[R-sig-Geo] Tutorial of Analysing Spatial Data in R

[Susumu Tanimura]

Dear all members in R-sig-Geo,

Dr. Roger Bivand, a giant in this mailing list, will have a tutorial
of analysing spatial data in R on June 29 at the Inst. of Statistical
Mathematics, Tokyo, Japan, keeping the same quality of useR!  2006
meeting in Vienna, June 2006
http://www.r-project.org/useR-2006/Tutorials/Bivand.html.

It is in English and free of charge.  Because of the capacity of the
lecture hall, only 60 people are accepted their registration on a
first-come first-served basis. We especially welcome people outside of
Japan.

After the tutorial, we have a workshop of spatial data analysis on June
29-30. 

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                 Tutorial of Analysing Spatial Data in R

Goals:
    The tutorial will introduce the foundation classes for spatial
    data provided in the sp package, and show how they make work with
    spatial data easier. The classes have shared interfaces to common
    file formats for spatial data, and a range of subsetting, plot,
    overlay, and sampling methods.

    The tutorial will let participants needing to import spatial data
    into R, analyse it in one or more packages, display it in
    graphical form, and perhaps export it from R, learn how these
    steps can be made conveniently and robustly. The final section
    will show how the new class structure makes writing custom
    interfaces less challenging, making R analysis functions available
    for a wide range of spatial data formats.
Instructor:
     Dr. Roger Bivand, Department of Economic, Norwegian School
     of Economics and Business Administration
Date:
     June 29, 9:30 - 13:05
Venue:
     The Lecture Hall in the Institute of Statistical Mathematics
     Access: http://www.ism.ac.jp/access/index_e.html
Language:
     English
Capacity:
     60 people
Fee:
     Free
Programme:
     1. Representing spatial data in R (30 minutes)
     2. Vizualising spatial data in R (30 minutes)
     3. Accessing spatial data in R (30 minutes)
     4. break
     5. Worked examples: geostatistics (30 minutes)
     6. Worked examples: disease mapping (30 minutes)
     7. Worked examples: customising spatial data classes (30 minutes)
Registration:
     Those who like to take the tutorial are required to registration
     because of the capacity of the venue.  We accept participants on
     a first-come first-served basis. For the registration, please
     send e-mail to Susumu Tanimura <stanimura-ngs at umin.ac.jp> with
     the subject as "Tutorial of Analysing Spatial Data in R."  This
     contents of the e-mail should include your name, affiliation,
     contact e-mail address.
Organizers:
     Susumu Tanimura <stanimura-ngs at umin.ac.jp>
     Inst. of Tropical Medicine, Nagasaki Univ.
     Junji Nakano <nakanoj at ism.ac.jp>
     Inst. of Statistical Mathematics
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                  Workshop of Spatial Data Analysis
Date:
     June 29-30
Venue:
     The Lecture Hall in the Institute of Statistical Mathematics
     Access: http://www.ism.ac.jp/access/index_e.html
Language:
     English
Fee:
     Free
Program:

June 29 Thu.

   14:25 - 14:30  Opening remarks
   14:30 - 15:30  "Physical Accessibility to Pediatricians in time and
                  space in Nagasaki City" by Susumu Tanimura, Inst. of
                  Tropical Medicine, Nagasaki Univ.
   15:30 - 16:30  "Spatial Data Analysis for Crime Prevention" by
                  Takahito Shimada, National Research Inst. of Police
                  Science
   16:30 - 17:00  Discussion

June 30 Fri.

   10:00 - 11:00  "Error propagation in spatial prediction and other
                  challenges to spatial data analysis" by Roger Bivand,
                  Dept. of Economics, Norwegian School of Economics and
                  Business Administration.
   11:00 - 12:00  "Geostatistical predictions based on data with
                  hierarchical structures" by Masato Sugimoto, Shigeru
                  Mase, and Takayuki Sakaguchi(*), (*) Univ. of Tokyo

                  (lunchtime)

   13:30 - 14:30  "Visualizing Geostatistical Data by Using SVG" by
                  Takafumi Kubota(*), and Tomoyuki Tarumi, (*) Graduate
                  School of Humanities and Social Sciences, Okayama Univ.
   14:30 - 15:30  "Geographical data analysis using CCmaps and a
                  parallel coordinate plot" by Junji Nakano(*),
                  Ikunori Kobayashi and Yoshikazu Yamamoto, (*)
                  Inst. of Statistical Mathematics.
   15:30 - 16:00  Discussion

Organizers:
     Susumu Tanimura <stanimura-ngs at umin.ac.jp>
     Inst. of Tropical Medicine, Nagasaki Univ.
     Junji Nakano <nakanoj at ism.ac.jp>
     Inst. of Statistical Mathematics