# dokumentasi Django 2.0.8

# API Model GeoDjango

This document explores the details of the GeoDjango Model API. Throughout this section, we'll be using the following geographic model of a ZIP code and of a Digital Elevation Model as our examples:

    from django.contrib.gis.db import models

    class Zipcode(models.Model):
        code = models.CharField(max_length=5)
        poly = models.PolygonField()

    class Elevation(models.Model):
        name = models.CharField(max_length=100)
        rast = models.RasterField()

## Spatial Field Types

Spatial fields consist of a series of geometry field types and one raster field type. Each of the geometry field types correspond to the OpenGIS Simple Features specification [1]. There is no such standard for raster data.

### `GeometryField`

class `GeometryField`

### `PointField`

class `PointField`

### `LineStringField`

class `LineStringField`

### `PolygonField`

class `PolygonField`

### `MultiPointField`

class `MultiPointField`

### `MultiLineStringField`

class `MultiLineStringField`

### `MultiPolygonField`

class `MultiPolygonField`

### `GeometryCollectionField`

class `GeometryCollectionField`

### `RasterField`

class `RasterField`

`RasterField` is currently only implemented for the PostGIS backend.

## Pilihan Bidang Spasial

In addition to the regular Pilihan bidang available for Django model fields, spatial fields have the following additional options. All are optional.

### `srid`

`BaseSpatialField.``srid`

Sets the SRID [2] (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).

#### Memilih sebuah SRID

Choosing an appropriate SRID for your model is an important decision that the developer should consider carefully. The SRID is an integer specifier that corresponds to the projection system that will be used to interpret the data in the spatial database. [3] 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 is spherical and representations of the earth (e.g., paper maps, Web maps) 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. 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. [4] Thus, additional computation is required to obtain distances in planar units (e.g., kilometers and miles). Using a geographic coordinate system may introduce complications for the developer later on. For example, SpatiaLite does not have the capability to perform distance calculations between geometries using geographic coordinate systems, e.g. constructing a query to find all points within 5 miles of a county boundary stored as WGS84. [5]

Portions of the earth's surface may projected onto a two-dimensional, or Cartesian, plane. Projected coordinate systems are especially convenient for region-specific applications, e.g., if you know that your database will 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 calculations.

Catatan

If you wish to perform arbitrary distance queries using non-point geometries in WGS84 in PostGIS and you want decent performance, enable the `GeometryField.geography` keyword so that geography database type is used instead.

Sumber daya Tambahan:

- spatialreference.org: Sebuah basisdata ditenagai-Django dari sistem acuan spasial.
- The State Plane Coordinate System: A website covering the various 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.

### `spatial_index`

`BaseSpatialField.``spatial_index`

Awalan pada `True`. Membuat indeks spasial untuk bidang geometri yang diberikan.

Catatan

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.

## Pilihan Bidang Geometri

Ada pilihan tambahan tersedia untuk bidang Geometri. Semua pilihan berikut adalah pilihan.

### `dim`

`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-dimensional support.

Catatan

Pada waktu ini dukungan 3D adalah terbatas pada backend spasial PostGIS.

### `geography`

`GeometryField.``geography`

If set to `True`, this option will create a database column of type geography, rather than geometry. Please refer to the geography type section below for more details.

Catatan

Dukungan geografi adalah terbatas pada PostGIS dan akan memaksa SRID menjadi 4326.

#### Jenis Geografi

The geography type provides native support for spatial features represented with geographic coordinates (e.g., WGS84 longitude/latitude). [6] 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 distance lookups only the following additional spatial lookups are available for geography columns:

- `bboverlaps`
- `coveredby`
- `covers`
- `intersects`

If you need to use a spatial lookup or aggregate that doesn't support the geography type as input, you can use the `Cast` database function to convert the geography column to a geometry type in the query:

    from django.contrib.gis.db.models import PointField
    from django.db.models.functions import Cast

    Zipcode.objects.annotate(
        geom=Cast('geography_field', PointField())
    ).filter(geom__within=poly)

For more information, the PostGIS documentation contains a helpful section on determining when to use geography data type over geometry data type.

Catatan kaki

[1] | OpenGIS Consortium, Inc., Spesifikasi Fitur sederhana Untuk SQL.

[2] | Lihat id. pada Ch. 2.3.8, p. 39 (Nilai Geometri dan Sustem Acuan Spasial).

[3] | Typically, SRID integer corresponds to an EPSG (European Petroleum Survey Group) identifier. However, it may also be associated with custom projections defined in spatial database's spatial reference systems table.

[4] | 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.

[5] | Batasan ini tidak berlaku pada PostGIS.

[6] | Please refer to the PostGIS Geography Type documentation for more details.