Racine and Rowlingson’s pages are a nice ways of presenting information. Now suppose we start with the simplest genus – points, which have 3 species: 
matrix {base} 
ppp {spatstat} 
SpatialPoints {sp} 

For an object of one of these classes a student would want to know how to: 
1. construct 
2. print 
3. summarize 
4. visualize (plot) 
5. and convert one kind into another. 

Are there other species of point, and other important ‘methods’? 
Please correct me to make the approach more consistent with R’s precise language! 


Lee De Cola . 
----- Original Message -----
From: "Michael Sumner" <mdsumner@gmail.com> 
To: "Agustin Lobo" <Agustin.Lobo@ictja.csic.es> 
Cc: r-sig-geo@r-project.org 
Sent: Friday, December 20, 2013 8:06:29 AM 
Subject: Re: [R-sig-Geo] a spatial bestiary? 

I love the "idea", but it really is beast-ridden, so good luck to 
anyone proceeding forth from here. :) 

On Fri, Dec 20, 2013 at 7:36 PM, Agustin Lobo <alobolistas@gmail.com> wrote: 
> Both links are great, but not actually addressing the point that Lee 
> is raising. Perhaps 
> not only a guide is needed and an effort to review, harmonize and even 
> re-organize 
> different spatial objects might be needed. 
> But an structured guide presenting current spatial object classes 
> would be great help and 
> could actually highlight eventual needs for re-organization. Let's try 
> to find time for this 
> among all users. 
> Agus 
> 
> 
> 
> On Wed, Dec 18, 2013 at 11:15 PM, Etienne B. Racine <etiennebr@gmail.com> wrote: 
>> Lee, I share your confusion. Maybe something like a cheatsheet could help ? 
>> It's not highly structured, but it present information in a different way. 
>> These are two I'm aware of (I've made the last one). 
>> 
>> http://www.maths.lancs.ac.uk/~rowlings/Teaching/UseR2012/cheatsheet.html 
>> or 
>> http://www.rpubs.com/etiennebr/visualraster 
>> 
>> Etienne 
>> 
>> 
>> 2013/12/13 <ldecola@comcast.net> 
>> 
>>> 
>>> 
>>> 
>>> I’ve been teaching and using R (and S-PLUS) for a couple of decades, and 
>>> using its spatial libraries for about half of that, but i still get 
>>> confused by the various ‘geographically-aware’ data objects that are 
>>> supported. Although Bivand’s Spatial.html page is quite helpful, I wonder 
>>> is there a ‘bestiary’ that outlines (perhaps in some kind of tree format?) 
>>> what they are, what geometries are represented, which libraries create or 
>>> support them, etc.? 
>>> 
>>> Lee De Cola, PhD, MCP. 
>>> DATA to Insight 
>>> LDECOLA@COMCAST.NET 
>>> Reston, Virginia 
>>> 703 709 6972 
>>> 571 315 0577 mobile 
>>> 
>>> [[alternative HTML version deleted]] 
>>> 
>>> 
>>> _______________________________________________ 
>>> R-sig-Geo mailing list 
>>> R-sig-Geo@r-project.org 
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo 
>>> 
>>> 
>> 
>> [[alternative HTML version deleted]] 
>> 
>> 
>> _______________________________________________ 
>> R-sig-Geo mailing list 
>> R-sig-Geo@r-project.org 
>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo 
>> 
> 
> _______________________________________________ 
> R-sig-Geo mailing list 
> R-sig-Geo@r-project.org 
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo 



-- 
Michael Sumner 
Hobart, Australia 
e-mail: mdsumner@gmail.com 

_______________________________________________ 
R-sig-Geo mailing list 
R-sig-Geo@r-project.org 
https://stat.ethz.ch/mailman/listinfo/r-sig-geo 

	[[alternative HTML version deleted]]

