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1236 lines
35 KiB
Text
1236 lines
35 KiB
Text
.. _ref-geoquerysets:
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=========================
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GeoQuerySet API Reference
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=========================
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.. currentmodule:: django.contrib.gis.db.models
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.. class:: GeoQuerySet([model=None])
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.. _spatial-lookups:
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Spatial Lookups
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===============
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Just like when using the :ref:`queryset-api`, interaction
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with ``GeoQuerySet`` by :ref:`chaining filters <chaining-filters>`.
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Instead of the regular Django :ref:`field-lookups`, the
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spatial lookups in this section are available for :class:`GeometryField`.
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For an introduction, see the :ref:`spatial lookups introduction
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<spatial-lookups-intro>`. For an overview of what lookups are
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compatible with a particular spatial backend, refer to the
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:ref:`spatial lookup compatibility table <spatial-lookup-compatibility>`.
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.. fieldlookup:: bbcontains
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bbcontains
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----------
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*Availability*: PostGIS, MySQL, SpatiaLite
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Tests if the geometry field's bounding box completely contains the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__bbcontains=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``poly ~ geom``
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MySQL ``MBRContains(poly, geom)``
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SpatiaLite ``MbrContains(poly, geom)``
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========== ==========================
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.. fieldlookup:: bboverlaps
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bboverlaps
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----------
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*Availability*: PostGIS, MySQL, SpatiaLite
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Tests if the geometry field's bounding box overlaps the lookup geometry's
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bounding box.
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Example::
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Zipcode.objects.filter(poly__bboverlaps=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``poly && geom``
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MySQL ``MBROverlaps(poly, geom)``
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SpatiaLite ``MbrOverlaps(poly, geom)``
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========== ==========================
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.. fieldlookup:: contained
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contained
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---------
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*Availability*: PostGIS, MySQL, SpatiaLite
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Tests if the geometry field's bounding box is completely contained by the
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lookup geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__contained=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``poly @ geom``
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MySQL ``MBRWithin(poly, geom)``
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SpatiaLite ``MbrWithin(poly, geom)``
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========== ==========================
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.. fieldlookup:: gis-contains
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contains
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--------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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Tests if the geometry field spatially contains the lookup geometry.
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Example::
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Zipcode.objects.filter(poly__contains=geom)
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========== ============================
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Backend SQL Equivalent
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========== ============================
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PostGIS ``ST_Contains(poly, geom)``
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Oracle ``SDO_CONTAINS(poly, geom)``
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MySQL ``MBRContains(poly, geom)``
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SpatiaLite ``Contains(poly, geom)``
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========== ============================
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.. fieldlookup:: contains_properly
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contains_properly
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-----------------
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*Availability*: PostGIS
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Returns true if the lookup geometry intersects the interior of the
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geometry field, but not the boundary (or exterior). [#fncontainsproperly]_
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Example::
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Zipcode.objects.filter(poly__contains_properly=geom)
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========== ===================================
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Backend SQL Equivalent
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========== ===================================
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PostGIS ``ST_ContainsProperly(poly, geom)``
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========== ===================================
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.. fieldlookup:: coveredby
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coveredby
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---------
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*Availability*: PostGIS, Oracle
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Tests if no point in the geometry field is outside the lookup geometry.
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[#fncovers]_
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Example::
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Zipcode.objects.filter(poly__coveredby=geom)
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========== =============================
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Backend SQL Equivalent
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========== =============================
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PostGIS ``ST_CoveredBy(poly, geom)``
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Oracle ``SDO_COVEREDBY(poly, geom)``
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========== =============================
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.. fieldlookup:: covers
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covers
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------
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*Availability*: PostGIS, Oracle
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Tests if no point in the lookup geometry is outside the geometry field.
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[#fncovers]_
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Example::
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Zipcode.objects.filter(poly__covers=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``ST_Covers(poly, geom)``
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Oracle ``SDO_COVERS(poly, geom)``
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========== ==========================
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.. fieldlookup:: crosses
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crosses
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-------
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*Availability*: PostGIS, SpatiaLite
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Tests if the geometry field spatially crosses the lookup geometry.
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Example::
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Zipcode.objects.filter(poly__crosses=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``ST_Crosses(poly, geom)``
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SpatiaLite ``Crosses(poly, geom)``
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========== ==========================
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.. fieldlookup:: disjoint
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disjoint
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--------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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Tests if the geometry field is spatially disjoint from the lookup geometry.
