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Author SHA1 Message Date
Stuart Lynn
01eef5ee9e inital attempt at contours 2016-03-15 17:01:03 -04:00
Javier Goizueta
46c66476b5 Merge pull request #5 from CartoDB/4-pgxs-fix
Adapt Makefile of the extension for some PGXS versions
2016-02-29 16:35:04 +01:00
Javier Goizueta
e03aac4d8f Fix typo 2016-02-26 19:09:17 +01:00
Javier Goizueta
d885c16db2 Adapt Makefile of the extension for some PGXS versions
Postgresql 9.3.11 doesn't generates $DATA by default.
fixes #4
2016-02-26 19:02:18 +01:00
11 changed files with 67 additions and 110 deletions

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@@ -28,3 +28,6 @@ REGRESS_OPTS = --inputdir='$(TEST_DIR)' --outputdir='$(TEST_DIR)'
PG_CONFIG = pg_config
PGXS := $(shell $(PG_CONFIG) --pgxs)
include $(PGXS)
# This seems to be needed at least for PG 9.3.11
all: $(DATA)

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@@ -1,25 +0,0 @@
### Union Adjacent
This is an aggregate function that will take a set of polygons and return a geometry array
of regions where the polygons are continuous. Basically it combines polygons
which are touching in to single polygons.
It takes a single value:
* `geometry` a list of geometries to be clustered and joined
and returns
* `geometry[]` an array of the joined geometries.
An example usage would be something like:
```postgresql
with joined_polygons as (
select cdb_union_adjacent(the_geom) regions from some_table
)
select unnest(region) the_geom from joined_polygons
```
which will produce a table with regions of continuous polygons from the original
table.

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@@ -1,43 +0,0 @@
CREATE OR REPLACE FUNCTION _cdb_final_union_adjacent( joined_geoms geometry[] )
RETURNS geometry[] AS $$
BEGIN
RETURN joined_geoms;
END
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION _cdb_state_update_union_adjacent(clusters geometry[], new_geom geometry)
RETURNS geometry[] AS $$
DECLARE
joins geometry[] :='{}';
unjoined geometry[] :='{}';
i integer;
combined geometry;
BEGIN
joins := (select array_agg(g)
from unnest(clusters) a(g)
where ST_TOUCHES(g, new_geom));
unjoined := (select array_agg(g)
from unnest(clusters) a(g)
where ST_TOUCHES(g, new_geom) = false);
IF array_length(joins, 1) > 0 THEN
joins := array_append(joins, new_geom);
combined := ST_UNION(joins);
ELSE
combined := new_geom;
END IF;
unjoined := array_append(unjoined, combined);
RETURN unjoined;
END
$$
LANGUAGE plpgsql;
CREATE AGGREGATE cdb_union_adjacent(geometry)(
SFUNC=_cdb_state_update_union_adjacent,
STYPE=geometry[],
FINALFUNC=_cdb_final_union_adjacent,
INITCOND='{}'
);

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@@ -0,0 +1,12 @@
CREATE OR REPLACE FUNCTION
cdb_contours_count (
query TEXT,
levels NUMERIC[]
)
RETURNS TABLE (the_geom geometry , level Numeric)
AS $$
from crankshaft.contours import create_countours_count
return create_countours_count(query,levels)
$$ LANGUAGE plpythonu;

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@@ -1,22 +0,0 @@
\i test/fixtures/touching_polygons.sql
-- test table (polygons, some of which touch and some which dont)
CREATE TABLE touching_polygons(cartodb_id integer, the_geom geometry);
INSERT INTO touching_polygons VALUES
(1, ST_GeomFromText('POLYGON ((0 0, 1 0,1 1, 0 1, 0 0 ))')),
(2, ST_GeomFromText('POLYGON ((1 0, 2 0, 2 1, 1 1, 1 0))')),
(1, ST_GeomFromText('POLYGON ((0 1, 1 1,1 2, 0 2, 0 1 ))')),
(4, ST_GeomFromText('POLYGON ((3 0, 4 0, 4 1, 3 1, 3 0))')),
(5, ST_GeomFromText('POLYGON ((3 1, 4 1, 4 2, 3 2, 3 1))'));
WITH joined_polygons AS (
SELECT cdb_crankshaft.cdb_union_adjacent(the_geom) the_geom FROM touching_polygons
),
unnested_polygons as (
select unnest(joined_polygons.the_geom) the_geom from joined_polygons
)
select ST_ASTEXT(unnested_polygons.the_geom) from unnested_polygons;
st_astext
------------------------------------------------
POLYGON((1 0,0 0,0 1,0 2,1 2,1 1,2 1,2 0,1 0))
POLYGON((4 1,4 0,3 0,3 1,3 2,4 2,4 1))
(2 rows)

