[R] spatial partition

[Michael Bedward]

Some quick ideas...

One very easy way would be to round them all to integer degrees and
remove the duplicates - or even just let the duplicates overwrite each
other in the plot.

A step up from that would be to create a matrix at some resolution
(e.g. 180 x 360 for a 1 degree global grid) and count the number of
points that fall into each matrix cell. Then plot those points with
symbol color or size to represent frequency categories.

If you want to get fancy and look for "natural" spatial clusters of
points in your data there are a number of packages that can help you:
http://cran.r-project.org/web/views/Spatial.html

Hope this helps.
Michael


On 14 October 2010 19:32, ogbos okike <ogbos.okike at gmail.com> wrote:
> Hi everybody,
> I have a huge  longitude and latitude data. I have used raster package to
> get the since of its global distribution. But I wish to display the
> information using a few points on the world map.
>
> The data is of the form:
> 95.2156 0.8312
> -65.3236 -3.3851
> -65.2364 -3.2696
> -65.2349 -3.2679
> 164.7025 -17.6404
> 148.8214 -4.8285
> -67.6568 2.6477
> -73.4833 -0.2350
> 40.9587 -16.8655
> -61.6474 8.1179
> 93.3401 -0.2755
> 119.9011 -17.1733
> -69.7640 1.1245
> -149.3088 -20.0035
> 177.8753 -3.4200
> -67.5590 3.0133
> -21.9331 15.4684
> 120.2656 -17.6166
> 165.9368 -17.3888
> 164.7335 -17.6953
> -74.0017 -1.8623
> -71.1195 -3.3562
> 130.1496 -11.5775
>
>
> I am thinking of a way of handling that data in such a way that they can be
> represented by fewer points when plotted on the map. I have tried using
> factor method but didn't get any way.
>
> Thank you for any idea
> Best
> Ogbos
>
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