[postgis-users] Calculate variance of a multipoint
Aren Cambre
aren at arencambre.com
Sat May 28 06:09:37 PDT 2011
Thank you!
On Fri, May 27, 2011 at 9:33 PM, Stephen Woodbridge <woodbri at swoodbridge.com
> wrote:
> Aren,
>
> Your purposed approach sounds reasonable to me. You can do it all in one
> query like:
>
> select c.gid, sum(c.dist*c.dist)/count(*) as variance
> from (
> select b.gid, b.cent, st_distance(b.geom, b.cent) as dist
> from (
> select a.gid, (st_dump(a.the_geom)).geom as geom,
> centroid(a.the_geom) as cent
> from (
> select 99 as gid, 'MULTIPOINT(1 2,2 3,3 4,4 5)'::geometry as
> the_geom
> union all
> select 88 as gid, 'MULTIPOINT(1 2,2 3,3 4,4 5,3 5,9
> 9)'::geometry as the_geom
> ) as a
> ) as b
> ) as c
> group by gid order by variance desc;
>
> You should be able to replace the select...union all select ... with your
> table of multipoints.
>
> -Steve W
>
>
> On 5/27/2011 6:19 PM, Aren Cambre wrote:
>
>> Did anyone have thoughts on this? :-)
>>
>> Aren
>>
>> On Wed, May 4, 2011 at 2:12 PM, Aren Cambre <aren at arencambre.com
>> <mailto:aren at arencambre.com>> wrote:
>>
>> The more I think about it, is this a job for R? I know I need to
>> start using R at some point, just haven't begun yet.
>>
>> Aren
>>
>>
>> On Wed, May 4, 2011 at 1:42 PM, Aren Cambre <aren at arencambre.com
>> <mailto:aren at arencambre.com>> wrote:
>>
>> Suppose you have a geometry type with a multipoint. How would
>> you calculate the variance of the points in that multipoint?
>>
>> I looked through the PostGIS 1.5 function reference and am not
>> coming up with any easy way.
>>
>> A hard way seems to be using st_centroid(multipoint) to find the
>> multipoint's center. From there, I can calculate the distance
>> of each point from its center, and use that towards calculating
>> the variance (each distance is squared, all squared distances
>> are added together, then divide by number of points).
>>
>> I guess my ultimate need is to measure relative dispersion of
>> multipoints. The multipoints that have the most dispersion are
>> suspect, but I need a way of identifying which ones are like this.
>>
>> Aren
>>
>>
>>
>>
>>
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>
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