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Example::
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Zipcode.objects.filter(poly__disjoint=geom)
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========== =================================================
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Backend SQL Equivalent
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========== =================================================
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PostGIS ``ST_Disjoint(poly, geom)``
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Oracle ``SDO_GEOM.RELATE(poly, 'DISJOINT', geom, 0.05)``
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MySQL ``MBRDisjoint(poly, geom)``
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SpatiaLite ``Disjoint(poly, geom)``
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========== =================================================
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equals
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------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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.. fieldlookup:: exact
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.. fieldlookup:: same_as
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exact, same_as
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--------------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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.. fieldlookup:: intersects
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intersects
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----------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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Tests if the geometry field spatially intersects the lookup geometry.
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Example::
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Zipcode.objects.filter(poly__intersects=geom)
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========== =================================================
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Backend SQL Equivalent
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========== =================================================
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PostGIS ``ST_Intersects(poly, geom)``
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Oracle ``SDO_OVERLAPBDYINTERSECT(poly, geom)``
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MySQL ``MBRIntersects(poly, geom)``
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SpatiaLite ``Intersects(poly, geom)``
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========== =================================================
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.. fieldlookup:: overlaps
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overlaps
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--------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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.. fieldlookup:: relate
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relate
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------
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*Availability*: PostGIS, Oracle, SpatiaLite
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Tests if the geometry field is spatially related to the lookup geometry by
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the values given in the given pattern. This lookup requires a tuple parameter,
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``(geom, pattern)``; the form of ``pattern`` will depend on the spatial backend:
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PostGIS & SpatiaLite
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~~~~~~~~~~~~~~~~~~~~
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On these spatial backends the intersection pattern is a string comprising
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nine characters, which define intersections between the interior, boundary,
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and exterior of the geometry field and the lookup geometry.
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The intersection pattern matrix may only use the following characters:
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``1``, ``2``, ``T``, ``F``, or ``*``. This lookup type allows users to "fine tune"
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a specific geometric relationship consistent with the DE-9IM model. [#fnde9im]_
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Example::
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# A tuple lookup parameter is used to specify the geometry and
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# the intersection pattern (the pattern here is for 'contains').
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Zipcode.objects.filter(poly__relate(geom, 'T*T***FF*'))
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PostGIS SQL equivalent::
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SELECT ... WHERE ST_Relate(poly, geom, 'T*T***FF*')
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SpatiaLite SQL equivalent::
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SELECT ... WHERE Relate(poly, geom, 'T*T***FF*')
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Oracle
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~~~~~~
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Here the relation pattern is comprised at least one of the nine relation
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strings: ``TOUCH``, ``OVERLAPBDYDISJOINT``, ``OVERLAPBDYINTERSECT``,
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``EQUAL``, ``INSIDE``, ``COVEREDBY``, ``CONTAINS``, ``COVERS``, ``ON``, and
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``ANYINTERACT``. Multiple strings may be combined with the logical Boolean
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operator OR, for example, ``'inside+touch'``. [#fnsdorelate]_ The relation
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strings are case-insensitive.
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Example::
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Zipcode.objects.filter(poly__relate(geom, 'anyinteract'))
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Oracle SQL equivalent::
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SELECT ... WHERE SDO_RELATE(poly, geom, 'anyinteract')
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.. fieldlookup:: touches
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touches
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-------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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Tests if the geometry field spatially touches the lookup geometry.
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Example::
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Zipcode.objects.filter(poly__touches=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``ST_Touches(poly, geom)``
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MySQL ``MBRTouches(poly, geom)``
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Oracle ``SDO_TOUCH(poly, geom)``
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SpatiaLite ``Touches(poly, geom)``
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========== ==========================
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.. fieldlookup:: within
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within
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------
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*Availability*: PostGIS, Oracle, MySQL, SpatiaLite
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Tests if the geometry field is spatially within the lookup geometry.
