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

Santiago Beguería santiago.begueria at csic.es
Mon Apr 25 15:00:45 CEST 2016


Good question. Not on my example, I don’t think so. It will depend on the projection of your data, I guess.

Stg

> El 25 abr 2016, a las 14:44, Edzer Pebesma <edzer.pebesma at uni-muenster.de> escribió:
> 
> 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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>> 
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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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