Kingsford Jones
2009-Jan-02 22:30 UTC
[R] Spatial Data Analysis in R [was: Basic Question about use of R]
resending to provide a more informative subject line.... On Fri, Jan 2, 2009 at 3:21 PM, Kingsford Jones <kingsfordjones at gmail.com> wrote:> Hi David, > > A general answer to your question is: yes, R would be useful for such > analyses - particularly when interfaced with a GIS. For an > introduction to the types of spatial tools available in R see the Task > View for spatial data: > http://cran.r-project.org/web/views/Spatial.html > > Below are a few more specific comments: > > On Fri, Jan 2, 2009 at 12:12 PM, David Greene <greene107 at ntelos.net> wrote: >> Dear Sirs: >> I am not yet a user of R. My background includes the use of (Turbo) Pascal >> for scientific analysis of underwater acoustics problems (e.g. sound ray >> tracing and array gain in directional noise fields.) >> I have become interested in the following type of problem: >> (1) select , say, 1000 random locations within the continental United >> States; > > This could be as simple as using the runif function, but more likely > you'll want to look at sp::spsample, or for more advanced tools see > the spsurvey and spatstat packages. > >> (2) characterize (statistically) the probabilities of: >> (a) distance to the nearest paved road; >> (b) elevation above sea level; >> (c) (?) ownership (public or private); etc. > > R is outstanding for the types of 'statistical characterization' I > guess you are interested in. It also has excellent capabilities for > importing and manipulating spatial data (e.g. see the "Reading and > writing spatial data" section of the Task View). However for doing > things like calculating geographic distances using objects of varying > types (points, lines, polygons, grids) it's generally easiest to use a > GIS (such as GRASS, SAGA, ArcInfo, ...). You can then use the > available tools for importing the GIS results into R for statistical > analysis, and if you wish, exporting back to the GIS. However if you > do not want to put the effort into learning a GIS, it is usually > possible to work out a solution using only R. As you run into > specific problems the R-sig-geo list is a good place to get helpful > answers to well formulated questions. > >> Would R be useful , perhaps in combination with Google Earth, to carry out > > As far as I know Google Earth is designed for visualization rather > than analysis. R in combination with a GIS is really the way to go. > > Here is a current book that covers many of the spatial tools available in R > > http://www.springer.com/public+health/epidemiology/book/978-0-387-78170-9 > > hope that helps, > > Kingsford Jones > > >> this kind of study? >> Thank you for your consideration. >> David C. Greene >> greene107 at ntelos.net >> >> ______________________________________________ >> R-help at r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >