Puneet,

Chopping polygons is pretty simple, with a grid & st_intersection(), but you 
can certainly generalise polygons to reduce the number of vertices & size of 
objects to de-toast... beware however that if you do this then you are actually 
moving the polygon boundary, & therefore a point very near a boundary may be 
inside the original country polygon but outside the generalised/simplified one.

You can address this by simplifying a buffer of the polygons, with the buffer 
very slightly larger than the simplify distance, so that every simplified 
version fully contains the original, but you will also have to check against 
the original polygons to confirm the point is genuinely inside the original.

As an alternative approach, you might also try selecting points where the 
distance from a polygon is zero, as the ST_distance uses stabbing line 
algorithm, and may be faster. The distance will be non-zero only for points 
outside the polygon. 

Cheers,

  Brent Wood

On 21/12/2011, at 12:06 PM, Mr. Puneet Kishor wrote:

> 
> On Dec 20, 2011, at 9:48 PM, Martin Davis wrote:
> 
>> For more detail check out this thread on the same issue:
>> 
>> http://postgis.refractions.net/pipermail/postgis-users/2011-November/031345.html
> 
> 
> Thanks. Chopping up my coverage into hundreds of small regions is the last 
> avenue I want to try. Going by the text of that email, it seems that "few, 
> large, regions with many vertices (may be) the problem." I will try 
> generalizing my continents so that I have "few, large regions with *very few* 
> vertices" and see if that speeds up the SELECTs.
> 
> 
>> 
>> On 12/20/2011 5:28 PM, Puneet Kishor wrote:
>>> On Dec 20, 2011, at 7:21 PM, Paul Ramsey wrote:
>>> 
>>>> Chop up the continents into smaller pieces.
>>>> 
>>> 
>>> hmmm... I am not sure I understand the above. And then what? UNION each 
>>> smaller piece query?
>>> 
>>> 
>>>> On Tue, Dec 20, 2011 at 4:35 PM, Puneet Kishor<punk.k...@gmail.com>  wrote:
>>>>> This is probably a really basic question... my ST_Within or ST_Intersects 
>>>>> selecting points in a continent are way too slow (both take upward of 200 
>>>>> secs).
>>>>> 
>>>>>       SELECT Count(c_id)
>>>>>       FROM c, continents n
>>>>>       WHERE ST_Intersects(c.the_geom, n.the_geom) AND
>>>>>               n.continent = 'North America';
>>>>> 
>>>>> 
>>>>> Both tables have gist indexes on the geometries. The above query has the 
>>>>> following plan
>>>>> 
>>>>> "Aggregate  (cost=9.66..9.67 rows=1 width=4)"
>>>>> "  ->   Nested Loop  (cost=0.00..9.66 rows=1 width=4)"
>>>>> "        Join Filter: _st_intersects(c.the_geom, n.the_geom)"
>>>>> "        ->   Seq Scan on continents n  (cost=0.00..1.10 rows=1 width=32)"
>>>>> "              Filter: ((continent)::text = 'North America'::text)"
>>>>> "        ->   Index Scan using pbdb__collections_the_geom on collections 
>>>>> c  (cost=0.00..8.30 rows=1 width=104)"
>>>>> "              Index Cond: (c.the_geom&&  n.the_geom)"
>>>>> 
>>>>> The table c has approx 120K rows, and the continents table has 8 
>>>>> rows.Suggestions on how I can improve this? Yes, the computer is 
>>>>> otherwise very swift and modern.
>>>>> 
>>>>> 
>>>>> 
>>>>> --
>>>>> Puneet Kishor
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