My data consists of lat, long, and the number of customers associated with each How do I go about converting my data.frame to a spatial object?
On Tue, Mar 3, 2009 at 3:40 PM, Paul Hiemstra <p.hiems...@geo.uu.nl> wrote: > Hi, > > You have to provide some more info in order for us to answer you question. > How does 'your data' look like? A data.frame with x and y coordinates and > more info? If this is correct, you need to convert the xy data.frame to a > spatial object: > > library(sp) > data(meuse) # data.frame > # The columns with the x and y coordinates are called "x" and "y" > coordinates(meuse) = ~x+y # SpatialPointsDataFrame > > Then you can use overlay() to find out in which customer is in which > polygon. Then you can count the number of customers per zip code. > > cheers, > Paul > > Alina Sheyman schreef: > >> I'm very new to creating maps using shapefiles, so this question might be >> pretty basic. >> >> I'm trying to create a map of the US, divided up by zip codes, where i >> then >> map number of customers by zip code. >> I located shapefiles for US with zip codes (although at this point only >> for >> individual states, and not the entire country) and read it into R using >> maptools, >> but now I need to apply my data (which I read into R as a separate data >> frame and not a shapefile) to that map. Which is the part where I get >> completely lost and not sure how to proceed. If anyone could give me any >> pointers I'd really appreciate it. >> >> thank you >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> >> > > > -- > Drs. Paul Hiemstra > Department of Physical Geography > Faculty of Geosciences > University of Utrecht > Heidelberglaan 2 > P.O. Box 80.115 > 3508 TC Utrecht > Phone: +3130 274 3113 Mon-Tue > Phone: +3130 253 5773 Wed-Fri > http://intamap.geo.uu.nl/~paul <http://intamap.geo.uu.nl/%7Epaul> > > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
