... e geometry from WKT, HEX, WKB, and GeoJSON: >>> from django.contrib.gis.geos import GEOSGeometry >>> pnt = GEOSGeometry ( "POINT(5 23)" ) # WKT >>> pnt = GEOSGeometry ( "010100000000000000000014400000000000003740" ) # HEX >>> pnt = GEOSGeometry ( ... ... \x00\x00\x00\x00\x00\x00\x00\x14 @ \x00\x00\x00\x00\x00\x00 7@" ... ) ... ) # WKB >>> pnt = GEOSGeometry ( ... '{ "type": "Point", "coordinates": [ 5.000000, 23.000000 ] }' ... ) # GeoJSON Another option is to use the constructor for the specific geom ... etry type that you wish to create. For example, a Point object may be created by passing in the X and Y coordinates into its constructor: >>> from django.contrib.gis.geos import ... ... e geometry from WKT, HEX, WKB, and GeoJSON: >>> from django.contrib.gis.geos import GEOSGeometry >>> pnt = GEOSGeometry ( "POINT(5 23)" ) # WKT >>> pnt = GEOSGeometry ( "010100000000000000000014400000000000003740" ) # HEX >>> pnt = GEOSGeometry ( ... ... \x00\x00\x00\x00\x00\x00\x00\x14 @ \x00\x00\x00\x00\x00\x00 7@" ... ) ... ) # WKB >>> pnt = GEOSGeometry ( ... '{ "type": "Point", "coordinates": [ 5.000000, 23.000000 ] }' ... ) # GeoJSON Another option is to use the constructor for the specific geom ... etry type that you wish to create. For example, a Point object may be created by passing in the X and Y coordinates into its constructor: >>> from django.contrib.gis.geos import ... ... とする) のどちらに基づいて計算するかを決めることができます。 以下の例では、Hobart 市から AustraliaCity クエリセット内の他の PointField までの距離を計算しています: >>> from django.contrib.gis.db.models.functions import Distance >>> pnt = AustraliaCity . ... objects . get ( name = "Hobart" ) . point >>> for city in AustraliaCity . objects . annotate ( distance = Distance ( "point" , pnt )): ... print ( city . name , cit ... は式を受け取り、ジオメトリフィールドの周長を Distance オブジェクトとして返します。 リレーション ¶ Azimuth ¶ class Azimuth ( point_a , point_b , ** extra ) [ソース] ¶ 利用可能なDB : PostGIS , SpatiaLite (LWGEOM/RTTOPO) 与えられた点のジオメトリで定義され ... ... とする) のどちらに基づいて計算するかを決めることができます。 以下の例では、Hobart 市から AustraliaCity クエリセット内の他の PointField までの距離を計算しています: >>> from django.contrib.gis.db.models.functions import Distance >>> pnt = AustraliaCity . ... objects . get ( name = "Hobart" ) . point >>> for city in AustraliaCity . objects . annotate ( distance = Distance ( "point" , pnt )): ... print ( city . name , cit ... は式を受け取り、ジオメトリフィールドの周長を Distance オブジェクトとして返します。 リレーション ¶ Azimuth ¶ class Azimuth ( point_a , point_b , ** extra ) [ソース] ¶ 利用可能なDB : PostGIS , SpatiaLite (LWGEOM/RTTOPO) 与えられた点のジオメトリで定義され ... ... tains some number of geographic features ( Feature ), information about the type of features contained in that layer (e.g. points, polygons, etc.), as well as the names and types of any additional fields ( Field ) of data that may be associated with e ... : ... print ( 'Layer " %s ": %i %s s' % ( layer . name , len ( layer ), layer . geom_type . name )) ... Layer "cities": 3 Points 上記で読み込まれた都市データソースからの例の出力は、明らかに1つのレイヤーである "cities" を含み、その中に3つのポイント・フ ... num_feat 3 geom_type ¶ レイヤーのジオメトリタイプを OGRGeomType オブジェクトとして返します: >>> layer . geom_type . name 'Point' num_fields ¶ レイヤーのフィールド数、つまりレイヤー内の各フィーチャに関連付けられたデータフィールドの数を返します: >>> la ... ... tains some number of geographic features ( Feature ), information about the type of features contained in that layer (e.g. points, polygons, etc.), as well as the names and types of any additional fields ( Field ) of data that may be associated with e ... : ... print ( 'Layer " %s ": %i %s s' % ( layer . name , len ( layer ), layer . geom_type . name )) ... Layer "cities": 3 Points 上記で読み込まれた都市データソースからの例の出力は、明らかに1つのレイヤーである "cities" を含み、その中に3つのポイント・フ ... num_feat 3 geom_type ¶ レイヤーのジオメトリタイプを OGRGeomType オブジェクトとして返します: >>> layer . geom_type . name 'Point' num_fields ¶ レイヤーのフィールド数、つまりレイヤー内の各フィーチャに関連付けられたデータフィールドの数を返します: >>> la ... ... harField ( max_length = 30 ) # A projected coordinate system (only valid for South Texas!) # is used, units are in meters. point = models . PointField ( srid = 32140 ) 距離クエリは次のように実行できます: >>> from django.contrib.gis.geos import GEOSGeo ... ``D`` is a shortcut for ``Distance`` >>> from geoapp.models import SouthTexasCity # Distances will be calculated from this point, which does not have to be projected. >>> pnt = GEOSGeometry ( "POINT(-96.876369 29.905320)" , srid = 4326 ) # If numeric ... parameter, units of field (meters in this case) are assumed. >>> qs = SouthTexasCity . objects . filter ( point__distance_lte = ( pnt , 7000 )) # Find all Cities within 7 km, > 20 miles away, and > 100 chains away (an obscure unit) >> ... ... : String (2.0) indicates that the FIPS character field has a maximum length of 2. Similarly, LON: Real (8.3) is a floating-point field that holds a maximum of 8 digits up to three decimal places. 地理情報モデル ¶ 地理情報モデルを定義する ¶ さて、 ogri ... ドで 値 にアクセス) の両方から情報を抽出できます: >>> for feat in lyr : ... print ( feat . get ( "NAME" ), feat . geom . num_points ) ... Guernsey 18 Jersey 26 South Georgia South Sandwich Islands 338 Taiwan 363 Layer オブジェクトはスライス可能です。 >> ... atial lookups to the Django ORM. For example, you can find the country in the WorldBorder table that contains a particular point. First, fire up the management shell: / $ python manage.py shell ...\> py manage.py shell ここで、注目するポイント [ 3 ... ... : String (2.0) indicates that the FIPS character field has a maximum length of 2. Similarly, LON: Real (8.3) is a floating-point field that holds a maximum of 8 digits up to three decimal places. 地理情報モデル ¶ 地理情報モデルを定義する ¶ さて、 ogri ... ドで 値 にアクセス) の両方から情報を抽出できます: >>> for feat in lyr : ... print ( feat . get ( "NAME" ), feat . geom . num_points ) ... Guernsey 18 Jersey 26 South Georgia South Sandwich Islands 338 Taiwan 363 Layer オブジェクトはスライス可能です。 >> ... atial lookups to the Django ORM. For example, you can find the country in the WorldBorder table that contains a particular point. First, fire up the management shell: / $ python manage.py shell ...\> py manage.py shell ここで、注目するポイント [ 3 ... ... harField ( max_length = 30 ) # A projected coordinate system (only valid for South Texas!) # is used, units are in meters. point = models . PointField ( srid = 32140 ) 距離クエリは次のように実行できます: >>> from django.contrib.gis.geos import GEOSGeo ... ``D`` is a shortcut for ``Distance`` >>> from geoapp.models import SouthTexasCity # Distances will be calculated from this point, which does not have to be projected. >>> pnt = GEOSGeometry ( "POINT(-96.876369 29.905320)" , srid = 4326 ) # If numeric ... parameter, units of field (meters in this case) are assumed. >>> qs = SouthTexasCity . objects . filter ( point__distance_lte = ( pnt , 7000 )) # Find all Cities within 7 km, > 20 miles away, and > 100 chains away (an obscure unit) >> ... 2026年10月08日