GeoQuerySet API Reference¶

class GeoQuerySet([model=None])¶

Spatial Lookups¶

Just like when using the the QuerySet API, interaction with GeoQuerySet by chaining filters. Instead of the regular Django Field lookups, the spatial lookups in this section are available for GeometryField.

For an introduction, see the spatial lookups introduction. For an overview of what lookups are compatible with a particular spatial backend, refer to the spatial lookup compatibility table.

bbcontains¶

Availability: PostGIS, MySQL, SpatiaLite

Tests if the geometry field’s bounding box completely contains the lookup geometry’s bounding box.

Example:

Zipcode.objects.filter(poly__bbcontains=geom)

Backend	SQL Equivalent
PostGIS	`poly ~ geom`
MySQL	`MBRContains(poly, geom)`
SpatiaLite	`MbrContains(poly, geom)`

bboverlaps¶

Availability: PostGIS, MySQL, SpatiaLite

Tests if the geometry field's bounding box overlaps the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__bboverlaps=geom)

Backend	SQL Equivalent
PostGIS	`poly && geom`
MySQL	`MBROverlaps(poly, geom)`
SpatiaLite	`MbrOverlaps(poly, geom)`

contained¶

Availability: PostGIS, MySQL, SpatiaLite

Tests if the geometry field's bounding box is completely contained by the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__contained=geom)

Backend	SQL Equivalent
PostGIS	`poly @ geom`
MySQL	`MBRWithin(poly, geom)`
SpatiaLite	`MbrWithin(poly, geom)`

contains¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

Tests if the geometry field spatially contains the lookup geometry.

Example:

Zipcode.objects.filter(poly__contains=geom)

Backend	SQL Equivalent
PostGIS	`ST_Contains(poly, geom)`
Oracle	`SDO_CONTAINS(poly, geom)`
MySQL	`MBRContains(poly, geom)`
SpatiaLite	`Contains(poly, geom)`

contains_properly¶

New in Django 1.2: Please, see the release notes

Availability: PostGIS

Returns true if the lookup geometry intersects the interior of the geometry field, but not the boundary (or exterior). [4]

Note

Requires PostGIS 1.4 and above.

Example:

Zipcode.objects.filter(poly__contains_properly=geom)

Backend	SQL Equivalent
PostGIS	`ST_ContainsProperly(poly, geom)`

coveredby¶

Availability: PostGIS, Oracle

Tests if no point in the geometry field is outside the lookup geometry. [3]

Example:

Zipcode.objects.filter(poly__coveredby=geom)

Backend	SQL Equivalent
PostGIS	`ST_CoveredBy(poly, geom)`
Oracle	`SDO_COVEREDBY(poly, geom)`

covers¶

Availability: PostGIS, Oracle

Tests if no point in the lookup geometry is outside the geometry field. [3]

Example:

Zipcode.objects.filter(poly__covers=geom)

Backend	SQL Equivalent
PostGIS	`ST_Covers(poly, geom)`
Oracle	`SDO_COVERS(poly, geom)`

crosses¶

Availability: PostGIS, SpatiaLite

Tests if the geometry field spatially crosses the lookup geometry.

Example:

Zipcode.objects.filter(poly__crosses=geom)

Backend	SQL Equivalent
PostGIS	`ST_Crosses(poly, geom)`
SpatiaLite	`Crosses(poly, geom)`

disjoint¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

Tests if the geometry field is spatially disjoint from the lookup geometry.

Example:

Zipcode.objects.filter(poly__disjoint=geom)

Backend	SQL Equivalent
PostGIS	`ST_Disjoint(poly, geom)`
Oracle	`SDO_GEOM.RELATE(poly, 'DISJOINT', geom, 0.05)`
MySQL	`MBRDisjoint(poly, geom)`
SpatiaLite	`Disjoint(poly, geom)`

equals¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

exact, same_as¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

intersects¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

Tests if the geometry field spatially intersects the lookup geometry.

