[R-sig-Geo] spatialpoints: each dot represents 100 individuals?

[Juta Kawalerowicz]

Hi and thanks for all suggestions - not I have like 9 million
individuals (Swedish population registry data, it's magical) and
wanted to have a look at patterns of residential segregation. A while
back there was this cool map by
http://www.nytimes.com/interactive/2015/07/08/us/census-race-map.html
where each dot represented say 100 people (this actually depends on
how much you zoom in) and I was wondering about what would be the
conventional way of doing this thing.

Juta

On Mon, Apr 25, 2016 at 2:44 PM, Edzer Pebesma
<edzer.pebesma at uni-muenster.de> wrote:
> Do these hexagons represent areas with equal area?
>
> On 25/04/16 13:52, Santiago Beguería wrote:
>> Hi Juta,
>>
>> Do you need to represent the aggregated data as points necessarily? Otherwise, I have used the stat_hexbin representation from ggplot2 for that very purpose, see for instance:
>>
>> http://santiago.begueria.es/wordpress/wp-content/uploads/2015/06/Figure_01.png
>>
>> Cheers,
>>
>> Stg
>>
>>> El 25 abr 2016, a las 13:35, Juta Kawalerowicz <juta.kawalerowicz at nuffield.ox.ac.uk> escribió:
>>>
>>> Hi,
>>>
>>> I have a dataset with couple of million of points (individuals) and
>>> would like to do some mapping (I have the coordinates of each point)
>>> but given the number of observation I think it may be usuful to plot
>>> dots which represent 100 individuals (of a given group). Does anyone
>>> know a good way to aggregate up spatialpoints? Any suggestions would
>>> be much appreciated!
>>>
>>> Best wishes,
>>> Juta
>>>
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>
> --
> Edzer Pebesma
> Institute for Geoinformatics  (ifgi),  University of Münster
> Heisenbergstraße 2, 48149 Münster, Germany; +49 251 83 33081
> Journal of Statistical Software:   http://www.jstatsoft.org/
> Computers & Geosciences:   http://elsevier.com/locate/cageo/
> Spatial Statistics Society http://www.spatialstatistics.info
>
>
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