[R-sig-Geo] Creating multidimentional vector map

[Michael Sumner]

Hmm, the subject "multidimensional" got me thinking of "rasterized"
vector layers, but I think that was off-track.

You can use gSimplify in the rgeos package to easily simplify a
Spatial[Lines/Polygons]DataFrame as read in by readShapeSpatial
(maptools) or readOGR (rgdal) (or coerced from some other format). The
output of gSimplify is a simplified version of the input that you can
collect like any other R object in a list().

See

library(rgeos)
?gSimplify

HTH



On Wed, Feb 22, 2012 at 9:05 PM, Michael Sumner <mdsumner at gmail.com> wrote:
> This is a pretty open question, and there are certainly things you
> could do in R but I wonder if you'd be better looking elsewhere.
>
> Using GDAL gives you a lot of support for pre-rendered scales and
> tiled data sets, and the GDAL library has tools for rasterizing from
> vector layers.  Also, mapserver provides great support for serving
> layers already.
>
> I'd probably start there instead of in R itself.
>
> http://mapserver.org/
>
> www.gdal.org
>
> (This is not to say that there isn't a super-cunning R solution as
> well, but the ones I can think of would better leverage these tools
> more directly . . .).
>
> Cheers, Mike
>
> On Wed, Feb 22, 2012 at 7:28 PM, Antonio Rodriges <antonio.rrz at gmail.com> wrote:
>> Hello,
>>
>> I have some shapefiles which I would like to render on a map with
>> different scales with my own software. Is there
>> a way to precreate vector layers (somewhat aggregated) for each map
>> scale for the given shapefile in order to reduce the volume of data
>> transfer and increase the
>> visualization speed?
>>
>>
>> Thank you
>>
>> Antonio
>>
>>
>> --
>> Kind regards,
>> Antonio Rodriges
>>
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>
>
>
> --
> Michael Sumner
> Institute for Marine and Antarctic Studies, University of Tasmania
> Hobart, Australia
> e-mail: mdsumner at gmail.com



-- 
Michael Sumner
Institute for Marine and Antarctic Studies, University of Tasmania
Hobart, Australia
e-mail: mdsumner at gmail.com