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Example::
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Zipcode.objects.filter(poly__within=geom)
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========== ==========================
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Backend SQL Equivalent
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========== ==========================
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PostGIS ``ST_Within(poly, geom)``
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MySQL ``MBRWithin(poly, geom)``
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Oracle ``SDO_INSIDE(poly, geom)``
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SpatiaLite ``Within(poly, geom)``
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========== ==========================
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.. fieldlookup:: left
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left
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----
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*Availability*: PostGIS
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Tests if the geometry field's bounding box is strictly to the left of the
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lookup geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__left=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly << geom
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.. fieldlookup:: right
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right
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-----
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*Availability*: PostGIS
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Tests if the geometry field's bounding box is strictly to the right of the
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lookup geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__right=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly >> geom
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.. fieldlookup:: overlaps_left
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overlaps_left
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-------------
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*Availability*: PostGIS
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Tests if the geometry field's bounding box overlaps or is to the left of the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__overlaps_left=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly &< geom
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.. fieldlookup:: overlaps_right
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overlaps_right
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--------------
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*Availability*: PostGIS
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Tests if the geometry field's bounding box overlaps or is to the right of the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__overlaps_right=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly &> geom
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.. fieldlookup:: overlaps_above
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overlaps_above
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--------------
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*Availability*: PostGIS
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Tests if the geometry field's bounding box overlaps or is above the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__overlaps_above=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly |&> geom
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.. fieldlookup:: overlaps_below
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overlaps_below
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--------------
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*Availability*: PostGIS
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Tests if the geometry field's bounding box overlaps or is below the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__overlaps_below=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly &<| geom
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.. fieldlookup:: strictly_above
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strictly_above
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--------------
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*Availability*: PostGIS
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Tests if the geometry field's bounding box is strictly above the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__strictly_above=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly |>> geom
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.. fieldlookup:: strictly_below
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strictly_below
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--------------
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*Availability*: PostGIS
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Tests if the geometry field's bounding box is strictly below the lookup
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geometry's bounding box.
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Example::
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Zipcode.objects.filter(poly__strictly_below=geom)
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PostGIS equivalent::
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SELECT ... WHERE poly <<| geom
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.. _distance-lookups:
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Distance Lookups
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================
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*Availability*: PostGIS, Oracle, SpatiaLite
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For an overview on performing distance queries, please refer to
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the :ref:`distance queries introduction <distance-queries>`.
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Distance lookups take the following form::
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<field>__<distance lookup>=(<geometry>, <distance value>[, 'spheroid'])
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The value passed into a distance lookup is a tuple; the first two
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values are mandatory, and are the geometry to calculate distances to,
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and a distance value (either a number in units of the field or a
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:class:`~django.contrib.gis.measure.Distance` object). On every
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distance lookup but :lookup:`dwithin`, an optional
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third element, ``'spheroid'``, may be included to tell GeoDjango
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to use the more accurate spheroid distance calculation functions on
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fields with a geodetic coordinate system (e.g., ``ST_Distance_Spheroid``
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would be used instead of ``ST_Distance_Sphere``).
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.. fieldlookup:: distance_gt
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distance_gt
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-----------
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Returns models where the distance to the geometry field from the lookup
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geometry is greater than the given distance value.
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Example::
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Zipcode.objects.filter(poly__distance_gt=(geom, D(m=5)))
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========== ===============================================
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Backend SQL Equivalent
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========== ===============================================
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PostGIS ``ST_Distance(poly, geom) > 5``
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Oracle ``SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) > 5``
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SpatiaLite ``Distance(poly, geom) > 5``
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========== ===============================================
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.. fieldlookup:: distance_gte
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distance_gte
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------------
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Returns models where the distance to the geometry field from the lookup
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geometry is greater than or equal to the given distance value.
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Example::
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Zipcode.objects.filter(poly__distance_gte=(geom, D(m=5)))
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========== ================================================
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Backend SQL Equivalent
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========== ================================================
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PostGIS ``ST_Distance(poly, geom) >= 5``
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Oracle ``SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) >= 5``
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SpatiaLite ``Distance(poly, geom) >= 5``
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========== ================================================
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.. fieldlookup:: distance_lt
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distance_lt
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-----------
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Returns models where the distance to the geometry field from the lookup
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geometry is less than the given distance value.
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Example::
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Zipcode.objects.filter(poly__distance_lt=(geom, D(m=5)))
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========== ===============================================
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Backend SQL Equivalent
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========== ===============================================
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PostGIS ``ST_Distance(poly, geom) < 5``
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Oracle ``SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) < 5``
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SpatiaLite ``Distance(poly, geom) < 5``
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========== ===============================================
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.. fieldlookup:: distance_lte
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distance_lte
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------------
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Returns models where the distance to the geometry field from the lookup
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geometry is less than or equal to the given distance value.
