PostGIS 1.5 allows distance queries on non-point geographic geometry columns with `ST_Distance_Sphere`, enabled this functionality.
git-svn-id: http://code.djangoproject.com/svn/django/trunk@12890 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -536,7 +536,9 @@ class PostGISOperations(DatabaseOperations, BaseSpatialOperations):
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op = op(self.geom_func_prefix, value[1])
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elif lookup_type in self.distance_functions and lookup_type != 'dwithin':
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if not field.geography and field.geodetic(self.connection):
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# Geodetic distances are only availble from Points to PointFields.
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# Geodetic distances are only availble from Points to
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# PointFields on PostGIS 1.4 and below.
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if not self.connection.ops.geography:
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if field.geom_type != 'POINT':
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raise ValueError('PostGIS spherical operations are only valid on PointFields.')
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@ -265,13 +265,23 @@ class DistanceTest(unittest.TestCase):
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def test05_geodetic_distance_lookups(self):
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"Testing distance lookups on geodetic coordinate systems."
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if not oracle:
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# Oracle doesn't have this limitation -- PostGIS only allows geodetic
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# distance queries from Points to PointFields on geometry columns (geography
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# columns don't have that limitation).
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mp = GEOSGeometry('MULTIPOINT(0 0, 5 23)')
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self.assertRaises(ValueError, len,
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AustraliaCity.objects.filter(point__distance_lte=(mp, D(km=100))))
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# Line is from Canberra to Sydney. Query is for all other cities within
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# a 100km of that line (which should exclude only Hobart & Adelaide).
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line = GEOSGeometry('LINESTRING(144.9630 -37.8143,151.2607 -33.8870)', 4326)
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dist_qs = AustraliaCity.objects.filter(point__distance_lte=(line, D(km=100)))
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if oracle or connection.ops.geography:
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# Oracle and PostGIS 1.5 can do distance lookups on arbitrary geometries.
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self.assertEqual(9, dist_qs.count())
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self.assertEqual(['Batemans Bay', 'Canberra', 'Hillsdale',
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'Melbourne', 'Mittagong', 'Shellharbour',
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'Sydney', 'Thirroul', 'Wollongong'],
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self.get_names(dist_qs))
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else:
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# PostGIS 1.4 and below only allows geodetic distance queries (utilizing
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# ST_Distance_Sphere/ST_Distance_Spheroid) from Points to PointFields
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# on geometry columns.
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self.assertRaises(ValueError, dist_qs.count)
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# Ensured that a ValueError was raised, none of the rest of the test is
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# support on this backend, so bail now.
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@ -160,21 +160,26 @@ to be in the units of the field.
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.. note::
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For PostGIS users, the routine ``ST_distance_sphere``
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For users of PostGIS 1.4 and below, the routine ``ST_Distance_Sphere``
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is used by default for calculating distances on geographic coordinate systems
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-- which may only be called with point geometries [#fndistsphere]_. Thus,
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geographic distance lookups on traditional PostGIS geometry columns are
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(e.g., WGS84) -- which may only be called with point geometries [#fndistsphere14]_.
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Thus, geographic distance lookups on traditional PostGIS geometry columns are
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only allowed on :class:`PointField` model fields using a point for the
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geometry parameter.
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.. note::
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PostGIS 1.5 introduced :ref:`geography columns <geography-type>`, which
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is limited on what geometry types distance queries are performed with. In
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other words, if you have ``geography=True`` in your geometry field
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definition you'll be allowed to peform arbitrary distance queries with your
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data in geodetic units of WGS84.
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In PostGIS 1.5, ``ST_Distance_Sphere`` does *not* limit the geometry types
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geographic distance queries are performed with. [#fndistsphere15]_ However,
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these queries may take a long time, as great-circle distances must be
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calculated on the fly for *every* row in the query. This is because the
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spatial index on traditional geometry fields cannot be used.
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For much better performance on WGS84 distance queries, consider using
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:ref:`geography columns <geography-type>` in your database instead because
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they are able to use their spatial index in distance queries.
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You can tell GeoDjango to use a geography column by setting ``geography=True``
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in your field definition.
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For example, let's say we have a ``SouthTexasCity`` model (from the
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`GeoDjango distance tests`__ ) on a *projected* coordinate system valid for cities
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@ -300,5 +305,6 @@ Method PostGIS Oracle SpatiaLite
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.. [#fnwkt] *See* Open Geospatial Consortium, Inc., `OpenGIS Simple Feature Specification For SQL <http://www.opengis.org/docs/99-049.pdf>`_, Document 99-049 (May 5, 1999), at Ch. 3.2.5, p. 3-11 (SQL Textual Representation of Geometry).
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.. [#fnewkb] *See* `PostGIS EWKB, EWKT and Canonical Forms <http://postgis.refractions.net/documentation/manual-1.5/ch04.html#EWKB_EWKT>`_, PostGIS documentation at Ch. 4.1.2.
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.. [#fngeojson] *See* Howard Butler, Martin Daly, Allan Doyle, Tim Schaub, & Christopher Schmidt, `The GeoJSON Format Specification <http://geojson.org/geojson-spec.html>`_, Revision 1.0 (June 16, 2008).
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.. [#fndistsphere] *See* PostGIS 1.5 ``ST_distance_sphere`` `documentation <http://postgis.refractions.net/documentation/manual-1.5/ST_Distance_Sphere.html>`_.
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.. [#fndistsphere14] *See* `PostGIS 1.4 documentation <http://postgis.refractions.net/documentation/manual-1.4/ST_Distance_Sphere.html>`_ on ``ST_distance_sphere``.
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.. [#fndistsphere15] *See* `PostGIS 1.5 documentation <http://postgis.refractions.net/documentation/manual-1.5/ST_Distance_Sphere.html>`_ on ``ST_distance_sphere``.
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.. [#] MySQL only supports bounding box operations (known as minimum bounding rectangles, or MBR, in MySQL). Thus, spatial lookups such as :lookup:`contains <gis-contains>` are really equivalent to :lookup:`bbcontains`.
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@ -107,10 +107,11 @@ a flat surface is a straight line, the shortest path between two points on a cur
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surface (such as the earth) is an *arc* of a `great circle`__. [#fnthematic]_ Thus,
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additional computation is required to obtain distances in planar units (e.g.,
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kilometers and miles). Using a geographic coordinate system may introduce
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complications for the developer later on. For example, PostGIS does not
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have the capability to perform distance calculations between non-point
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geometries using geographic coordinate systems, e.g., constructing a query to
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find all points within 5 miles of a county boundary stored as WGS84. [#fndist]_
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complications for the developer later on. For example, PostGIS versions 1.4
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and below do not have the capability to perform distance calculations between
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non-point geometries using geographic coordinate systems, e.g., constructing a
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query to find all points within 5 miles of a county boundary stored as WGS84.
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[#fndist]_
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Portions of the earth's surface may projected onto a two-dimensional, or
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Cartesian, plane. Projected coordinate systems are especially convenient
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@ -123,9 +124,10 @@ calculations.
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.. note::
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If you wish to peform arbitrary distance queries using non-point
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geometries, consider using PostGIS 1.5 and enabling the
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:attr:`GeometryField.geography` keyword to use the
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:ref:`geography database type <geography-type>` instead.
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geometries in WGS84, consider upgrading to PostGIS 1.5. For
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better performance, enable the :attr:`GeometryField.geography`
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keyword so that :ref:`geography database type <geography-type>`
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is used instead.
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Additional Resources:
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@ -182,7 +184,7 @@ three-dimensonal support.
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.. attribute:: GeometryField.geography
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If set to ``True``, this option will use create a database column of
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If set to ``True``, this option will create a database column of
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type geography, rather than geometry. Please refer to the
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:ref:`geography type <geography-type>` section below for more
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details.
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@ -223,8 +225,6 @@ For more information, the PostGIS documentation contains a helpful section on
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determining `when to use geography data type over geometry data type
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<http://postgis.refractions.net/documentation/manual-1.5/ch04.html#PostGIS_GeographyVSGeometry>`_.
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``GeoManager``
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==============
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@ -262,5 +262,5 @@ for example::
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.. [#fnsrid] Typically, SRID integer corresponds to an EPSG (`European Petroleum Survey Group <http://www.epsg.org>`_) identifier. However, it may also be associated with custom projections defined in spatial database's spatial reference systems table.
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.. [#fnharvard] Harvard Graduate School of Design, `An Overview of Geodesy and Geographic Referencing Systems <http://www.gsd.harvard.edu/gis/manual/projections/fundamentals/>`_. This is an excellent resource for an overview of principles relating to geographic and Cartesian coordinate systems.
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.. [#fnthematic] Terry A. Slocum, Robert B. McMaster, Fritz C. Kessler, & Hugh H. Howard, *Thematic Cartography and Geographic Visualization* (Prentice Hall, 2nd edition), at Ch. 7.1.3.
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.. [#fndist] This isn't impossible using GeoDjango; you could for example, take a known point in a projected coordinate system, buffer it to the appropriate radius, and then perform an intersection operation with the buffer transformed to the geographic coordinate system.
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.. [#fndist] This limitation does not apply to PostGIS 1.5. It should be noted that even in previous versions of PostGIS, this isn't impossible using GeoDjango; you could for example, take a known point in a projected coordinate system, buffer it to the appropriate radius, and then perform an intersection operation with the buffer transformed to the geographic coordinate system.
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.. [#fngeography] Please refer to the `PostGIS Geography Type <http://postgis.refractions.net/documentation/manual-1.5/ch04.html#PostGIS_Geography>`_ documentation for more details.
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