Can you do spatial analysis in R? Yes! Learn more in
David Unwin’s online course “Spatial Analysis Techniques in R,”
December 17 - January 21 at statistics.com.
“Spatial Analysis Techniques in R” will teach users how to
implement spatial statistical analysis procedures using R
software. Topics covered include point pattern analysis,
identifying clusters, measures of spatial association,
geographically weighted regression and surface procession.
The course includes a concise introduction to R, but some prior
familiarity with R will minimize time spent learning it, and
allow you to focus more on the spatial statistics techniques.
Dr. David Unwin is Emeritus Chair of Geography at Birkbeck
College and Visiting Professor in the Department of Geomatic
Engineering at University College, both in the University of
London. He has authored over a hundred academic papers in
the field, together with a series of texts, of which the most
recent are his “Geographic Information Analysis, 2nd edition”
(with D. O'Sullivan, 2010) and a series of edited collections
at the interface between geography and computer science in
“Visualization in GIS” (Hearnshaw and Unwin, 1994), “Spatial
Analytical Perspectives on GIS” (Fischer, Scholten and Unwin,
1996) “Virtual Reality in Geography” (Fisher and Unwin, 2002)
and, most recently representation issues in “Re-presenting GIS”
(Fisher and Unwin, 2005). Participants can ask questions and
exchange comments directly with Dr. Unwin via a private
discussion board during the course.
Details:
http://www.statistics.com/ourcourses/GeostatsinR
The course takes place online at statistics.com in a series of 4
weekly lessons and assignments, and requires about 15 hours/week.
Participate at your own convenience; there are no set times when
you are required to be online.
Thanks for your consideration and hope to see you online,
Janet Dobbins
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