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Example::
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Zipcode.objects.filter(poly__distance_lte=(geom, D(m=5)))
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========== ================================================
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Backend SQL Equivalent
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========== ================================================
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PostGIS ``ST_Distance(poly, geom) <= 5``
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Oracle ``SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) <= 5``
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SpatiaLite ``Distance(poly, geom) <= 5``
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========== ================================================
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.. fieldlookup:: dwithin
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dwithin
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-------
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Returns models where the distance to the geometry field from the lookup
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geometry are within the given distance from one another. Note that you can only
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provide :class:`~django.contrib.gis.measure.Distance` objects if the targeted
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geometries are in a projected system. For geographic geometries, you should use
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units of the geometry field (e.g. degrees for ``WGS84``) .
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Example::
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Zipcode.objects.filter(poly__dwithin=(geom, D(m=5)))
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========== ======================================
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Backend SQL Equivalent
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========== ======================================
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PostGIS ``ST_DWithin(poly, geom, 5)``
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Oracle ``SDO_WITHIN_DISTANCE(poly, geom, 5)``
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========== ======================================
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.. note::
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This lookup is not available on SpatiaLite.
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.. fieldlookup:: equals
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``GeoQuerySet`` Methods
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=======================
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``GeoQuerySet`` methods specify that a spatial operation be performed
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on each spatial operation on each geographic
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field in the queryset and store its output in a new attribute on the model
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(which is generally the name of the ``GeoQuerySet`` method).
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There are also aggregate ``GeoQuerySet`` methods which return a single value
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instead of a queryset. This section will describe the API and availability
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of every ``GeoQuerySet`` method available in GeoDjango.
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.. note::
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What methods are available depend on your spatial backend. See
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the :ref:`compatibility table <geoqueryset-method-compatibility>`
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for more details.
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With a few exceptions, the following keyword arguments may be used with all
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``GeoQuerySet`` methods:
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===================== =====================================================
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Keyword Argument Description
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===================== =====================================================
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``field_name`` By default, ``GeoQuerySet`` methods use the first
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geographic field encountered in the model. This
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keyword should be used to specify another
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geographic field (e.g., ``field_name='point2'``)
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when there are multiple geographic fields in a model.
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On PostGIS, the ``field_name`` keyword may also be
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used on geometry fields in models that are related
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via a ``ForeignKey`` relation (e.g.,
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``field_name='related__point'``).
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``model_att`` By default, ``GeoQuerySet`` methods typically attach
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their output in an attribute with the same name as
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the ``GeoQuerySet`` method. Setting this keyword
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with the desired attribute name will override this
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default behavior. For example,
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``qs = Zipcode.objects.centroid(model_att='c')`` will
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attach the centroid of the ``Zipcode`` geometry field
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in a ``c`` attribute on every model rather than in a
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``centroid`` attribute.
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This keyword is required if
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a method name clashes with an existing
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``GeoQuerySet`` method -- if you wanted to use the
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``area()`` method on model with a ``PolygonField``
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named ``area``, for example.
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===================== =====================================================
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Measurement
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-----------
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*Availability*: PostGIS, Oracle, SpatiaLite
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``area``
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~~~~~~~~
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.. method:: GeoQuerySet.area(**kwargs)
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Returns the area of the geographic field in an ``area`` attribute on
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each element of this GeoQuerySet.
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``distance``
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~~~~~~~~~~~~
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.. method:: GeoQuerySet.distance(geom, **kwargs)
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This method takes a geometry as a parameter, and attaches a ``distance``
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attribute to every model in the returned queryset that contains the
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distance (as a :class:`~django.contrib.gis.measure.Distance` object) to the given geometry.
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In the following example (taken from the `GeoDjango distance tests`__),
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the distance from the `Tasmanian`__ city of Hobart to every other
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:class:`PointField` in the ``AustraliaCity`` queryset is calculated::
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>>> pnt = AustraliaCity.objects.get(name='Hobart').point
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>>> for city in AustraliaCity.objects.distance(pnt): print(city.name, city.distance)
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Wollongong 990071.220408 m
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Shellharbour 972804.613941 m
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Thirroul 1002334.36351 m
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Mittagong 975691.632637 m
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Batemans Bay 834342.185561 m
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Canberra 598140.268959 m
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Melbourne 575337.765042 m
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Sydney 1056978.87363 m
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Hobart 0.0 m
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Adelaide 1162031.83522 m
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Hillsdale 1049200.46122 m
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.. note::
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Because the ``distance`` attribute is a
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:class:`~django.contrib.gis.measure.Distance` object, you can easily express
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the value in the units of your choice. For example, ``city.distance.mi`` is
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the distance value in miles and ``city.distance.km`` is the distance value
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in kilometers. See the :ref:`ref-measure` for usage details and the list of
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:ref:`supported_units`.