Example:

Zipcode.objects.filter(poly__intersects=geom)

Backend	SQL Equivalent
PostGIS	`ST_Intersects(poly, geom)`
Oracle	`SDO_OVERLAPBDYINTERSECT(poly, geom)`
MySQL	`MBRIntersects(poly, geom)`
SpatiaLite	`Intersects(poly, geom)`

overlaps¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

relate¶

Availability: PostGIS, Oracle, SpatiaLite

Tests if the geometry field is spatially related to the the lookup geometry by the values given in the given pattern. This lookup requires a tuple parameter, (geom, pattern); the form of pattern will depend on the spatial backend:

PostGIS & SpatiaLite¶

On these spatial backends the intersection pattern is a string comprising nine characters, which define intersections between the interior, boundary, and exterior of the geometry field and the lookup geometry. The intersection pattern matrix may only use the following characters: 1, 2, T, F, or *. This lookup type allows users to "fine tune" a specific geometric relationship consistent with the DE-9IM model. [1]

Example:

# A tuple lookup parameter is used to specify the geometry and
# the intersection pattern (the pattern here is for 'contains').
Zipcode.objects.filter(poly__relate(geom, 'T*T***FF*'))

PostGIS SQL equivalent:

SELECT ... WHERE ST_Relate(poly, geom, 'T*T***FF*')

SpatiaLite SQL equivalent:

SELECT ... WHERE Relate(poly, geom, 'T*T***FF*')

Oracle¶

Here the relation pattern is compreised at least one of the nine relation strings: TOUCH, OVERLAPBDYDISJOINT, OVERLAPBDYINTERSECT, EQUAL, INSIDE, COVEREDBY, CONTAINS, COVERS, ON, and ANYINTERACT. Multiple strings may be combined with the logical Boolean operator OR, for example, 'inside+touch'. [2] The relation strings are case-insensitive.

Example:

Zipcode.objects.filter(poly__relate(geom, 'anyinteract'))

Oracle SQL equivalent:

SELECT ... WHERE SDO_RELATE(poly, geom, 'anyinteract')

touches¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

Tests if the geometry field spatially touches the lookup geometry.

Example:

Zipcode.objects.filter(poly__touches=geom)

Backend	SQL Equivalent
PostGIS	`ST_Touches(poly, geom)`
MySQL	`MBRTouches(poly, geom)`
Oracle	`SDO_TOUCH(poly, geom)`
SpatiaLite	`Touches(poly, geom)`

within¶

Availability: PostGIS, Oracle, MySQL, SpatiaLite

Tests if the geometry field is spatially within the lookup geometry.

Example:

Zipcode.objects.filter(poly__within=geom)

Backend	SQL Equivalent
PostGIS	`ST_Within(poly, geom)`
MySQL	`MBRWithin(poly, geom)`
Oracle	`SDO_INSIDE(poly, geom)`
SpatiaLite	`Within(poly, geom)`

left¶

Availability: PostGIS

Tests if the geometry field's bounding box is strictly to the left of the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__left=geom)

PostGIS equivalent:

SELECT ... WHERE poly << geom

right¶

Availability: PostGIS

Tests if the geometry field's bounding box is strictly to the right of the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__right=geom)

PostGIS equivalent:

SELECT ... WHERE poly >> geom

overlaps_left¶

Availability: PostGIS

Tests if the geometry field's bounding box overlaps or is to the left of the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__overlaps_left=geom)

PostGIS equivalent:

SELECT ... WHERE poly &< geom

overlaps_right¶

Availability: PostGIS

Tests if the geometry field's bounding box overlaps or is to the right of the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__overlaps_right=geom)

PostGIS equivalent:

SELECT ... WHERE poly &> geom

overlaps_above¶

Availability: PostGIS

Tests if the geometry field's bounding box overlaps or is above the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__overlaps_above=geom)

PostGIS equivalent:

SELECT ... WHERE poly |&> geom

overlaps_below¶

Availability: PostGIS

Tests if the geometry field's bounding box overlaps or is below the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__overlaps_below=geom)

PostGIS equivalent:

SELECT ... WHERE poly &<| geom

strictly_above¶

Availability: PostGIS

Tests if the geometry field's bounding box is strictly above the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__strictly_above=geom)

PostGIS equivalent:

SELECT ... WHERE poly |>> geom

strictly_below¶

Availability: PostGIS

Tests if the geometry field's bounding box is strictly above the lookup geometry's bounding box.

Example:

Zipcode.objects.filter(poly__strictly_above=geom)

PostGIS equivalent:

SELECT ... WHERE poly |>> geom

Distance Lookups¶

Availability: PostGIS, Oracle, SpatiaLite

For an overview on performing distance queries, please refer to the distance queries introduction.

