[R] Problems with spatial data for Masterthesis
Jeff Newmiller
jdnewmil at dcn.davis.CA.us
Thu Dec 18 20:32:08 CET 2014
Depending how your data are stored, this could be solved with a very basic use of R, such as the ifelse and aggregate functions. Try reading [1] for suggestions on clarifying your problem statement and follow up.
[1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
---------------------------------------------------------------------------
Jeff Newmiller The ..... ..... Go Live...
DCN:<jdnewmil at dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
---------------------------------------------------------------------------
Sent from my phone. Please excuse my brevity.
On December 18, 2014 1:23:09 AM PST, Christian Brodbeck <christiano.brodii at gmail.com> wrote:
>Hi
>
>I write my masterthesis and don't know how I can count points in a
>spatial net.
>
>In practical I have a data set for carsharing usage in Berlin. It
>includes the Idletime of the cars with Long/lat coordinates for the
>certain places. So if I plot those points I have something like a cloud
>of points over the area of Berlin. SoMy task is, to find out, in which
>area of Berlin is the idletime of the carsharing the logest. Therefor I
>wanted to cluster the innercity of Berlin. I loaded a kml file about
>the districts of berlin and put the "net" together with the cloud of
>points. So graphically it works and looks nice. By now I have to find
>out at wihich district shows the most idletimes.
>Do you know a package/program-codeexample which can handle this
>problem. In other words which can count the points located in the
>several districts?
>I would be very thankful for your help
>
>Regards
>
>Chris
>______________________________________________
>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>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.
More information about the R-help
mailing list