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

[Roman Luštrik]

Regarding sharing, you will need to deploy this to a shiny server.
shinyapps.io offer a paid option which has more functionality and may work
for you if you don't have infrastructure capabilities. If you do, and I've
learnt of this just recently, another option is shinyproxy. It offer some
login capabilities, deploying through docker and is "easy" to setup
(provided nothing goes wrong).

Cheers,
Roman

On Wed, Sep 5, 2018 at 1:57 AM Erin Stearns <estearns88 using 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.
>
> *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
>
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>
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-- 
In God we trust, all others bring data.

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