Distance lookups take the following form:

<field>__<distance lookup>=(<geometry>, <distance value>[, 'spheroid'])

The value passed into a distance lookup is a tuple; the first two values are mandatory, and are the geometry to calculate distances to, and a distance value (either a number in units of the field or a Distance object). On every distance lookup but dwithin, an optional third element, 'spheroid', may be included to tell GeoDjango to use the more accurate spheroid distance calculation functions on fields with a geodetic coordinate system (e.g., ST_Distance_Spheroid would be used instead of ST_Distance_Sphere).

distance_gt¶

Returns models where the distance to the geometry field from the lookup geometry is greater than the given distance value.

Example:

Zipcode.objects.filter(poly__distance_gt=(geom, D(m=5)))

Backend	SQL Equivalent
PostGIS	`ST_Distance(poly, geom) > 5`
Oracle	`SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) > 5`
SpatiaLite	`Distance(poly, geom) > 5`

distance_gte¶

Returns models where the distance to the geometry field from the lookup geometry is greater than or equal to the given distance value.

Example:

Zipcode.objects.filter(poly__distance_gte=(geom, D(m=5)))

Backend	SQL Equivalent
PostGIS	`ST_Distance(poly, geom) >= 5`
Oracle	`SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) >= 5`
SpatiaLite	`Distance(poly, geom) >= 5`

distance_lt¶

Returns models where the distance to the geometry field from the lookup geometry is less than the given distance value.

Example:

Zipcode.objects.filter(poly__distance_lt=(geom, D(m=5)))

Backend	SQL Equivalent
PostGIS	`ST_Distance(poly, geom) < 5`
Oracle	`SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) < 5`
SpatiaLite	`Distance(poly, geom) < 5`

distance_lte¶

Returns models where the distance to the geometry field from the lookup geometry is less than or equal to the given distance value.

Example:

Zipcode.objects.filter(poly__distance_lte=(geom, D(m=5)))

Backend	SQL Equivalent
PostGIS	`ST_Distance(poly, geom) <= 5`
Oracle	`SDO_GEOM.SDO_DISTANCE(poly, geom, 0.05) <= 5`
SpatiaLite	`Distance(poly, geom) <= 5`

dwithin¶

Returns models where the distance to the geometry field from the lookup geometry are within the given distance from one another.

Example:

Zipcode.objects.filter(poly__dwithin=(geom, D(m=5)))

Backend	SQL Equivalent
PostGIS	`ST_DWithin(poly, geom, 5)`
Oracle	`SDO_WITHIN_DISTANCE(poly, geom, 5)`

Note

This lookup is not available on SpatiaLite.

`GeoQuerySet` Methods¶

GeoQuerySet methods specify that a spatial operation be performed on each patial operation on each geographic field in the queryset and store its output in a new attribute on the model (which is generally the name of the GeoQuerySet method).

There are also aggregate GeoQuerySet methods which return a single value instead of a queryset. This section will describe the API and availability of every GeoQuerySet method available in GeoDjango.

Note

What methods are available depend on your spatial backend. See the compatibility table for more details.

With a few exceptions, the following keyword arguments may be used with all GeoQuerySet methods:

Keyword Argument Description

field_name

By default, GeoQuerySet methods use the first geographic field encountered in the model. This keyword should be used to specify another geographic field (e.g., field_name='point2') when there are multiple geographic fields in a model.

On PostGIS, the field_name keyword may also be used on geometry fields in models that are related via a ForeignKey relation (e.g., field_name='related__point').

model_att

By default, GeoQuerySet methods typically attach their output in an attribute with the same name as the GeoQuerySet method. Setting this keyword with the desired attribute name will override this default behavior. For example, qs = Zipcode.objects.centroid(model_att='c') will attach the centroid of the Zipcode geometry field in a c attribute on every model rather than in a centroid attribute.

This keyword is required if a method name clashes with an existing GeoQuerySet method -- if you wanted to use the area() method on model with a PolygonField named area, for example.

Measurement¶

Availability: PostGIS, Oracle, SpatiaLite

`area`¶

GeoQuerySet.area(**kwargs)¶

Returns the area of the geographic field in an area attribute on each element of this GeoQuerySet.

`distance`¶

GeoQuerySet.distance(geom, **kwargs)¶

This method takes a geometry as a parameter, and attaches a distance attribute to every model in the returned queryset that contains the distance (as a Distance object) to the given geometry.

