[R-sig-Geo] Leaflet map nested in RShiny App - Improving speed & portability

[Michael Treglia]

As a quick follow up, I just came across this blog post on serving up map
tiles via a GitHub repository, generating tiles via a QGIS plugin.
https://khufkens.com/2018/09/19/github-tile-server/

Not an R solution, but perhaps something that might help in a case like
this.  As explained, the solution would still require an internet
connection, but would otherwise be a lot l lighter than having a ton of
polygons in a single webpage.

Please pardon any typos, this message was sent from a mobile device.

On Wed, Sep 12, 2018, 2:27 PM <dirty-harry-ha using gmx.de> wrote:

> Hey Erin,
>
> I agree with everybody who answered, but just for completeness and FYI:
>
> Another approach for sharing a Shiny app offline as a (Windows) Desktop
> app might be using Shiny with "R portable".
>
> For further details please check for example:
> https://www.r-bloggers.com/deploying-desktop-apps-with-r/
>
> Cheers!
>
> Harry
>
> Ps. If anybody thinks this is a very bad idea, please let me know,
> because I'm planing to develop something like that ... Thanks!
>
>
> Am 05.09.2018 um 01:56 schrieb Erin Stearns:
> > 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.
> >
> > *Project description:*
> > I am creating a global map depicting binary malaria risk (at risk, not at
> > risk) at the Admin 2 level(current state only uses 5 countries and can be
> > found here <https://erstearns.shinyapps.io/malariarisk5/>).  I am using
> an
> > ESRI base map, then a polygons shapefile containing geometry and
> attributes
> > (geographical hierarchy & risk).
> >
> > *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.
> >
> > *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?
> >
> > Thank you all, any insight is greatly appreciated.
> >
> > Best,
> > Erin
> >
> >       [[alternative HTML version deleted]]
> >
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