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@@ -1,9 +0,0 @@
\i test/fixtures/touching_polygons.sql
WITH joined_polygons AS (
SELECT cdb_crankshaft.cdb_union_adjacent(the_geom) the_geom FROM touching_polygons
),
unnested_polygons as (
select unnest(joined_polygons.the_geom) the_geom from joined_polygons
)
select ST_ASTEXT(unnested_polygons.the_geom) from unnested_polygons;

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@@ -1,8 +0,0 @@
-- test table (polygons, some of which touch and some which dont)
CREATE TABLE touching_polygons(cartodb_id integer, the_geom geometry);
INSERT INTO touching_polygons VALUES
(1, ST_GeomFromText('POLYGON ((0 0, 1 0,1 1, 0 1, 0 0 ))')),
(2, ST_GeomFromText('POLYGON ((1 0, 2 0, 2 1, 1 1, 1 0))')),
(1, ST_GeomFromText('POLYGON ((0 1, 1 1,1 2, 0 2, 0 1 ))')),
(4, ST_GeomFromText('POLYGON ((3 0, 4 0, 4 1, 3 1, 3 0))')),
(5, ST_GeomFromText('POLYGON ((3 1, 4 1, 4 2, 3 2, 3 1))'));

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@@ -1,2 +1,3 @@
import random_seeds
import clustering
import contours

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@@ -0,0 +1 @@
from contours import *

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@@ -0,0 +1,47 @@
import matplotlib.pyplot as plt
import numpy as np
import plpy
def contour_to_polygon(contour):
plpy.notice('appending contour ')
c = np.append(contour, [contour[0]], axis=0)
points =','.join( [ " ".join(str(a) for a in b) for b in c])
return "POLYGON(({points}))::geometry".format(points=points)
def create_countours_count(query,levels,mesh_size=20):
qresult = plpy.execute( "select ST_X(the_geom)::Numeric as x, ST_Y(the_geom)::Numeric as y from ({query}) a ".format(query=query))
x =[]
y =[]
for a in qresult:
if a['x'] and a['y']:
x.append(float(a['x']))
y.append(float(a['y']))
plpy.notice(np.shape(x))
plpy.notice(np.shape(y))
if None in x:
plpy.notice("NULL IN LIST X ")
if None in y:
plpy.notice("NULL IN LIST Y ")
x_min,x_max = np.min(x), np.max(x)
y_min,y_max = np.min(y), np.max(y)
plpy.notice(x_min)
plpy.notice(x_max)
plpy.notice(y_min)
plpy.notice(y_max)
plpy.notice(mesh_size)
x_grid = np.linspace(x_min,x_max, mesh_size)
y_grid = np.linspace(y_min,y_max, mesh_size)
range = [[x_min,x_max],[y_min,y_max]]
a, xedges, yedges= np.histogram2d(x,y,bins=(mesh_size,mesh_size), range=range)
a = np.swapaxes(a,0,1)
plpy.notice("here about to create the contours")
CS = plt.contour(xedges[1:],yedges[1:] ,a,4,linewidths=0.5, colors='b')
plpy.notice(levels)
return[(contour_to_polygon(CS.Cntr.trace((level))[0]), float(level)) for level in levels]

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@@ -10,7 +10,7 @@ from setuptools import setup, find_packages
setup(
name='crankshaft',
version='0.0.01',
version='0.0.1',
description='CartoDB Spatial Analysis Python Library',
@@ -40,9 +40,9 @@ setup(
# The choice of component versions is dictated by what's
# provisioned in the production servers.
install_requires=['pysal==1.11.0','numpy==1.6.1','scipy==0.17.0'],
install_requires=['pysal==1.11.0','numpy==1.10.1','scipy==0.17.0', 'matplotlib==1.4.3'],
requires=['pysal', 'numpy'],
requires=['pysal', 'numpy', 'matplotlib'],
test_suite='test'
)