In the following example (taken from the GeoDjango distance tests), the distance from the Tasmanian city of Hobart to every other PointField in the AustraliaCity queryset is calculated:

>>> pnt = AustraliaCity.objects.get(name='Hobart').point
>>> for city in AustraliaCity.objects.distance(pnt): print city.name, city.distance
Wollongong 990071.220408 m
Shellharbour 972804.613941 m
Thirroul 1002334.36351 m
Mittagong 975691.632637 m
Batemans Bay 834342.185561 m
Canberra 598140.268959 m
Melbourne 575337.765042 m
Sydney 1056978.87363 m
Hobart 0.0 m
Adelaide 1162031.83522 m
Hillsdale 1049200.46122 m

Note

Because the distance attribute is a Distance object, you can easily express the value in the units of your choice. For example, city.distance.mi is the distance value in miles and city.distance.km is the distance value in kilometers. See the Measurement Objects for usage details and the list of Supported units.

`length`¶

GeoQuerySet.length(**kwargs)¶

Returns the length of the geometry field in a length attribute (a Distance object) on each model in the queryset.

`perimeter`¶

GeoQuerySet.perimeter(**kwargs)¶

Returns the perimeter of the geometry field in a perimeter attribute (a Distance object) on each model in the queryset.

Geometry Relationships¶

The following methods take no arguments, and attach geometry objects each element of the GeoQuerySet that is the result of relationship function evaluated on the the geometry field.

`centroid`¶

GeoQuerySet.centroid(**kwargs)¶

Availability: PostGIS, Oracle, SpatiaLite

Returns the centroid value for the geographic field in a centroid attribute on each element of the GeoQuerySet.

`envelope`¶

GeoQuerySet.envelope(**kwargs)¶

Availability: PostGIS, SpatiaLite

Returns a geometry representing the bounding box of the geometry field in an envelope attribute on each element of the GeoQuerySet.

`point_on_surface`¶

GeoQuerySet.point_on_surface(**kwargs)¶

Availability: PostGIS, Oracle, SpatiaLite

Returns a Point geometry guaranteed to lie on the surface of the geometry field in a point_on_surface attribute on each element of the queryset; otherwise sets with None.

Geometry Editors¶

`force_rhr`¶

GeoQuerySet.force_rhr(**kwargs)¶

New in Django 1.2: Please, see the release notes

Availability: PostGIS

Returns a modified version of the polygon/multipolygon in which all of the vertices follow the Right-Hand-Rule, and attaches as a force_rhr attribute on each element of the queryset.

`reverse_geom`¶

GeoQuerySet.reverse_geom(**kwargs)¶

New in Django 1.2: Please, see the release notes

Availability: PostGIS, Oracle

Reverse the coordinate order of the geometry field, and attaches as a reverse attribute on each element of the queryset.

`scale`¶

GeoQuerySet.scale(x, y, z=0.0, **kwargs)¶

Availability: PostGIS, SpatiaLite

`snap_to_grid`¶

GeoQuerySet.snap_to_grid(*args, **kwargs)¶

New in Django 1.1: Please, see the release notes

Snap all points of the input geometry to the grid. How the geometry is snapped to the grid depends on how many numeric (either float, integer, or long) arguments are given.

Number of Arguments	Description
1	A single size to snap bot the X and Y grids to.
2	X and Y sizes to snap the grid to.
4	X, Y sizes and the corresponding X, Y origins.

`transform`¶

GeoQuerySet.transform(srid=4326, **kwargs)¶

Availability: PostGIS, Oracle, SpatiaLite

The transform method transforms the geometry field of a model to the spatial reference system specified by the srid parameter. If no srid is given, then 4326 (WGS84) is used by default.

Note

Unlike other GeoQuerySet methods, transform stores its output "in-place". In other words, no new attribute for the transformed geometry is placed on the models.

Note

What spatial reference system an integer SRID corresponds to may depend on the spatial database used. In other words, the SRID numbers used for Oracle are not necessarily the same as those used by PostGIS.

Example:

>>> qs = Zipcode.objects.all().transform() # Transforms to WGS84
>>> qs = Zipcode.objects.all().transform(32140) # Transforming to "NAD83 / Texas South Central"
>>> print qs[0].poly.srid
32140
>>> print qs[0].poly
POLYGON ((234055.1698884720099159 4937796.9232223574072123 ...

`translate`¶

GeoQuerySet.translate(x, y, z=0.0, **kwargs)¶

Availability: PostGIS, SpatiaLite

Translates the geometry field to a new location using the given numeric parameters as offsets.

Geometry Operations¶

Availability: PostGIS, Oracle, SpatiaLite

The following methods all take a geometry as a parameter and attach a geometry to each element of the GeoQuerySet that is the result of the operation.

`difference`¶

GeoQuerySet.difference(geom)¶

Returns the spatial difference of the geographic field with the given geometry in a difference attribute on each element of the GeoQuerySet.

