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 Beguer?a 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> escribi?: 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 M?nster Heisenbergstra?e 2, 48149 M?nster, 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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