[R-sig-Geo] [Fwd: One-day introductory course on spatial data analysis with the R programming language]

[Virgilio Gomez-Rubio]

Dear all,

Apologies for this off-topic, but I thought this one-day course could be
of interest to the subscribers of this list. Please, reply to me and not
to the list if you are interested.

Best regards,

Virgilio

-------- Forwarded Message --------
Subject: One-day introductory course on spatial data analysis with the R
programming language
Date: Wed, 11 Jul 2007 18:23:36 +0100

ONE-DAY INTRODUCTORY COURSE ON SPATIAL DATA ANALYSIS WITH THE R
PROGRAMMING LANGUAGE

Faculty of Medicine 
Imperial College London 
St. Mary's Campus, London


9:00 - 17:00, 31 August 2007


*) Course outline

This one-day introductory course is aimed at researchers which have to
deal with the analysis of spatial data. The course will tackle  the
problem of analysing spatial data with the R programming language.
Different types of spatial data will be covered, such as point patterns,
lattice data and data coming from irregular measurements of continuos
processes (geostatistics). In addition, different worked examples will
be presented showing how to proceed with the analysis of a wide range of
spatial data sets.

The topics of the course will contain an introduction to various R
packages for the analysis of spatial data.  This includes data
import/export, data management and visualisation, and how to fit a broad
range of models for spatial data.  The worked examples will focus on
particular real data sets from Epidemiology, Environmental Sciences,
Ecology, Economics and others. 

Although most of the lectures will include live demonstrations of the
software, a working knowledge of the R software is desirable to follow
the examples. R is distributed as free software, and it can be
downloaded from http://cran.r-project.org .  Similarly, the course will
introduce the statistical concepts behind the analysis, but a basic
knowledge of statistics and regression analysis will be necessary.

The course will take place in the Hynds Computer Lab of the Faculty of
Medicine and the participants will be able to use these facilities. Note
that the course will take at the facilities of the Faculty of Medicine,
Imperial College London at St. Mary's Campus, and NOT at the main campus
in South Kensington.

The complete address is 

Faculty of Medicine
Imperial College London
St. Mary's Campus, Norfolk Place
W2 1PG London - UK

More information on how to arrive can be found at 

http://www1.imperial.ac.uk/medicine/contacts/campuses/stmarys/


This course is part of the ESRC National Centre for Research Methods
training activities and there are discount fees for ESRC-funded
researchers.



*) Summary of course contents

- Why spatial data in R? (0930-1000)
- Representing Spatial Data (1000-1030)
- Vizualising Spatial Data (1045-1115)
- Accessing spatial data (1115-1200)
- Worked example: Geostatistics (1400-1430)
- Worked example: Point Patterns (1430-1500)
- Worked example: Spatial Weights, Autocorrelation (1500-1530)
- Worked examples: Disease Mapping (1545-1615)
- Worked examples: Disease Mapping II (1615-1645)
- Worked example: Small Area Estimation (1645-1715)




*) Summary of course instructors

Prof. Roger Bivand, Norwegian School of Economics and Business
Administration
Dr. Virgilio Gómez-Rubio (course organiser), Imperial College London



*) Booking and course fees

Fees for the course are as follows: 

£20 or postgraduate students registered at UK academic institutions

£40 for staff at UK academic institutions, ESRC-funded researchers and
researchers from charity organisations 

£175 for all other participants

This includes the course materials, refreshment and a buffet lunch. In
order to book a place for the course, you should contact Virgilio
Gomez-Rubio  (v.gomezrubio at imperial.ac.uk).



*) More Info 

Additional information on the analysis of spatial data with R, including
a gallery of figures, can be found via 
http://cran.r-project.org/src/contrib/Views/Spatial.html.

You can find more information about the course at the following web
site:
   http://www.bias-project.org.uk