On Thu, Jul 27, 2017 at 10:11 AM, Thiago V. dos Santos < thi_vel...@yahoo.com.br> wrote:
> Hi Kent, > > Thank you very much for the response. > > This is exactly the same approach I am using now, with a different radius > formula though. > > It is not at all terrible, but do you see how overlapped the largest > cities are, and how difficult it is to click on some smaller cities? > To my eye radius=~10*pmax(sqrt(Population), 100) keeps the overlap manageable and makes the small cities a little bigger. The advantage of leaflet vs plot is that you can easily zoom in to see the smaller cities and click on them. Kent > This is why I am looking for an objective way to filter out the smallest > cities, while at the same time keeping as much information on the map as > possible (i.e. not leaving too many "blank" areas). > > Best, > -- Thiago V. dos Santos > > PhD student > Land and Atmospheric Science > University of Minnesota > > > > On Thursday, July 27, 2017, 7:29:44 AM CDT, Kent Johnson < > kent3...@gmail.com> wrote: > > > Date: Thu, 27 Jul 2017 04:09:53 +0000 (UTC) > From: "Thiago V. dos Santos" <thi_vel...@yahoo.com.br> > To: R-sig-geo Mailing List <r-sig-geo@r-project.org> > Subject: [R-sig-Geo] How to objectively subset cities by population > Message-ID: <1634627903.292923. 1501128593...@mail.yahoo.com > <1634627903.292923.1501128593...@mail.yahoo.com>> > Content-Type: text/plain; charset="UTF-8" > > Dear all, > > I have temperature records of nearly 1200 locations in southern Brazil. > > I am writing a shiny app that will show an interactive map with the > locations plotted as circles, where the user can click a location to see > its temperature time series. > > However, if I show all the locations in the map, it will look really bad, > too cramped. > > > Have you considered using leaflet to make an interactive map? This is a > good start: > > library(leaflet) > locs <- read.csv("https://www.dropbox.com/s/ykdd8x1mlc76klt/ > locations.csv?raw=1") > > leaflet(locs) %>% addTiles() %>% > addCircles(radius=~20*sqrt(Population), label=~as.character(Geocode), > stroke=FALSE, fillOpacity=0.5) > > You can configure popups to show HTML or get Shiny events on click, for > example clicking on a city could display the time series in a separate > panel. > > Docs and many examples on the leaflet for R web site: > https://rstudio.github.io/leaflet/ > > Kent > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo