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.. _ref-gis-model-api:
===================
GeoDjango Model API
===================
.. module:: django.contrib.gis.db.models
:synopsis: GeoDjango model and field API.
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`__ as our
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example::
from django.contrib.gis.db import models
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class Zipcode(models.Model):
code = models.CharField(max_length=5)
poly = models.PolygonField()
objects = models.GeoManager()
__ http://en.wikipedia.org/wiki/ZIP_code
Geometry Field Types
====================
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Each of the following geometry field types correspond with the
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OpenGIS Simple Features specification [#fnogc]_.
``GeometryField``
-----------------
.. class:: GeometryField
``PointField``
--------------
.. class:: PointField
``LineStringField``
-------------------
.. class:: LineStringField
``PolygonField``
----------------
.. class:: PolygonField
``MultiPointField``
-------------------
.. class:: MultiPointField
``MultiLineStringField``
------------------------
.. class:: MultiLineStringField
``MultiPolygonField``
---------------------
.. class:: MultiPolygonField
``GeometryCollectionField``
---------------------------
.. class:: GeometryCollectionField
.. _geometry-field-options:
Geometry Field Options
======================
In addition to the regular :ref:`common-model-field-options` available for
Django model fields, geometry fields have the following additional options.
All are optional.
``srid``
--------
.. attribute:: GeometryField.srid
Sets the SRID [#fnogcsrid]_ (Spatial Reference System Identity) of the geometry field to
the given value. Defaults to 4326 (also known as `WGS84`__, units are in degrees
of longitude and latitude).
__ http://en.wikipedia.org/wiki/WGS84
.. _selecting-an-srid:
Selecting an SRID
^^^^^^^^^^^^^^^^^
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
in the spatial database. [#fnsrid]_ Projection systems give the context to the
coordinates that specify a location. Although the details of `geodesy`__ are
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.
Most people are familiar with using latitude and longitude to reference a
location on the earth's surface. However, latitude and longitude are angles,
not distances. [#fnharvard]_ In other words, while the shortest path between two points on
a flat surface is a straight line, the shortest path between two points on a curved
surface (such as the earth) is an *arc* of a `great circle`__. [#fnthematic]_ Thus,
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additional computation is required to obtain distances in planar units (e.g.,
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kilometers and miles). Using a geographic coordinate system may introduce
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complications for the developer later on. For example, PostGIS versions 1.4
and below do not have the capability to perform distance calculations between
non-point geometries using geographic coordinate systems, e.g., constructing a
query to find all points within 5 miles of a county boundary stored as WGS84.
[#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
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
system specific to that region. Moreover, projected coordinate systems are
defined in Cartesian units (such as meters or feet), easing distance
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calculations.
.. note::
If you wish to peform arbitrary distance queries using non-point
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geometries in WGS84, consider upgrading to PostGIS 1.5. For
better performance, enable the :attr:`GeometryField.geography`
keyword so that :ref:`geography database 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 Web site covering the various
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projection systems used in the United States. Much of the U.S. spatial
data encountered will be in one of these coordinate systems rather than
in a geographic coordinate system such as WGS84.
__ http://en.wikipedia.org/wiki/Geodesy
__ http://en.wikipedia.org/wiki/Great_circle
__ http://www.spatialreference.org/ref/epsg/2796/
__ http://spatialreference.org/
__ http://welcome.warnercnr.colostate.edu/class_info/nr502/lg3/datums_coordinates/spcs.html
``spatial_index``
-----------------
.. attribute:: GeometryField.spatial_index
Defaults to ``True``. Creates a spatial index for the given geometry
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field.
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.. note::
This is different from the ``db_index`` field option because spatial
indexes are created in a different manner than regular database
indexes. Specifically, spatial indexes are typically created using
a variant of the R-Tree, while regular database indexes typically
use B-Trees.
``dim``
-------
.. versionadded:: 1.2
.. attribute:: GeometryField.dim
This option may be used for customizing the coordinate dimension of the
geometry field. By default, it is set to 2, for representing two-dimensional
geometries. For spatial backends that support it, it may be set to 3 for
three-dimensonal support.
