figure 5.4
    • Figure 5.5
  • Chapter 6
    • Figure 6.1
    • Figure 6.2
    • Figure 6.3
  • Chapter 7
    • Figure 7.1
    • Figure 7.2
    • Figure 7.3
    • Figure 7.4
    • Figure 7.5
    • Figure 7.6
    • Figure 7.7
    • Figure 7.8
    • Figure 7.9
    • Figure 7.10
    • Figure 7.11
    • Figure 7.12
    • Figure 7.13
  • Chapter 8
    • Figure 8.1
    • Figure 8.2
    • Figure 8.3
    • Figure 8.4
    • Figure 8.5
    • Figure 8.6
    • Figure 8.7
    • Figure 8.8
    • Figure 8.9
    • Figure 8.10
    • Figure 8.11
    • Figure 8.12
    • Figure 8.13
    • Figure 8.14
    • Figure 8.15
    • Figure 8.16
  • Chapter 9
    • Figure 9.1
    • Figure 9.2
    • Figure 9.3
    • Figure 9.4
    • Figure 9.5
    • Figure 9.6
    • Figure 9.7
    • Figure 9.8
    • Figure 9.9
    • Figure 9.10
    • Figure 9.11
    • Figure 9.12
    • Figure 9.13
    • Figure 9.14
    • Figure 9.15
  • Chapter 10
    • Figure 10.1
    • Figure 10.2
    • Figure 10.3
    • Figure 10.4
    • Figure 10.5
    • Figure 10.6
    • Figure 10.7
    • Figure 10.8
  • Chapter 11
    • Figure 11.1
    • Figure 11.2
    • Figure 11.3
    • Figure 11.4
    • Figure 11.5
    • Figure 11.6
    • Figure 11.7
    • Figure 11.8
    • Figure 11.9
    • Figure 11.10
    • Figure 11.11
    • Figure 11.12
    • Figure 11.13
    • Figure 11.14
    • Figure 11.15
    • Figure 11.16
    • Figure 11.17
    • Figure 11.18
• Code download
  • Chapter 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
  • Chapter 11
• Data Sets download
  • Auckland SRTM
  • Auckland shoreline
  • Biological cell centres
  • Broad Street GRASS location
  • Broad Street files
  • California redwood trees
  • Cars
  • CRAN mirrors
  • Japan shoreline
  • Japanese black pine saplings
  • Lansing Woods maple trees
  • Loggerhead turtle
  • Manitoulin Island
  • Maunga Whau volcano
  • Meuse bank
  • New York leukemia
  • North Carolina SIDS
  • North Derbyshire asthma
  • Scottish lip cancer
  • Spearfish
  • US 1999 SAT scores
  • US Census 1990 Counties
  • World volcano locations
• Additional materials
  • Courses
  • GRASS (1): Ch. 4
  • GRASS (2): Ch. 4
  • GRASS: Ch. 9
  • ArcGIS: Ch. 9
  • WinBUGS: Ch. 11
• Errata
  • All errata
  • Preface
  • Chapter 1
  • Part 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Part 2
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
  • Chapter 11
  • Afterword
  • References
  • Subject Index
  • Functions Index

Training events

At the moment, a comprehensive set of initial training materials can be found here. Some of the events below may provide links to other course materials, but this is by no means guaranteed.

Past events

• World Universities Network Global GIS Academy virtual seminar: Spatial analysis in 'R', Winter/Spring 2009. Six e-seminars with presentations, question logs, demonstration data, and video for playback on a downloadable Marratech client.
• Open Source Geospatial Software. An introductory masterclass. Lancaster University. 17-18 November 2008.
• Spatial Filtering 2008 Workshop. The University of Texas at Dallas. Summer 2008.
• One-day introductory course on Spatial Data Analysis with the R Programming Language. Faculty of Medicine, Imperial College London. 31 August 2007