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e-Workshop: Spatial analysis in ‘R’
Winter/Spring 2009
The series used WUN’s Marratech™ desk top collaborative environment and consisted of six workshop sessions that collectively provided a course in the use of R for spatial problems. We started with a general talk on how R helps in teaching and research, followed by its use to compute relatively simple spatial statistics. If you are already skilled in using R, please be patient during these introductions. They were followed by ones on the more advanced use of R for spatial problems, more sophisticated analysis, spatial statistics, advanced visualization and, finally, spatial epidemiology and disease mapping.
Pre-requisites
In each case familiarity with standard computing environments is assumed as is a willingness to work between sessions and familiarity with basic statistical analysis of spatial data. Familiarity with basic concepts of programming is also an advantage, as is an up-to-date knowledge of methods of spatial statistical analysis. To replay the seminars for which we have recordings, you will need to have downloaded, installed, and experimented with the Marratech™ client used.
Objectives
After completing the workshop, you will be able to
- Drive basic statistical analysis using R commands;
- Use contributed R packages to run more complex spatial analyses;
- Visualize geographic data using appropriate tools;
- Develop R code to perform your own analysis as necessary.
There is a guide to using the Marratech™ environment at: http://www.wun.ac.uk/ggisa/documents/pdfs/Seminar_user_guide.pdf
Timings & Schedule
The sessions were every two weeks as
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