.. note::
At this time 3D support requires that GEOS 3.1 be installed, and is
limited only to the PostGIS spatial backend.
``geography``
-------------
.. versionadded:: 1.2
.. 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
details.
.. note::
Geography support is limited only to PostGIS 1.5+, and will
force the SRID to be 4326.
.. _geography-type:
Geography Type
^^^^^^^^^^^^^^
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In PostGIS 1.5, the geography type was introduced -- it provides
native support for spatial features represented with geographic
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coordinates (e.g., WGS84 longitude/latitude). [#fngeography]_
Unlike the plane used by a geometry type, the geography type uses a spherical
representation of its data. Distance and measurement operations
performed on a geography column automatically employ great circle arc
calculations and return linear units. In other words, when ``ST_Distance``
is called on two geographies, a value in meters is returned (as opposed
to degrees if called on a geometry column in WGS84).
Because geography calculations involve more mathematics, only a subset of the
PostGIS spatial lookups are available for the geography type. Practically,
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:
* :lookup:`bboverlaps`
* :lookup:`coveredby`
* :lookup:`covers`
* :lookup:`intersects`
For more information, the PostGIS documentation contains a helpful section on
determining `when to use geography data type over geometry data type
<http://postgis.refractions.net/documentation/manual-1.5/ch04.html#PostGIS_GeographyVSGeometry>`_.
``GeoManager``
==============
.. currentmodule:: django.contrib.gis.db.models
.. class:: GeoManager
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In order to conduct geographic queries, each geographic model requires
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a ``GeoManager`` model manager. This manager allows for the proper SQL
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construction for geographic queries; thus, without it, all geographic filters
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will fail. It should also be noted that ``GeoManager`` is required even if the
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model does not have a geographic field itself, e.g., in the case of a
``ForeignKey`` relation to a model with a geographic field. For example,
if we had an ``Address`` model with a ``ForeignKey`` to our ``Zipcode``
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model::
from django.contrib.gis.db import models
from django.contrib.localflavor.us.models import USStateField
class Address(models.Model):
num = models.IntegerField()
street = models.CharField(max_length=100)
city = models.CharField(max_length=100)
state = USStateField()
zipcode = models.ForeignKey(Zipcode)
objects = models.GeoManager()
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The geographic manager is needed to do spatial queries on related ``Zipcode`` objects,
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for example::
qs = Address.objects.filter(zipcode__poly__contains='POINT(-104.590948 38.319914)')
.. rubric:: Footnotes
.. [#fnogc] OpenGIS Consortium, Inc., `Simple Feature Specification For SQL <http://www.opengis.org/docs/99-049.pdf>`_, Document 99-049 (May 5, 1999).
.. [#fnogcsrid] *See id.* at Ch. 2.3.8, p. 39 (Geometry Values and Spatial Reference Systems).
.. [#fnsrid] Typically, SRID integer corresponds to an EPSG (`European Petroleum Survey Group <http://www.epsg.org>`_) identifier. However, it may also be associated with custom projections defined in spatial database's spatial reference systems table.
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.. [#fnharvard] Harvard Graduate School of Design, `An Overview of Geodesy and Geographic Referencing Systems <http://www.gsd.harvard.edu/gis/manual/projections/fundamentals/>`_. This is an excellent resource for an overview of principles relating to geographic and Cartesian coordinate systems.
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.. [#fnthematic] Terry A. Slocum, Robert B. McMaster, Fritz C. Kessler, & Hugh H. Howard, *Thematic Cartography and Geographic Visualization* (Prentice Hall, 2nd edition), at Ch. 7.1.3.
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.. [#fndist] This limitation does not apply to PostGIS 1.5. It should be noted that even in previous versions of PostGIS, this isn't impossible using GeoDjango; you could for example, take a known point in a projected coordinate system, buffer it to the appropriate radius, and then perform an intersection operation with the buffer transformed to the geographic coordinate system.
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.. [#fngeography] Please refer to the `PostGIS Geography Type <http://postgis.refractions.net/documentation/manual-1.5/ch04.html#PostGIS_Geography>`_ documentation for more details.