`intersection`¶

GeoQuerySet.intersection(geom)¶

Returns the spatial intersection of the geographic field with the given geometry in an intersection attribute on each element of the GeoQuerySet.

`sym_difference`¶

GeoQuerySet.sym_difference(geom)¶

Returns the symmetric difference of the geographic field with the given geometry in a sym_difference attribute on each element of the GeoQuerySet.

`union`¶

GeoQuerySet.union(geom)¶

Returns the union of the geographic field with the given geometry in an union attribute on each element of the GeoQuerySet.

Geometry Output¶

The following GeoQuerySet methods will return an attribute that has the value of the geometry field in each model converted to the requested output format.

`geohash`¶

GeoQuerySet.geohash(preceision=20, **kwargs)¶

New in Django 1.2: Please, see the release notes

Attaches a geohash attribute to every model the the queryset containing the GeoHash representation of the geometry.

`geojson`¶

GeoQuerySet.geojson(**kwargs)¶

New in Django 1.1: Please, see the release notes

Availability: PostGIS

Attaches a geojson attribute to every model in the queryset that contains the GeoJSON representation of the geometry.

Keyword Argument	Description
`precision`	It may be used to specify the number of significant digits for the coordinates in the GeoJSON representation -- the default value is 8.
`crs`	Set this to `True` if you want the coordinate reference system to be included in the returned GeoJSON.
`bbox`	Set this to `True` if you want the bounding box to be included in the returned GeoJSON.

`gml`¶

GeoQuerySet.gml(**kwargs)¶

Availability: PostGIS, Oracle

Attaches a gml attribute to every model in the queryset that contains the Geographic Markup Language (GML) representation of the geometry.

Example:

>>> qs = Zipcode.objects.all().gml()
>>> print qs[0].gml
<gml:Polygon srsName="EPSG:4326"><gml:OuterBoundaryIs>-147.78711,70.245363 ...  -147.78711,70.245363</gml:OuterBoundaryIs></gml:Polygon>

Keyword Argument	Description
`precision`	This keyword is for PostGIS only. It may be used to specify the number of significant digits for the coordinates in the GML representation -- the default value is 8.
`version`	This keyword is for PostGIS only. It may be used to specify the GML version used, and may only be values of 2 or 3. The default value is 2.

`kml`¶

GeoQuerySet.kml(**kwargs)¶

Availability: PostGIS

Attaches a kml attribute to every model in the queryset that contains the Keyhole Markup Language (KML) representation of the geometry fields. It should be noted that the contents of the KML are transformed to WGS84 if necessary.

Example:

>>> qs = Zipcode.objects.all().kml()
>>> print qs[0].kml
<Polygon><outerBoundaryIs><LinearRing><coordinates>-103.04135,36.217596,0 ... -103.04135,36.217596,0</coordinates></LinearRing></outerBoundaryIs></Polygon>

Keyword Argument	Description
`precision`	This keyword may be used to specify the number of significant digits for the coordinates in the KML representation -- the default value is 8.

`svg`¶

GeoQuerySet.svg(**kwargs)¶

Availability: PostGIS, SpatiaLite

Attaches a svg attribute to every model in the queryset that contains the Scalable Vector Graphics (SVG) path data of the geometry fields.

Keyword Argument	Description
`relative`	If set to `True`, the path data will be implemented in terms of relative moves. Defaults to `False`, meaning that absolute moves are used instead.
`precision`	This keyword may be used to specify the number of significant digits for the coordinates in the SVG representation -- the default value is 8.

Miscellaneous¶

`mem_size`¶

GeoQuerySet.mem_size(**kwargs)¶

Availability: PostGIS

Returns the memory size (number of bytes) that the geometry field takes in a mem_size attribute on each element of the GeoQuerySet.

`num_geom`¶

GeoQuerySet.num_geom(**kwargs)¶

Availability: PostGIS, Oracle, SpatiaLite

Returns the number of geometries in a num_geom attribute on each element of the GeoQuerySet if the geometry field is a collection (e.g., a GEOMETRYCOLLECTION or MULTI* field); otherwise sets with None.

`num_points`¶

GeoQuerySet.num_points(**kwargs)¶

Availability: PostGIS, Oracle, SpatiaLite

Returns the number of points in the first linestring in the geometry field in a num_points attribute on each element of the GeoQuerySet; otherwise sets with None.