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__ https://github.com/django/django/blob/master/django/contrib/gis/tests/distapp/models.py
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__ http://en.wikipedia.org/wiki/Tasmania
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``length``
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~~~~~~~~~~
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.. method:: GeoQuerySet.length(**kwargs)
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Returns the length of the geometry field in a ``length`` attribute
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(a :class:`~django.contrib.gis.measure.Distance` object) on each model in
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the queryset.
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``perimeter``
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~~~~~~~~~~~~~
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.. method:: GeoQuerySet.perimeter(**kwargs)
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Returns the perimeter of the geometry field in a ``perimeter`` attribute
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(a :class:`~django.contrib.gis.measure.Distance` object) on each model in
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the queryset.
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Geometry Relationships
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----------------------
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The following methods take no arguments, and attach geometry objects
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each element of the :class:`GeoQuerySet` that is the result of relationship
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function evaluated on the geometry field.
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``centroid``
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~~~~~~~~~~~~
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.. method:: GeoQuerySet.centroid(**kwargs)
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*Availability*: PostGIS, Oracle, SpatiaLite
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Returns the ``centroid`` value for the geographic field in a ``centroid``
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attribute on each element of the ``GeoQuerySet``.
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``envelope``
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~~~~~~~~~~~~
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.. method:: GeoQuerySet.envelope(**kwargs)
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*Availability*: PostGIS, SpatiaLite
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Returns a geometry representing the bounding box of the geometry field in
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an ``envelope`` attribute on each element of the ``GeoQuerySet``.
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``point_on_surface``
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~~~~~~~~~~~~~~~~~~~~
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.. method:: GeoQuerySet.point_on_surface(**kwargs)
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*Availability*: PostGIS, Oracle, SpatiaLite
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Returns a Point geometry guaranteed to lie on the surface of the
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geometry field in a ``point_on_surface`` attribute on each element
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of the queryset; otherwise sets with None.
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Geometry Editors
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----------------
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``force_rhr``
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~~~~~~~~~~~~~
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.. method:: GeoQuerySet.force_rhr(**kwargs)
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*Availability*: PostGIS
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Returns a modified version of the polygon/multipolygon in which all
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of the vertices follow the Right-Hand-Rule, and attaches as a
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``force_rhr`` attribute on each element of the queryset.
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``reverse_geom``
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~~~~~~~~~~~~~~~~
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.. method:: GeoQuerySet.reverse_geom(**kwargs)
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*Availability*: PostGIS, Oracle
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Reverse the coordinate order of the geometry field, and attaches as a
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``reverse`` attribute on each element of the queryset.
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``scale``
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~~~~~~~~~
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.. method:: GeoQuerySet.scale(x, y, z=0.0, **kwargs)
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*Availability*: PostGIS, SpatiaLite
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``snap_to_grid``
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~~~~~~~~~~~~~~~~
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.. method:: GeoQuerySet.snap_to_grid(*args, **kwargs)
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Snap all points of the input geometry to the grid. How the
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geometry is snapped to the grid depends on how many numeric
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(either float, integer, or long) arguments are given.
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=================== =====================================================
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Number of Arguments Description
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=================== =====================================================
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1 A single size to snap bot the X and Y grids to.
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2 X and Y sizes to snap the grid to.
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4 X, Y sizes and the corresponding X, Y origins.
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=================== =====================================================
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``transform``
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~~~~~~~~~~~~~
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.. method:: GeoQuerySet.transform(srid=4326, **kwargs)
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*Availability*: PostGIS, Oracle, SpatiaLite
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The ``transform`` method transforms the geometry field of a model to the spatial
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reference system specified by the ``srid`` parameter. If no ``srid`` is given,
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then 4326 (WGS84) is used by default.
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.. note::
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Unlike other ``GeoQuerySet`` methods, ``transform`` stores its output
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"in-place". In other words, no new attribute for the transformed
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geometry is placed on the models.
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.. note::
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What spatial reference system an integer SRID corresponds to may depend on
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the spatial database used. In other words, the SRID numbers used for Oracle
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are not necessarily the same as those used by PostGIS.
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Example::
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>>> qs = Zipcode.objects.all().transform() # Transforms to WGS84
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>>> qs = Zipcode.objects.all().transform(32140) # Transforming to "NAD83 / Texas South Central"
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>>> print(qs[0].poly.srid)
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32140
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>>> print(qs[0].poly)
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POLYGON ((234055.1698884720099159 4937796.9232223574072123 ...
