[postgis-users] PostGIS KNN best practices

[Stephen V. Mather]

Ah, I had hopes pinned on the idea that I just wasn't smart enough to figure
it out, but it's an inherent limitation.  I will be using your function
though-that is a clean way to encapsulate the functionality.

 

 

http://www.clemetparks.com/images/esig/cmp-ms-90x122.pngStephen Mather
Geographic Information Systems (GIS) Manager
(216) 635-3243

svm at clevelandmetroparks.com
 <http://www.clemetparks.com/> clevelandmetroparks.com

 

 

 

 

From: postgis-users-bounces at postgis.refractions.net
[mailto:postgis-users-bounces at postgis.refractions.net] On Behalf Of
Alexandre Neto
Sent: Wednesday, May 16, 2012 7:35 AM
To: PostGIS Users Discussion
Subject: Re: [postgis-users] PostGIS KNN best practices

 

I have been around that question to.

 

http://gis.stackexchange.com/questions/24456/nearest-neighbor-problem-in-pos
tgis-2-0-using-gist-index-function 

 

You have to do it in two steps, like is explained in the operator page
<http://postgis.refractions.net/docs/geometry_distance_centroid.html> . One
faster step to reduce the candidates (by using <-> or <#>) and second one to
get the real distances with ST_Distance.

 

The problem in finding the KNN for each row in a table is the fact that the
gist index <-> operator only works if one of the geometries is constant. The
workaround would be to create a SQL function to apply to each of the rows
using table.the_geom as a parameter.

 

Something like this:

 

----

CREATE OR REPLACE FUNCTION _enn2 (geometry) RETURNS double precision AS $$

 

WITH index_query as

(SELECT ST_Distance($1,f.the_geom) as dist

FROM "grelha5m" As f

ORDER BY $1 <#> g1.the_geom limit 1000)

SELECT dist

FROM index_query

ORDER BY dist;

 

$$ LANGUAGE SQL;

---

 

and I call it like this: 

 

---

Select c.gid as gid, _enn2(c.the_geom) as enn

>From cosn1 as c

Order by c.gid

---

 

In this case the function returned the smallest distance, but you can choose
any other column.

 

Hope it helps

 

Alexandre Neto

 

On Tue, May 15, 2012 at 5:37 PM, Stephen V. Mather
<svm at clevelandmetroparks.com> wrote:

Hi All,

                Pretty excited by the new operators <-> and <#>, but a bit
confused as to how to use them in a query.  The two examples from P. Ramsey
back in late 2011 (
http://blog.opengeo.org/2011/09/28/indexed-nearest-neighbour-search-in-postg
is/ ) included doing a KNN on a single point to a cloud of points, i.e. 

 

SELECT name, gid

FROM geonames

ORDER BY geom <-> st_setsrid(st_makepoint(-90,40),4326)

LIMIT 10;

 

or doing KNN on non-point different geometries, where the first neighbor by
<-> or <#> might not be truly the first i.e.

 

with index_query as (
  select
    st_distance(geom, 'SRID=3005;POINT(1011102 450541)') as distance,
    parcel_id, address
  from parcels
  order by geom <#> 'SRID=3005;POINT(1011102 450541)' limit 100
)
select * from index_query order by distance limit 10;

 

So, how would one grab the first nearest neighbor for all points in a
dataset?  This is how I used to do it:

 

CREATE TABLE n2180_560_height AS 

SELECT x, y, height FROM 

(SELECT DISTINCT ON(veg.gid) veg.gid as gid, ground.gid as gid_ground, veg.x
as x, veg.y as y, ground.z as z, veg.z - ground.z as height, veg.the_geom as
geometry, veg.class as class

FROM (SELECT * FROM n2180_560 WHERE class = 5) As veg, (SELECT * FROM
n2180_560 WHERE class = 2) As ground

WHERE veg.class = 5 AND veg.gid <> ground.gid AND ST_DWithin(veg.the_geom,
ground.the_geom, 10)

ORDER BY veg.gid, ST_Distance(veg.the_geom,ground.the_geom)) AS vegpoints;

 

ST_DWithin prevents a full cross join, but is a sloppy way to do this, as it
requires a priori knowledge of the end cases.  I'm hoping there's a subquery
or some such magic that would allow me to use the distance operator to a
similar end. .

 

Thanks,

Best,

Steve

 

http://www.clemetparks.com/images/esig/cmp-ms-90x122.pngStephen Mather
Geographic Information Systems (GIS) Manager
(216) <tel:%28216%29%20635-3243>  635-3243

svm at clevelandmetroparks.com
 <http://www.clemetparks.com/> clevelandmetroparks.com

 

 

 

 


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