GIS QuerySet API ReferenceLink to this heading
Pencarian SpasialLink to this heading
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 rasterLink to this heading
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 |
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N, B |
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N, B |
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B, C |
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B, C |
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B, C |
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B, C |
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C |
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C |
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C |
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C |
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Spatial lookups with rasters are only supported for PostGIS backends (denominated as PGRaster in this section).
bbcontainsLink to this heading
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 |
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PostGIS |
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MySQL |
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SpatiaLite |
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bboverlapsLink to this heading
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 |
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PostGIS |
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MySQL |
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SpatiaLite |
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containedLink to this heading
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 |
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PostGIS |
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MySQL |
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SpatiaLite |
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containsLink to this heading
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 |
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PostGIS |
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Oracle |
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MySQL |
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SpatiaLite |
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contains_properlyLink to this heading
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 |
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PostGIS |
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coveredbyLink to this heading
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 |
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PostGIS |
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Oracle |
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coversLink to this heading
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 |
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PostGIS |
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Oracle |
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crossesLink to this heading
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 |
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PostGIS |
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SpatiaLite |
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disjointLink to this heading
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 |
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PostGIS |
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Oracle |
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MySQL |
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SpatiaLite |
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equalsLink to this heading
Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Perubahan)
exact, same_asLink to this heading
Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)
intersectsLink to this heading
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 |
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PostGIS |
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Oracle |
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MySQL |
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SpatiaLite |
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isvalidLink to this heading
Availability: MySQL (≥ 5.7.5), PostGIS, Oracle, SpatiaLite
Coba jika geometri adalah sah.
Contoh:
Zipcode.objects.filter(poly__isvalid=True)
Backend |
Setara SQL |
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MySQL, PostGIS, SpatiaLite |
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Oracle |
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overlapsLink to this heading
Tersedia: PostGIS, Oracle, MySQL, SpatiaLite, PGRaster (Timbal balik)
relateLink to this heading
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 & SpatiaLiteLink to this heading
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*')
OracleLink to this heading
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')
touchesLink to this heading
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 |
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PostGIS |
ST_Touches(poly, geom)`` |
MySQL |
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Oracle |
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SpatiaLite |
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withinLink to this heading
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 |
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PostGIS |
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MySQL |
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Oracle |
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SpatiaLite |
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leftLink to this heading
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
rightLink to this heading
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_leftLink to this heading
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_rightLink to this heading
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_aboveLink to this heading
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_belowLink to this heading
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_aboveLink to this heading
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_belowLink to this heading
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 JarakLink to this heading
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.
distance_gtLink to this heading
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 |
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Oracle |
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SpatiaLite |
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distance_gteLink to this heading
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 |
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PostGIS |
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Oracle |
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SpatiaLite |
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distance_ltLink to this heading
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 |
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PostGIS |
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Oracle |
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SpatiaLite |
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distance_lteLink to this heading
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 |
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Oracle |
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SpatiaLite |
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dwithinLink to this heading
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 |
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Oracle |
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SpatiaLite |
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Fungsi KumpulanLink to this heading
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 |
|---|---|
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This keyword is for Oracle only. It is for the
tolerance value used by the |
Contoh:
>>> from django.contrib.gis.db.models import Extent, Union
>>> WorldBorder.objects.aggregate(Extent('mpoly'), Union('mpoly'))
CollectLink to this heading
- class Collect(geo_field)Link to this definition
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.
ExtentLink to this heading
- class Extent(geo_field)Link to this definition
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)
Extent3DLink to this heading
- class Extent3D(geo_field)Link to this definition
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)
MakeLineLink to this heading
- class MakeLine(geo_field)Link to this definition
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)
UnionLink to this heading
- class Union(geo_field)Link to this definition
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.
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.
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