GIS QuerySet API Reference

Pencarian Spasial

The spatial lookups in this section are available for GeometryField and RasterField.

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.

Pencarian dengan raster

All examples in the reference below are given for geometry fields and inputs, but the lookups can be used the same way with rasters on both sides. Whenever a lookup doesn't support raster input, the input is automatically converted to a geometry where necessary using the ST_Polygon function. See also the introduction to raster lookups.

The database operators used by the lookups can be divided into three categories:

  • Native raster support N: the operator accepts rasters natively on both sides of the lookup, and raster input can be mixed with geometry inputs.
  • Bilateral raster support B: the operator supports rasters only if both sides of the lookup receive raster inputs. Raster data is automatically converted to geometries for mixed lookups.
  • Geometry conversion support C. The lookup does not have native raster support, all raster data is automatically converted to geometries.

The examples below show the SQL equivalent for the lookups in the different types of raster support. The same pattern applies to all spatial lookups.

Kasus Cari Setara SQL
N, B rast__contains=rst ST_Contains(rast, rst)
N, B rast__1__contains=(rst, 2) ST_Contains(rast, 1, rst, 2)
B, C rast__contains=geom ST_Contains(ST_Polygon(rast), geom)
B, C rast__1__contains=geom ST_Contains(ST_Polygon(rast, 1), geom)
B, C poly__contains=rst ST_Contains(poly, ST_Polygon(rst))
B, C poly__contains=(rst, 1) ST_Contains(poly, ST_Polygon(rst, 1))
C rast__crosses=rst ST_Crosses(ST_Polygon(rast), ST_Polygon(rst))
C rast__1__crosses=(rst, 2) ST_Crosses(ST_Polygon(rast, 1), ST_Polygon(rst, 2))
C rast__crosses=geom ST_Crosses(ST_Polygon(rast), geom)
C poly__crosses=rst ST_Crosses(poly, ST_Polygon(rst))

Spatial lookups with rasters are only supported for PostGIS backends (denominated as PGRaster in this section).

bbcontains

Tersedia: PostGIS, MySQL, SpatiaLite, PGRaster (Asli)

Tests if the geometry or raster field's bounding box completely contains the lookup geometry's bounding box.

Contoh:

Zipcode.objects.filter(poly__bbcontains=geom)
Backend Setara SQL
PostGIS poly ~ geom
MySQL MBRContains(poly, geom)
SpatiaLite MbrContains(poly, geom)

bboverlaps

Tersedia: PostGIS, MySQL, SpatiaLite, PGRaster (Asli)

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

Contoh:

Zipcode.objects.filter(poly__bboverlaps=geom)
Backend Setara SQL
PostGIS poly && geom
MySQL MBROverlaps(poly, geom)
SpatiaLite MbrOverlaps(poly, geom)

contained

Tersedia: PostGIS, MySQL, SpatiaLite, PGRaster (Asli)

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

Contoh:

Zipcode.objects.filter(poly__contained=geom)
Backend Setara SQL
PostGIS poly @ geom
MySQL MBRWithin(poly, geom)
SpatiaLite MbrWithin(poly, geom)

contains

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)

Tests if the geometry field spatially contains the lookup geometry.

Contoh:

Zipcode.objects.filter(poly__contains=geom)
Backend Setara SQL
PostGIS ST_Contains(poly, geom)
Oracle SDO_CONTAINS(poly, geom)
MySQL MBRContains(poly, geom)
SpatiaLite Contains(poly, geom)

contains_properly

Tersedia: PostGIS, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__contains_properly=geom)
Backend Setara SQL
PostGIS ST_ContainsProperly(poly, geom)

coveredby

Tersedia: PostGIS, Oracle, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__coveredby=geom)
Backend Setara SQL
PostGIS ST_CoveredBy(poly, geom)
Oracle SDO_COVEREDBY(poly, geom)

covers

Tersedia: PostGIS, Oracle, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__covers=geom)
Backend Setara SQL
PostGIS ST_Covers(poly, geom)
Oracle SDO_COVERS(poly, geom)

crosses

Tersedia: PostGIS, SpatiaLite, PGRaster (Perubahan)

Tests if the geometry field spatially crosses the lookup geometry.

Contoh:

Zipcode.objects.filter(poly__crosses=geom)
Backend Setara SQL
PostGIS ST_Crosses(poly, geom)
SpatiaLite Crosses(poly, geom)

disjoint

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__disjoint=geom)
Backend Setara SQL
PostGIS ST_Disjoint(poly, geom)
Oracle SDO_GEOM.RELATE(poly, 'DISJOINT', geom, 0.05)
MySQL MBRDisjoint(poly, geom)
SpatiaLite Disjoint(poly, geom)

equals

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Perubahan)

exact, same_as

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)

intersects

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)

Tests if the geometry field spatially intersects the lookup geometry.

Contoh:

Zipcode.objects.filter(poly__intersects=geom)
Backend Setara SQL
PostGIS ST_Intersects(poly, geom)
Oracle SDO_OVERLAPBDYINTERSECT(poly, geom)
MySQL MBRIntersects(poly, geom)
SpatiaLite Intersects(poly, geom)

isvalid

Availability: MySQL (≥ 5.7.5), PostGIS, Oracle, SpatiaLite

Coba jika geometri adalah sah.

Contoh:

Zipcode.objects.filter(poly__isvalid=True)
Backend Setara SQL
MySQL, PostGIS, SpatiaLite ST_IsValid(poly)
Oracle SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT(poly, 0.05) = 'TRUE'
Changed in Django 1.11:

Dukungan Oracle dan SpatiaLite telah ditambahkan.

Changed in Django 2.0:

Dukungan MySQL telah ditambahkan.

overlaps

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)

relate

Tersedia: PostGIS, Oracle, SpatiaLite, PGRaster (Perubahan)

Tests if the geometry field is spatially related to 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]

Contoh geometri:

# 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 Setara:

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

SpatiaLite SQL setara:

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

Raster example:

Zipcode.objects.filter(poly__relate=(rast, 1, 'T*T***FF*'))
Zipcode.objects.filter(rast__2__relate=(rast, 1, 'T*T***FF*'))

PostGIS SQL Setara:

SELECT ... WHERE ST_Relate(poly, ST_Polygon(rast, 1), 'T*T***FF*')
SELECT ... WHERE ST_Relate(ST_Polygon(rast, 2), ST_Polygon(rast, 1), 'T*T***FF*')

Oracle

Here the relation pattern is comprised of 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.

Contoh:

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

Oracle SQL setara:

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

touches

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite

Tests if the geometry field spatially touches the lookup geometry.

Contoh:

Zipcode.objects.filter(poly__touches=geom)
Backend Setara SQL
PostGIS ST_Touches(poly, geom)``
MySQL MBRTouches(poly, geom)
Oracle SDO_TOUCH(poly, geom)
SpatiaLite Touches(poly, geom)

within

Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__within=geom)
Backend Setara SQL
PostGIS ST_Within(poly, geom)
MySQL MBRWithin(poly, geom)
Oracle SDO_INSIDE(poly, geom)
SpatiaLite Within(poly, geom)

left

Tersedia: PostGIS, PGRaster (Perubahan)

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

Contoh:

Zipcode.objects.filter(poly__left=geom)

PostGIS Setara:

SELECT ... WHERE poly << geom

right

Tersedia: PostGIS, PGRaster (Perubahan)

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

Contoh:

Zipcode.objects.filter(poly__right=geom)

PostGIS Setara:

SELECT ... WHERE poly >> geom

overlaps_left

Tersedia: PostGIS, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__overlaps_left=geom)

PostGIS Setara:

SELECT ... WHERE poly &< geom

overlaps_right

Tersedia: PostGIS, PGRaster (Timbal balik)

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

Contoh:

Zipcode.objects.filter(poly__overlaps_right=geom)

PostGIS Setara:

SELECT ... WHERE poly &> geom

overlaps_above

Tersedia: PostGIS, PGRaster (Perubahan)

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

Contoh:

Zipcode.objects.filter(poly__overlaps_above=geom)

PostGIS Setara:

SELECT ... WHERE poly |&> geom

overlaps_below

Tersedia: PostGIS, PGRaster (Perubahan)

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

Contoh:

Zipcode.objects.filter(poly__overlaps_below=geom)

PostGIS Setara:

SELECT ... WHERE poly &<| geom

strictly_above

Tersedia: PostGIS, PGRaster (Perubahan)

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

Contoh:

Zipcode.objects.filter(poly__strictly_above=geom)

PostGIS Setara:

SELECT ... WHERE poly |>> geom

strictly_below

Tersedia: PostGIS, PGRaster (Perubahan)

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

Contoh:

Zipcode.objects.filter(poly__strictly_below=geom)

PostGIS Setara:

SELECT ... WHERE poly <<| geom

Pencarian Jarak

Availability: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Native)

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

Pencarian jarak mengambil formulir berikut:

<field>__<distance lookup>=(<geometry/raster>, <distance value>[, 'spheroid'])
<field>__<distance lookup>=(<raster>, <band_index>, <distance value>[, 'spheroid'])
<field>__<band_index>__<distance lookup>=(<raster>, <band_index>, <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, a Distance object, or a query expression <ref/models/expressions>). To pass a band index to the lookup, use a 3-tuple where the second entry is the band index.

On every distance lookup except dwithin, an optional element, 'spheroid', may be included to use the more accurate spheroid distance calculation functions on fields with a geodetic coordinate system.

Pada PostgreSQL, pilihan 'spheroid' menggunakan ST_DistanceSpheroid daripada ST_DistanceSphere. Fungsi ST_Distance paling sederhana digunakan dengan sistem kordinat yang sudah dihitung. Raster dirubah ke geometri untuk pencarian berdasarkan spheroid.

New in Django 1.11:

Support for the 'spheroid' option on SQLite was added.

New in Django 2.0:

Dukungan MySQL telah ditambahkan.

distance_gt

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

Contoh:

Zipcode.objects.filter(poly__distance_gt=(geom, D(m=5)))
Backend Setara SQL
PostGIS ST_Distance/ST_Distance_Sphere(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.

Contoh:

Zipcode.objects.filter(poly__distance_gte=(geom, D(m=5)))
Backend Setara SQL
PostGIS ST_Distance/ST_Distance_Sphere(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.

Contoh:

Zipcode.objects.filter(poly__distance_lt=(geom, D(m=5)))
Backend Setara SQL
PostGIS ST_Distance/ST_Distance_Sphere(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.

Contoh:

Zipcode.objects.filter(poly__distance_lte=(geom, D(m=5)))
Backend Setara SQL
PostGIS ST_Distance/ST_Distance_Sphere(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. Note that you can only provide Distance objects if the targeted geometries are in a projected system. For geographic geometries, you should use units of the geometry field (e.g. degrees for WGS84) .

Contoh:

Zipcode.objects.filter(poly__dwithin=(geom, D(m=5)))
Backend Setara SQL
PostGIS ST_DWithin(poly, geom, 5)
Oracle SDO_WITHIN_DISTANCE(poly, geom, 5)
SpatiaLite PtDistWithin(poly, geom, 5)
Changed in Django 1.11:

Dukungan SpatiaLite  telah ditambahkan.

Fungsi Kumpulan

Django provides some GIS-specific aggregate functions. For details on how to use these aggregate functions, see the topic guide on aggregation.

Argumen Katakunci Deskripsi
tolerance This keyword is for Oracle only. It is for the tolerance value used by the SDOAGGRTYPE procedure; the Oracle documentation has more details.

Contoh:

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

Collect

class Collect(geo_field)

Tersedia: PostGIS, SpatiaLite

Returns a GEOMETRYCOLLECTION or a MULTI geometry object from the geometry column. This is analogous to a simplified version of the Union aggregate, 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

class Extent(geo_field)

Tersedia: PostGIS, Oracle, SpatiaLite

Returns the extent of all geo_field in the QuerySet as a four-tuple, comprising the lower left coordinate and the upper right coordinate.

Contoh:

>>> qs = City.objects.filter(name__in=('Houston', 'Dallas')).aggregate(Extent('poly'))
>>> print(qs['poly__extent'])
(-96.8016128540039, 29.7633724212646, -95.3631439208984, 32.782058715820)

Extent3D

class Extent3D(geo_field)

Tersedia: PostGIS

Returns the 3D extent of all geo_field in the QuerySet as a six-tuple, comprising the lower left coordinate and upper right coordinate (each with x, y, and z coordinates).

Contoh:

>>> qs = City.objects.filter(name__in=('Houston', 'Dallas')).aggregate(Extent3D('poly'))
>>> print(qs['poly__extent3d'])
(-96.8016128540039, 29.7633724212646, 0, -95.3631439208984, 32.782058715820, 0)

MakeLine

class MakeLine(geo_field)

Tersedia: PostGIS, SpatiaLite

Returns a LineString constructed from the point field geometries in the QuerySet. Currently, ordering the queryset has no effect.

Contoh:

>>> qs = City.objects.filter(name__in=('Houston', 'Dallas')).aggregate(MakeLine('poly'))
>>> print(qs['poly__makeline'])
LINESTRING (-95.3631510000000020 29.7633739999999989, -96.8016109999999941 32.7820570000000018)

Union

class Union(geo_field)

Tersedia: PostGIS, Oracle, SpatiaLite

This method returns a GEOSGeometry object comprising the union of every geometry in the queryset. Please note that use of Union is processor intensive and may take a significant amount of time on large querysets.

Catatan

If the computation time for using this method is too expensive, consider using Collect instead.

Contoh:

>>> u = Zipcode.objects.aggregate(Union(poly))  # This may take a long time.
>>> u = Zipcode.objects.filter(poly__within=bbox).aggregate(Union(poly))  # A more sensible approach.

Catatan kaki

[1]Lihat OpenGIS Simple Feature Specification For SQL, pada bab 2.1.13.2, halaman 2-13 (The Dimensionally Extended Nine-Intersection Model).
[2]See SDO_RELATE documentation, from the Oracle Spatial and Graph Developer's Guide.
[3](1, 2) For an explanation of this routine, read Quirks of the "Contains" Spatial Predicate by Martin Davis (a PostGIS developer).