[R-sig-Geo] Data sets for teaching spatial analysis in R

[Andrew Zammit Mangion]

Hi Andy,
 I have put a couple of dozen datasets either that I've worked on or that I found interesting here

https://hpc.niasra.uow.edu.au/ckan/organization/cei

Most of these are classics, some of which can be found in R packages, and all are spatial or spatio-temporal in nature. I have supplied a description and reference for each dataset and these are available under a Creative Commons (CC) license.  Hope it's of use.

Regards,
Andrew

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Andrew Zammit Mangion, Statistical Computing Scientist, 
Centre for Environmental Informatics, National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, 
University of Wollongong NSW 2522, 
Australia Office telephone:
Within Australia... (02) 4221 5112 
International... +61 2 4221 5112
E-mail: azm at uow.edu.au
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________________________________________
From: R-sig-Geo <r-sig-geo-bounces at r-project.org> on behalf of Andy Bunn <Andy.Bunn at wwu.edu>
Sent: 25 April 2016 13:07
To: r-sig-geo at r-project.org
Subject: [R-sig-Geo] Data sets for teaching spatial analysis in R

Hi all, I'm teaching a five week unit for environmental science grad students on spatial analysis in R. It's kind of a blitz of methods to let them see the kinds of analyses that are commonly used in spatial analysis. We cover spatial autocorrelation, point patterns, interpolation, and spatial regression. They work through examples in R throughout and I like to provide them with an interesting variety of data sets to work with - e.g., we use the Meuse River data quite a bit and read from Bivand et al. 2013 - so we use some of the data from that as well.  I'd love to hear about data sets that some of you might use to teach spatial in R. I have students in the class that have interests ranging from marine ecology, to toxicology, to wildlife. So a great blend of students and interests.

Many thanks for tips,

-Andy

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