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``translate``
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~~~~~~~~~~~~~
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.. method:: GeoQuerySet.translate(x, y, z=0.0, **kwargs)
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*Availability*: PostGIS, SpatiaLite
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Translates the geometry field to a new location using the given numeric
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parameters as offsets.
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Geometry Operations
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-------------------
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*Availability*: PostGIS, Oracle, SpatiaLite
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The following methods all take a geometry as a parameter and attach a geometry
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to each element of the ``GeoQuerySet`` that is the result of the operation.
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``difference``
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~~~~~~~~~~~~~~
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.. method:: GeoQuerySet.difference(geom)
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Returns the spatial difference of the geographic field with the given
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geometry in a ``difference`` attribute on each element of the
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``GeoQuerySet``.
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``intersection``
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~~~~~~~~~~~~~~~~
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.. method:: GeoQuerySet.intersection(geom)
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Returns the spatial intersection of the geographic field with the
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given geometry in an ``intersection`` attribute on each element of the
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``GeoQuerySet``.
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``sym_difference``
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~~~~~~~~~~~~~~~~~~
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.. method:: GeoQuerySet.sym_difference(geom)
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Returns the symmetric difference of the geographic field with the
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given geometry in a ``sym_difference`` attribute on each element of the
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``GeoQuerySet``.
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``union``
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~~~~~~~~~
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.. method:: GeoQuerySet.union(geom)
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Returns the union of the geographic field with the given
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geometry in an ``union`` attribute on each element of the
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``GeoQuerySet``.
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Geometry Output
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---------------
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The following ``GeoQuerySet`` methods will return an attribute that has the value
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of the geometry field in each model converted to the requested output format.
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``geohash``
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~~~~~~~~~~~
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.. method:: GeoQuerySet.geohash(precision=20, **kwargs)
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Attaches a ``geohash`` attribute to every model the queryset
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containing the `GeoHash`__ representation of the geometry.
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__ http://geohash.org/
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``geojson``
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~~~~~~~~~~~
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.. method:: GeoQuerySet.geojson(**kwargs)
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*Availability*: PostGIS, SpatiaLite
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Attaches a ``geojson`` attribute to every model in the queryset that contains the
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`GeoJSON`__ representation of the geometry.
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===================== =====================================================
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Keyword Argument Description
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===================== =====================================================
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``precision`` It may be used to specify the number of significant
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digits for the coordinates in the GeoJSON
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representation -- the default value is 8.
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``crs`` Set this to ``True`` if you want the coordinate
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reference system to be included in the returned
|
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GeoJSON.
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``bbox`` Set this to ``True`` if you want the bounding box
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to be included in the returned GeoJSON.
|
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===================== =====================================================
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__ http://geojson.org/
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``gml``
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~~~~~~~
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.. method:: GeoQuerySet.gml(**kwargs)
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*Availability*: PostGIS, Oracle, SpatiaLite
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Attaches a ``gml`` attribute to every model in the queryset that contains the
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`Geographic Markup Language (GML)`__ representation of the geometry.
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Example::
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>>> qs = Zipcode.objects.all().gml()
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>>> print(qs[0].gml)
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<gml:Polygon srsName="EPSG:4326"><gml:OuterBoundaryIs>-147.78711,70.245363 ... -147.78711,70.245363</gml:OuterBoundaryIs></gml:Polygon>
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===================== =====================================================
|
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Keyword Argument Description
|
|
===================== =====================================================
|
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``precision`` This keyword is for PostGIS only. It may be used
|
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to specify the number of significant digits for the
|
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coordinates in the GML representation -- the default
|
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value is 8.
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``version`` This keyword is for PostGIS only. It may be used to
|
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specify the GML version used, and may only be values
|
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of 2 or 3. The default value is 2.
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===================== =====================================================
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__ http://en.wikipedia.org/wiki/Geography_Markup_Language
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``kml``
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~~~~~~~
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.. method:: GeoQuerySet.kml(**kwargs)
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*Availability*: PostGIS, SpatiaLite
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Attaches a ``kml`` attribute to every model in the queryset that contains the
|
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`Keyhole Markup Language (KML)`__ representation of the geometry fields. It
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should be noted that the contents of the KML are transformed to WGS84 if
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necessary.
