Dear Dr. Gräler,
Thanks for your contribution. I very much enjoyed the clustering suggestion,
and it seems to be available in R's leaflet through the "markerClusterOptions"
command. It could solve my problem, so I will take a closer look at that.
Regarding your first suggestion, can you point me
y, July 27, 2017, 7:29:44 AM CDT, Kent Johnson <kent3...@gmail.com>
wrote:
Date: Thu, 27 Jul 2017 04:09:53 + (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
>
> Date: Thu, 27 Jul 2017 04:09:53 + (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: <163
Dear Thiago,
if you want them spatially evenly distributed, you could overlay a grid
and select the largest per grid box - or maybe more intuitive, select
the largest per predefined administrative areas (counties/postal
codes/...). This could also change based on zoom-level. An alternative
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
