I think i might have not made myself clear in first place:

I want the lines from mata_atlantica.shp, but those are much more than
shorelines.
They are inland polygons.

thanks


2014-04-24 14:07 GMT-03:00 Agus Camacho <agus.camacho@gmail.com>:

> Thanks Roger,
>
> I didnt get what you mean with the intermediate binary dataset, you mean
> the mata_atlantica.shp file (420,241KB)?
>
> I tried maptools::Rgshhs and also getRgshhsMap but got the error:
>
> Error in Rgshhs(fn, xlim = xl.west, ylim = ylim, shift = shift, level =
> level,  :
>   Data not same version as software
>
>
>
> 2014-04-24 13:47 GMT-03:00 Roger Bivand <Roger.Bivand@nhh.no>:
>
> On Thu, 24 Apr 2014, Agus Camacho wrote:
>>
>>  Thanks for the fast response,
>>>
>>> @ Barry
>>> The .shp file is 420,241KB, the .shx is 6,994KB and the .dbf is
>>> 1,729,941KB.
>>> @ Javier, id like to use the whole region.
>>>
>>
>> But you'll never be able to render the detail in this coastline anyway.
>> Why not just use maptools::Rgshhs with the intermediate binary dataset,
>> setting a sensible bounding box? I've had trouble with the newest fine data
>> set and with the equivalent 2.3.0 shapefile (missing Norwegian islands),
>> but an older version (2.1.0) was fine.
>>
>> Roger
>>
>>
>>
>>
>>> Might be any easy way to reduce the number of vertex previously to
>>> import?
>>>
>>> These shape files are available at:
>>> http://mapas.mma.gov.br/mapas/aplic/probio/datadownload.htm
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2014-04-24 13:02 GMT-03:00 Javier Garcia-Pintado <
>>> j.garcia-pintado@reading.ac.uk>:
>>>
>>>  A possibility is, if you are interested in some specific area of the
>>>> mata
>>>> atlantica, to crop the file externally with OGR just for your study
>>>> area,
>>>> and read the cropped file into R.
>>>>
>>>> Javier
>>>> ---
>>>> __________
>>>> From: r-sig-geo-bounces@r-project.org [r-sig-geo-bounces@r-project.org]
>>>> on behalf of Barry Rowlingson [b.rowlingson@lancaster.ac.uk]
>>>> Sent: 24 April 2014 16:58
>>>> To: Agus Camacho
>>>> Cc: r-sig-geo
>>>> Subject: Re: [R-sig-Geo] Importing only lines from big shape file
>>>>
>>>> On Thu, Apr 24, 2014 at 4:47 PM, Agus Camacho <agus.camacho@gmail.com
>>>>
>>>>> wrote:
>>>>>
>>>>
>>>>  Dear Rgeos,
>>>>>
>>>>> Id like to know if there is some workaround to import  the lines
>>>>>
>>>> contained
>>>>
>>>>> by a shape file, avoiding memory problems when the only thing you need
>>>>> is
>>>>> the lines it contains.
>>>>>
>>>>> I mean, reading the lines of the world's coast lines can be done in a
>>>>> instant with:
>>>>>
>>>>> wcoastline <- PBSmapping::importShapefile("GSHHS_c_L1.shp")#
>>>>>
>>>>> However, reading a relatively small region, like the brazilian atlantic
>>>>> forest, seems impossible for my little laptop.  I tried all of these
>>>>> possibilities.
>>>>>
>>>>> AF=PBSmapping::importShapefile("mata_atlantica.shp")
>>>>> AF=rgdal::readOGR("dir",layer="mata_atlantica")
>>>>> AF=shapefiles::read.shp("mata_atlantica.shp")
>>>>>
>>>>> Any hint would be very welcome.
>>>>>
>>>>>
>>>>  Ummm not sure this makes sense. You can read all the coastlines, but
>>>> not
>>>> some of the coastlines?
>>>>
>>>>  Are the mata_atlantica  files bigger because they are more detailed?
>>>> Sometimes global data is generalized.
>>>>
>>>>  Show us the size in bytes of the files...
>>>>
>>>> Barry
>>>>
>>>>         [[alternative HTML version deleted]]
>>>>
>>>> _______________________________________________
>>>> R-sig-Geo mailing list
>>>> R-sig-Geo@r-project.org
>>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>>>>
>>>>
>>>
>>>
>>>
>>>
>> --
>> Roger Bivand
>> Department of Economics, Norwegian School of Economics,
>> Helleveien 30, N-5045 Bergen, Norway.
>> voice: +47 55 95 93 55; fax +47 55 95 91 00
>> e-mail: Roger.Bivand@nhh.no
>>
>>
>
>
> --
> Agustín Camacho Guerrero.
> Doutor em Zoologia.
> Laboratório de Herpetologia, Departamento de Zoologia, Instituto de
> Biociências, USP.
> Rua do Matão, trav. 14, nº 321, Cidade Universitária,
> São Paulo - SP, CEP: 05508-090, Brasil.
>



-- 
Agustín Camacho Guerrero.
Doutor em Zoologia.
Laboratório de Herpetologia, Departamento de Zoologia, Instituto de
Biociências, USP.
Rua do Matão, trav. 14, nº 321, Cidade Universitária,
São Paulo - SP, CEP: 05508-090, Brasil.

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