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Example::
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>>> qs = Zipcode.objects.all().kml()
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>>> print(qs[0].kml)
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<Polygon><outerBoundaryIs><LinearRing><coordinates>-103.04135,36.217596,0 ... -103.04135,36.217596,0</coordinates></LinearRing></outerBoundaryIs></Polygon>
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|
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===================== =====================================================
|
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Keyword Argument Description
|
|
===================== =====================================================
|
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``precision`` This keyword may be used to specify the number of
|
|
significant digits for the coordinates in the KML
|
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representation -- the default value is 8.
|
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===================== =====================================================
|
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|
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__ https://developers.google.com/kml/documentation/
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``svg``
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~~~~~~~
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|
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.. method:: GeoQuerySet.svg(**kwargs)
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*Availability*: PostGIS, SpatiaLite
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Attaches a ``svg`` attribute to every model in the queryset that contains
|
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the `Scalable Vector Graphics (SVG)`__ path data of the geometry fields.
|
|
|
|
===================== =====================================================
|
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Keyword Argument Description
|
|
===================== =====================================================
|
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``relative`` If set to ``True``, the path data will be implemented
|
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in terms of relative moves. Defaults to ``False``,
|
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meaning that absolute moves are used instead.
|
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|
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``precision`` This keyword may be used to specify the number of
|
|
significant digits for the coordinates in the SVG
|
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representation -- the default value is 8.
|
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===================== =====================================================
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__ http://www.w3.org/Graphics/SVG/
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|
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Miscellaneous
|
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-------------
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``mem_size``
|
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~~~~~~~~~~~~
|
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|
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.. method:: GeoQuerySet.mem_size(**kwargs)
|
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|
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*Availability*: PostGIS
|
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|
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Returns the memory size (number of bytes) that the geometry field takes
|
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in a ``mem_size`` attribute on each element of the ``GeoQuerySet``.
|
|
|
|
``num_geom``
|
|
~~~~~~~~~~~~
|
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|
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.. method:: GeoQuerySet.num_geom(**kwargs)
|
|
|
|
*Availability*: PostGIS, Oracle, SpatiaLite
|
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|
|
Returns the number of geometries in a ``num_geom`` attribute on
|
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each element of the ``GeoQuerySet`` if the geometry field is a
|
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collection (e.g., a ``GEOMETRYCOLLECTION`` or ``MULTI*`` field);
|
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otherwise sets with ``None``.
|
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|
|
``num_points``
|
|
~~~~~~~~~~~~~~
|
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|
|
.. method:: GeoQuerySet.num_points(**kwargs)
|
|
|
|
*Availability*: PostGIS, Oracle, SpatiaLite
|
|
|
|
Returns the number of points in the first linestring in the
|
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geometry field in a ``num_points`` attribute on each element of
|
|
the ``GeoQuerySet``; otherwise sets with ``None``.
|
|
|
|
Spatial Aggregates
|
|
==================
|
|
|
|
Aggregate Methods
|
|
-----------------
|
|
|
|
``collect``
|
|
~~~~~~~~~~~
|
|
|
|
.. method:: GeoQuerySet.collect(**kwargs)
|
|
|
|
*Availability*: PostGIS, Spatialite (>=3.0)
|
|
|
|
Returns a ``GEOMETRYCOLLECTION`` or a ``MULTI`` geometry object from the geometry
|
|
column. This is analogous to a simplified version of the :meth:`GeoQuerySet.unionagg` method,
|
|
except it can be several orders of magnitude faster than performing a union because
|
|
it simply rolls up geometries into a collection or multi object, not caring about
|
|
dissolving boundaries.
|
|
|
|
``extent``
|
|
~~~~~~~~~~
|
|
|
|
.. method:: GeoQuerySet.extent(**kwargs)
|
|
|
|
*Availability*: PostGIS, Oracle, Spatialite (>=3.0)
|
|
|
|
Returns the extent of the ``GeoQuerySet`` as a four-tuple, comprising the
|
|
lower left coordinate and the upper right coordinate.
|
|
|
|
Example::
|
|
|
|
>>> qs = City.objects.filter(name__in=('Houston', 'Dallas'))
|
|
>>> print(qs.extent())
|
|
(-96.8016128540039, 29.7633724212646, -95.3631439208984, 32.782058715820)
|
|
|
|
``extent3d``
|
|
~~~~~~~~~~~~
|
|
|
|
.. method:: GeoQuerySet.extent3d(**kwargs)
|
|
|
|
*Availability*: PostGIS
|
|
|
|
Returns the 3D extent of the ``GeoQuerySet`` as a six-tuple, comprising
|
|
the lower left coordinate and upper right coordinate.
