Hi Milan, The new package looks great. Any plans to generate animations from spacetime objects on a Google platform such as Maps or Earth?
I would love to see something similar to Google's Public Data Explorer/google motion charts become available within an R package (see below links)... http://www.google.com.au/publicdata/explore?ds=d5bncppjof8f9_&ctype=b&strail=false&nselm=s&met_x=sp_dyn_le00_in&scale_x=lin&ind_x=false&met_y=sp_dyn_tfrt_in&scale_y=lin&ind_y=false&met_s=sp_pop_totl&scale_s=lin&ind_s=false&dimp_c=country:region&ifdim=country&hl=en&dl=en&iconSize=0.5&uniSize=0.035#!ctype=m&strail=false&bcs=d&nselm=s&met_s=sp_pop_totl&scale_s=lin&ind_s=false&dimp_c=country:region&ifdim=country&pit=1302530400000&hl=en_US&dl=en&ind=false http://www.google.com.au/publicdata/explore?ds=ml9s8a132hlg_&ctype=m&strail=false&nselm=s&met_s=minimum_wage&fdim_s=currency:eur&scale_s=log&ind_s=false&met_c=minimum_wage&fdim_c=currency:eur&idim=country:lu&ifdim=country&pit=1293840000000&hl=en&dl=en&iconSize=0.5&uniSize=0.035&yMax=58.5924685&xMin=-8.2391222&xMax=35.43979471&mapType=t&yMin=35.902422#!ctype=m&strail=false&bcs=d&nselm=s&met_s=minimum_wage&fdim_s=currency:eur&scale_s=log&ind_s=false&idim=country:lu&ifdim=country&hl=en_US&dl=en&ind=false Cheers, Ross -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Milan Kilibarda Sent: Friday, 5 April 2013 6:48 PM To: [email protected] Subject: [R-sig-Geo] New version of plotGoogleMaps ( now plot STDIF and STFDF data) Dear all, I have just uploaded to CRAN a new version plotGoogleMaps. Significant changes in plotGoogleMaps are listed below: * Now plotGoogleMaps plot spacetime STDIF and STFDF data; See example in vignette. * Some bugs in plotting pie charts over Google Maps are repaired - function segmentGoogleMaps; * Functions provide data to be plotted in similar way like spplot maps; pieSP, vectorsSP, colors like in plotGoogleMaps (PolyCol) and similar are now in package. Example: # plotGoogleMaps plot library(plotGoogleMaps) data(meuse) coordinates(meuse)<-~x+y # convert to SPDF proj4string(meuse) <- CRS('+init=epsg:28992') m<-segmentGoogleMaps(meuse, zcol=c('zinc','dist.m'), mapTypeId='ROADMAP', filename='myMap4.htm', colPalette=c('#E41A1C','#377EB8'), strokeColor='black') # spplot pies<-pieSP(meuse,zcol=c('zinc','dist.m'), max.radius=100) pies$pie2=rep(1:2,155) spplot(pies, 'pie2', col.regions=c('#E41A1C','#377EB8') ) # plot cols=PolyCol(pies$pie2,colPalette=c('#E41A1C','#377EB8') )$cols plot(as(pies,'SpatialPolygons'), col=cols) #plotKML library(plotKML) plotKML(pies, colour='pie2', colour_scale=cols) All major changes are documented in the vignette. Happy testing, Milan Kilibarda University of Belgrade, Faculty of Civil Engineering, Department of Geodesy and Geoinformatics, Address: Bulevar kralja Aleksandra 73 11000 Belgrade, Serbia, Mail: [email protected] tel:+381 11 3218516 [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