Spatial Aggregates¶

New in Django 1.1: Please, see the release notes

Aggregate Methods¶

`collect`¶

GeoQuerySet.collect(**kwargs)¶

New in Django 1.1: Please, see the release notes

Availability: PostGIS

Returns a GEOMETRYCOLLECTION or a MULTI geometry object from the geometry column. This is analagous to a simplified version of the GeoQuerySet.unionagg() method, except it can be several orders of magnitude faster than peforming a union because it simply rolls up geometries into a collection or multi object, not caring about dissolving boundaries.

`extent`¶

GeoQuerySet.extent(**kwargs)¶

Availability: PostGIS, Oracle

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`¶

GeoQuerySet.extent3d(**kwargs)¶

New in Django 1.2: Please, see the release notes

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`¶

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`¶

GeoQuerySet.unionagg(**kwargs)¶

Availability: PostGIS, Oracle, SpatiaLite

This method returns a 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 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.

Aggregate Functions¶

Example:

>>> from django.contrib.gis.db.models import Extent, Union
>>> WorldBorders.objects.aggregate(Extent('mpoly'), Union('mpoly'))

`Collect`¶

class Collect(geo_field)¶

Returns the same as the GeoQuerySet.collect() aggregate method.

`Extent`¶

class Extent(geo_field)¶

Returns the same as the GeoQuerySet.extent() aggregate method.

`Extent3D`¶

class Extent3D(geo_field)¶

New in Django 1.2: Please, see the release notes

Returns the same as the GeoQuerySet.extent3d() aggregate method.

`MakeLine`¶

class MakeLine(geo_field)¶

Returns the same as the GeoQuerySet.make_line() aggregate method.

`Union`¶

class Union(geo_field)¶

Returns the same as the GeoQuerySet.union() aggregate method.

Footnotes

[1]	See OpenGIS Simple Feature Specification For SQL, at Ch. 2.1.13.2, p. 2-13 (The Dimensionally Extended Nine-Intersection Model).

[2]	See SDO_RELATE documentation, from Ch. 11 of the Oracle Spatial User's Guide and Manual.

[3]	(1, 2) For an explanation of this routine, read Quirks of the "Contains" Spatial Predicate by Martin Davis (a PostGIS developer).

[4]	Refer to the PostGIS `ST_ContainsProperly` documentation for more details.

Django v1.2 documentation

GeoQuerySet API Reference¶

Spatial Lookups¶

bbcontains¶

bboverlaps¶

contained¶

contains¶

contains_properly¶

coveredby¶

covers¶

crosses¶

disjoint¶

equals¶

exact, same_as¶

intersects¶

overlaps¶

relate¶

PostGIS & SpatiaLite¶

Oracle¶

touches¶

within¶

left¶

right¶

overlaps_left¶

overlaps_right¶

overlaps_above¶

overlaps_below¶

strictly_above¶

strictly_below¶

Distance Lookups¶

distance_gt¶

distance_gte¶

distance_lt¶

distance_lte¶

dwithin¶

GeoQuerySet Methods¶

Measurement¶

area¶

distance¶

length¶

perimeter¶

Geometry Relationships¶

centroid¶

envelope¶

point_on_surface¶

Geometry Editors¶

force_rhr¶

reverse_geom¶

scale¶

snap_to_grid¶

transform¶

translate¶

Geometry Operations¶

difference¶

intersection¶

sym_difference¶

union¶

Geometry Output¶

geohash¶

geojson¶

gml¶

kml¶

svg¶

Miscellaneous¶

mem_size¶

num_geom¶

num_points¶

Spatial Aggregates¶

Aggregate Methods¶

collect¶

extent¶

extent3d¶

make_line¶

unionagg¶

Aggregate Functions¶

Collect¶

Extent¶

Extent3D¶

MakeLine¶

Union¶

`GeoQuerySet` Methods¶

`area`¶

`distance`¶

`length`¶

`perimeter`¶

`centroid`¶

`envelope`¶

`point_on_surface`¶

`force_rhr`¶

`reverse_geom`¶

`scale`¶

`snap_to_grid`¶

`transform`¶

`translate`¶

`difference`¶

`intersection`¶

`sym_difference`¶

`union`¶

`geohash`¶

`geojson`¶

`gml`¶

`kml`¶

`svg`¶

`mem_size`¶

`num_geom`¶

`num_points`¶

`collect`¶

`extent`¶

`extent3d`¶

`make_line`¶

`unionagg`¶

`Collect`¶

`Extent`¶

`Extent3D`¶

`MakeLine`¶

`Union`¶