|
|
|
|
Example::
|
|
|
|
>>> qs = City.objects.filter(name__in=('Houston', 'Dallas'))
|
|
>>> print(qs.extent3d())
|
|
(-96.8016128540039, 29.7633724212646, 0, -95.3631439208984, 32.782058715820, 0)
|
|
|
|
``make_line``
|
|
~~~~~~~~~~~~~
|
|
|
|
.. method:: GeoQuerySet.make_line(**kwargs)
|
|
|
|
*Availability*: PostGIS
|
|
|
|
Returns a ``LineString`` constructed from the point field geometries in the
|
|
``GeoQuerySet``. Currently, ordering the queryset has no effect.
|
|
|
|
Example::
|
|
|
|
>>> print(City.objects.filter(name__in=('Houston', 'Dallas')).make_line())
|
|
LINESTRING (-95.3631510000000020 29.7633739999999989, -96.8016109999999941 32.7820570000000018)
|
|
|
|
``unionagg``
|
|
~~~~~~~~~~~~
|
|
|
|
.. method:: GeoQuerySet.unionagg(**kwargs)
|
|
|
|
*Availability*: PostGIS, Oracle, SpatiaLite
|
|
|
|
This method returns a :class:`~django.contrib.gis.geos.GEOSGeometry` object
|
|
comprising the union of every geometry in the queryset. Please note that
|
|
use of ``unionagg`` is processor intensive and may take a significant amount
|
|
of time on large querysets.
|
|
|
|
.. note::
|
|
|
|
If the computation time for using this method is too expensive,
|
|
consider using :meth:`GeoQuerySet.collect` instead.
|
|
|
|
Example::
|
|
|
|
>>> u = Zipcode.objects.unionagg() # This may take a long time.
|
|
>>> u = Zipcode.objects.filter(poly__within=bbox).unionagg() # A more sensible approach.
|
|
|
|
===================== =====================================================
|
|
Keyword Argument Description
|
|
===================== =====================================================
|
|
``tolerance`` This keyword is for Oracle only. It is for the
|
|
tolerance value used by the ``SDOAGGRTYPE``
|
|
procedure; the `Oracle documentation`__ has more
|
|
details.
|
|
===================== =====================================================
|
|
|
|
__ http://docs.oracle.com/html/B14255_01/sdo_intro.htm#sthref150
|
|
|
|
Aggregate Functions
|
|
-------------------
|
|
|
|
Example::
|
|
|
|
>>> from django.contrib.gis.db.models import Extent, Union
|
|
>>> WorldBorder.objects.aggregate(Extent('mpoly'), Union('mpoly'))
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``Collect``
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~~~~~~~~~~~
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.. class:: Collect(geo_field)
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Returns the same as the :meth:`GeoQuerySet.collect` aggregate method.
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``Extent``
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~~~~~~~~~~
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.. class:: Extent(geo_field)
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Returns the same as the :meth:`GeoQuerySet.extent` aggregate method.
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``Extent3D``
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~~~~~~~~~~~~
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.. class:: Extent3D(geo_field)
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Returns the same as the :meth:`GeoQuerySet.extent3d` aggregate method.
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``MakeLine``
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~~~~~~~~~~~~
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.. class:: MakeLine(geo_field)
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Returns the same as the :meth:`GeoQuerySet.make_line` aggregate method.
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``Union``
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~~~~~~~~~
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.. class:: Union(geo_field)
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Returns the same as the :meth:`GeoQuerySet.union` aggregate method.
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.. rubric:: Footnotes
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.. [#fnde9im] *See* `OpenGIS Simple Feature Specification For SQL <http://www.opengis.org/docs/99-049.pdf>`_, at Ch. 2.1.13.2, p. 2-13 (The Dimensionally Extended Nine-Intersection Model).
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.. [#fnsdorelate] *See* `SDO_RELATE documentation <http://docs.oracle.com/cd/B19306_01/appdev.102/b14255/sdo_operat.htm#sthref845>`_, from Ch. 11 of the Oracle Spatial User's Guide and Manual.
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.. [#fncovers] For an explanation of this routine, read `Quirks of the "Contains" Spatial Predicate <http://lin-ear-th-inking.blogspot.com/2007/06/subtleties-of-ogc-covers-spatial.html>`_ by Martin Davis (a PostGIS developer).
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.. [#fncontainsproperly] Refer to the PostGIS ``ST_ContainsProperly`` `documentation <http://postgis.refractions.net/documentation/manual-1.4/ST_ContainsProperly.html>`_ for more details.
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