Apologies- looks like that only supports raster tiles, as does the R package 'tiler'.
Sorry for the multiple messages on this. Cheers, Mike Please pardon any typos, this message was sent from a mobile device. On Wed, Sep 5, 2018, 2:04 PM Michael Treglia <mtreg...@gmail.com> wrote: > I'll just second Barry's idea in particular, to set up as a standalone > webpage. You could even use QGIS and the QGIS2Web Plugin to create that, > and host via GitHub pages or similar. > > From R, after creating a map via leaflet and similar packages, you can use > htmlwidgets::saveWidget() to export as a standalone .html file if I recall > correctly. > > The one thing regarding a standalone webpage is that if you have a lot of > objects (especially complex ones), that can be a lot for a browser to > handle (given the data are part of the html file). Might be worth some > quick experimentation, and simplifying polygons would help. (You could > always create a quick landing page, even generated via rMarkdown, and > having a link for maps by different regions or countries - then you could > have a folder of .html files you could distribute, and users could just > open the landing page, and navigate from there). > > Just some quick thoughts... Hope this helps. > Mike T > > On Wed, Sep 5, 2018 at 1:17 PM Erin Stearns <estearn...@gmail.com> wrote: > >> Hello all, >> >> Thank you all very much for the great insight! >> >> *McCrea *- thank you very much, I will test using a geojson first, then >> test after reducing geometry. >> >> *Tim* - thank you for the great breakdown and recommended priority list. >> Ideally, I would like to be able to share the interactive map with >> teammates as a file or something akin to it such that they can simply open >> it and interact with the map. RInno is a great option, however I run a >> linux machine, so will look into further, but may need to find another >> option. >> >> *Roman* - the app is currently deployed to shinyapps.io. Thank you for >> sharing about ShinyProxy -- so would this method require 1. Internet and >> 2. >> local installation (vs internal server)? >> >> *Barry* - wow, thank you for your response! Sounds like this would be the >> best way to solve both issues. I am not as fluent with HTML and JS, but as >> you say, there are likely great guides available to take this route. >> >> Thank you all again, this has been hugely helpful. I wish you all the best >> and hope I can be of help to you at some point! >> >> Best, >> Erin >> >> >> On Wed, Sep 5, 2018 at 12:48 AM Barry Rowlingson < >> b.rowling...@lancaster.ac.uk> wrote: >> >> > >> > >> > On Wed, Sep 5, 2018 at 12:56 AM, Erin Stearns <estearn...@gmail.com> >> > wrote: >> > >> >> Hello all! >> >> >> >> I hope this message finds you all well! >> >> >> >> I have 2 questions pertaining to the creation of interactive maps via >> >> Leaflet nested inside an RShiny app. One question has to do with >> >> computation while the other has to do with sharing/off-line >> interactivity. >> >> >> >> *Computation question* >> >> As you see, the RShiny app takes quite a bit of time to render. Does >> >> anyone >> >> have any suggestions for improving this? As previously said, this >> version >> >> only contains 5 countries, thus I cannot continue with my current >> method >> >> to >> >> reach a global map. I have considered finding centroids of all Admin 2 >> >> polygons and retaining attribute information here, then rasterizing the >> >> malaria risk shapefile for visualization and using the 2 instead of a >> >> single shapefile with polygon boundaries and attributes. >> >> >> >> >> > Unless you plan to add any computational functions to this map then I'd >> > strongly recommend creating it as a standalone web app and not a shiny >> app. >> > This will enable you to use lots of useful Leaflet plugins for speeding >> > things up, such as only showing country outlines at low zoom levels, and >> > showing subdivisions only at high zoom levels. This *might* be possible >> > with R's various leaflet packages but I'd go for full javascript >> control. >> > >> > A standalone map would take its data from a JSON file or similar, and >> you >> > would then be writing R code that generated that. The mapping app >> itself is >> > written in HTML and JS with CSS styling. There are plenty of guides to >> > web-based interactive mapping, starting with Leaflet. >> > >> > >> >> *Sharing the app/offline interactivity* >> >> I am planning to share this with people who likely do not have R >> installed >> >> on their laptops nor have they ever coded. Does anyone have any >> >> suggestions >> >> for the best way to do this while retaining interactivity? >> >> >> >> Here's the big win of creating a standalone web map. You only have to >> > distribute the HTML/CSS/JS and they can be viewed directly (or you also >> > supply a tiny server that runs locally and only has to feed the files >> on a >> > localhost port). No need to have a shiny server anywhere, or install R. >> Its >> > simple and clean. It also needs no network connectivity, but you'll not >> get >> > a base map - but you could include a low or medium resolution basemap >> > raster in your package. >> > >> > The only reason to need Shiny here would be if you wanted people to do >> > something computational, like click on a bunch of polygons and then fit >> a >> > linear model to the selection, since that would require a round-trip to >> the >> > server for R to compute the fit. (although I suspect there's a JS >> package >> > for linear modelling.... you can do ML in JS these days...) >> > >> > >> > >> >> Thank you all, any insight is greatly appreciated. >> >> >> >> Best, >> >> Erin >> >> >> >> [[alternative HTML version deleted]] >> >> >> >> _______________________________________________ >> >> R-sig-Geo mailing list >> >> R-sig-Geo@r-project.org >> >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> >> >> > >> > >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@r-project.org >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo