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272 lines
9.4 KiB
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272 lines
9.4 KiB
Plaintext
===================
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GeoDjango Model API
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===================
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.. module:: django.contrib.gis.db.models
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:synopsis: GeoDjango model and field API.
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This document explores the details of the GeoDjango Model API. Throughout this
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section, we'll be using the following geographic model of a `ZIP code`__ and
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of a `Digital Elevation Model`__ as our examples::
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from django.contrib.gis.db import models
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class Zipcode(models.Model):
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code = models.CharField(max_length=5)
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poly = models.PolygonField()
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class Elevation(models.Model):
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name = models.CharField(max_length=100)
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rast = models.RasterField()
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__ https://en.wikipedia.org/wiki/ZIP_code
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__ https://en.wikipedia.org/wiki/Digital_elevation_model
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Spatial Field Types
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===================
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Spatial fields consist of a series of geometry field types and one raster field
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type. Each of the geometry field types correspond to the OpenGIS Simple
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Features specification [#fnogc]_. There is no such standard for raster data.
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``GeometryField``
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-----------------
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.. class:: GeometryField
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The base class for geometry fields.
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``PointField``
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--------------
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.. class:: PointField
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Stores a :class:`~django.contrib.gis.geos.Point`.
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``LineStringField``
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-------------------
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.. class:: LineStringField
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Stores a :class:`~django.contrib.gis.geos.LineString`.
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``PolygonField``
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----------------
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.. class:: PolygonField
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Stores a :class:`~django.contrib.gis.geos.Polygon`.
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``MultiPointField``
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-------------------
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.. class:: MultiPointField
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Stores a :class:`~django.contrib.gis.geos.MultiPoint`.
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``MultiLineStringField``
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------------------------
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.. class:: MultiLineStringField
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Stores a :class:`~django.contrib.gis.geos.MultiLineString`.
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``MultiPolygonField``
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---------------------
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.. class:: MultiPolygonField
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Stores a :class:`~django.contrib.gis.geos.MultiPolygon`.
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``GeometryCollectionField``
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---------------------------
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.. class:: GeometryCollectionField
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Stores a :class:`~django.contrib.gis.geos.GeometryCollection`.
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``RasterField``
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---------------
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.. class:: RasterField
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Stores a :class:`~django.contrib.gis.gdal.GDALRaster`.
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``RasterField`` is currently only implemented for the PostGIS backend.
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Spatial Field Options
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=====================
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In addition to the regular :ref:`common-model-field-options` available for
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Django model fields, spatial fields have the following additional options.
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All are optional.
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``srid``
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--------
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.. attribute:: BaseSpatialField.srid
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Sets the SRID [#fnogcsrid]_ (Spatial Reference System Identity) of the geometry field to
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the given value. Defaults to 4326 (also known as `WGS84`__, units are in degrees
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of longitude and latitude).
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__ https://en.wikipedia.org/wiki/WGS84
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.. _selecting-an-srid:
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Selecting an SRID
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~~~~~~~~~~~~~~~~~
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Choosing an appropriate SRID for your model is an important decision that the
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developer should consider carefully. The SRID is an integer specifier that
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corresponds to the projection system that will be used to interpret the data
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in the spatial database. [#fnsrid]_ Projection systems give the context to the
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coordinates that specify a location. Although the details of `geodesy`__ are
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beyond the scope of this documentation, the general problem is that the earth
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is spherical and representations of the earth (e.g., paper maps, Web maps)
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are not.
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Most people are familiar with using latitude and longitude to reference a
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location on the earth's surface. However, latitude and longitude are angles,
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not distances. In other words, while the shortest path between two points on
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a flat surface is a straight line, the shortest path between two points on a curved
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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, SpatiaLite does not have
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the capability to perform distance calculations between geometries using
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geographic coordinate systems, e.g. constructing a query to find all points
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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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for region-specific applications, e.g., if you know that your database will
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only cover geometries in `North Kansas`__, then you may consider using projection
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system specific to that region. Moreover, projected coordinate systems are
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defined in Cartesian units (such as meters or feet), easing distance
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calculations.
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.. note::
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If you wish to perform arbitrary distance queries using non-point
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geometries in WGS84 in PostGIS and you want decent performance, enable the
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:attr:`GeometryField.geography` keyword so that :ref:`geography database
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type <geography-type>` is used instead.
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Additional Resources:
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* `spatialreference.org`__: A Django-powered database of spatial reference
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systems.
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* `The State Plane Coordinate System`__: A website covering the various
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projection systems used in the United States. Much of the U.S. spatial
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data encountered will be in one of these coordinate systems rather than
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in a geographic coordinate system such as WGS84.
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__ https://en.wikipedia.org/wiki/Geodesy
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__ https://en.wikipedia.org/wiki/Great_circle
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__ https://www.spatialreference.org/ref/epsg/2796/
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__ https://spatialreference.org/
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__ https://web.archive.org/web/20080302095452/http://welcome.warnercnr.colostate.edu/class_info/nr502/lg3/datums_coordinates/spcs.html
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``spatial_index``
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-----------------
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.. attribute:: BaseSpatialField.spatial_index
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Defaults to ``True``. Creates a spatial index for the given geometry
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field.
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.. note::
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This is different from the ``db_index`` field option because spatial
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indexes are created in a different manner than regular database
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indexes. Specifically, spatial indexes are typically created using
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a variant of the R-Tree, while regular database indexes typically
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use B-Trees.
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.. _geometry-field-options:
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Geometry Field Options
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======================
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There are additional options available for Geometry fields. All the following
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options are optional.
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``dim``
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-------
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.. attribute:: GeometryField.dim
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This option may be used for customizing the coordinate dimension of the
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geometry field. By default, it is set to 2, for representing two-dimensional
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geometries. For spatial backends that support it, it may be set to 3 for
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three-dimensional support.
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.. note::
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At this time 3D support is limited to the PostGIS and SpatiaLite backends.
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``geography``
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-------------
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.. attribute:: GeometryField.geography
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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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.. note::
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Geography support is limited to PostGIS and will force the SRID to be 4326.
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.. _geography-type:
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Geography Type
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~~~~~~~~~~~~~~
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The geography type provides native support for spatial features represented
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with geographic coordinates (e.g., WGS84 longitude/latitude). [#fngeography]_
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Unlike the plane used by a geometry type, the geography type uses a spherical
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representation of its data. Distance and measurement operations
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performed on a geography column automatically employ great circle arc
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calculations and return linear units. In other words, when ``ST_Distance``
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is called on two geographies, a value in meters is returned (as opposed
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to degrees if called on a geometry column in WGS84).
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Because geography calculations involve more mathematics, only a subset of the
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PostGIS spatial lookups are available for the geography type. Practically,
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this means that in addition to the :ref:`distance lookups <distance-lookups>`
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only the following additional :ref:`spatial lookups <spatial-lookups>` are
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available for geography columns:
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* :lookup:`bboverlaps`
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* :lookup:`coveredby`
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* :lookup:`covers`
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* :lookup:`intersects`
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If you need to use a spatial lookup or aggregate that doesn't support the
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geography type as input, you can use the
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:class:`~django.db.models.functions.Cast` database function to convert the
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geography column to a geometry type in the query::
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from django.contrib.gis.db.models import PointField
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from django.db.models.functions import Cast
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Zipcode.objects.annotate(
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geom=Cast('geography_field', PointField())
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).filter(geom__within=poly)
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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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<https://postgis.net/docs/using_postgis_dbmanagement.html#PostGIS_GeographyVSGeometry>`_.
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.. rubric:: Footnotes
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.. [#fnogc] OpenGIS Consortium, Inc., `Simple Feature Specification For SQL <https://www.opengeospatial.org/standards/sfs>`_.
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.. [#fnogcsrid] *See id.* at Ch. 2.3.8, p. 39 (Geometry Values and Spatial Reference Systems).
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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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.. [#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 limitation does not apply to PostGIS.
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.. [#fngeography] Please refer to the `PostGIS Geography Type <https://postgis.net/docs/using_postgis_dbmanagement.html#PostGIS_Geography>`_ documentation for more details.
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