GeoDjango モデル APILink to this heading

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:

Code
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()

空間フィールドのタイプLink to this heading

空間フィールドは一連のジオメトリフィールド型と1つのラスターフィールド型で構成されます。各ジオメトリフィールド型は OpenGIS Simple Features 仕様 [1] に対応しています。ラスターデータに対するこのような標準は存在しません。

GeometryFieldLink to this heading

class GeometryFieldLink to this definition

ジオメトリフィールドの基本クラス。

PointFieldLink to this heading

class PointFieldLink to this definition

Point を格納します。

LineStringFieldLink to this heading

class LineStringFieldLink to this definition

LineString を格納します。

PolygonFieldLink to this heading

class PolygonFieldLink to this definition

Polygon を格納します。

MultiPointFieldLink to this heading

class MultiPointFieldLink to this definition

MultiPoint を格納します。

MultiLineStringFieldLink to this heading

class MultiLineStringFieldLink to this definition

MultiLineString を格納します。

MultiPolygonFieldLink to this heading

class MultiPolygonFieldLink to this definition

MultiPolygon を格納します。

GeometryCollectionFieldLink to this heading

class GeometryCollectionFieldLink to this definition

GeometryCollection を格納します。

RasterFieldLink to this heading

class RasterFieldLink to this definition

GDALRaster を格納します。

RasterField は現在、PostGIS バックエンドのみで実装されています。

空間フィールドのオプションLink to this heading

Django のモデルフィールドで利用できる通常の フィールドオプション に加えて、空間フィールドには以下の追加オプションがあります。すべてオプションです。

sridLink to this heading

BaseSpatialField.sridLink to this definition

ジオメトリフィールドの SRID [2] (Spatial Reference System Identity) を指定した値に設定します。デフォルトは 4326 (別名 WGS84 、単位は緯度経度)。

SRID の選択Link to this heading

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.

追加のリソース:

  • spatialreference.org: A database of spatial reference systems.

  • 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_indexLink to this heading

BaseSpatialField.spatial_indexLink to this definition

Defaults to True. Creates a spatial index for the given geometry field.

ジオメトリフィールドのオプションLink to this heading

ジオメトリフィールドには追加オプションがあります。以下のすべてのオプションは任意です。

dimLink to this heading

GeometryField.dimLink to this definition

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.

geographyLink to this heading

GeometryField.geographyLink to this definition

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.

max_geom_collectionsLink to this heading

GeometryField.max_geom_collectionsLink to this definition

This option is forwarded to the form field generated for this model field, bounding how many geometry collections may be contained in submitted WKB/WKT inputs before raising ValueError. Since spatial field assignments are lazy, it is also checked when values are accessed, e.g. when saving an instance, but not when read from a database. It defaults to 198.

ジオグラフィ (Geography) 型Link to this heading

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).

地理計算にはより多くの数学が関わるため、地理型に対して使用できる PostGIS 空間ルックアップのサブセットが限られています。具体的には、距離ルックアップ に加えて、ジオグラフィカラム用に利用可能な追加の 空間ルックアップ は以下のみです。

入力としてジオグラフィ型をサポートしていない空間ルックアップや集計を使用する必要がある場合、 Cast データベース関数を使用して、クエリの中でジオグラフィカラムをジオメトリ型に変換できます:

Code
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.

脚注