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Corrected outputs and made cosmetic edits in GeoDjango tutorial.

This commit is contained in:
Mariusz Felisiak 2021-09-15 09:15:39 +02:00
parent fc91ea1e50
commit b5bf026813
1 changed files with 20 additions and 15 deletions
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35
docs/ref/contrib/gis/tutorial.txt
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@ -78,9 +78,9 @@ file. Edit the database connection settings to match your setup::
DATABASES = {
'default': {
'ENGINE': 'django.contrib.gis.db.backends.postgis',
'NAME': 'geodjango',
'USER': 'geo',
'ENGINE': 'django.contrib.gis.db.backends.postgis',
'NAME': 'geodjango',
'USER': 'geo',
},
}
@ -258,7 +258,7 @@ This command should produce the following output:
-- Create model WorldBorder
--
CREATE TABLE "world_worldborder" (
"id" serial NOT NULL PRIMARY KEY,
"id" bigserial NOT NULL PRIMARY KEY,
"name" varchar(50) NOT NULL,
"area" integer NOT NULL,
"pop2005" integer NOT NULL,
@ -273,7 +273,7 @@ This command should produce the following output:
"mpoly" geometry(MULTIPOLYGON,4326) NOT NULL
)
;
CREATE INDEX "world_worldborder_mpoly_id" ON "world_worldborder" USING GIST ( "mpoly" );
CREATE INDEX "world_worldborder_mpoly_id" ON "world_worldborder" USING GIST ("mpoly");
COMMIT;
If this looks correct, run :djadmin:`migrate` to create this table in the
@ -367,13 +367,20 @@ system associated with it. If it does, the ``srs`` attribute will return a
>>> srs = lyr.srs
>>> print(srs)
GEOGCS["GCS_WGS_1984",
DATUM["WGS_1984",
SPHEROID["WGS_1984",6378137.0,298.257223563]],
PRIMEM["Greenwich",0.0],
UNIT["Degree",0.0174532925199433]]
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0,
AUTHORITY["EPSG","8901"]],
UNIT["degree",0.0174532925199433,
AUTHORITY["EPSG","9122"]],
AXIS["Latitude",NORTH],
AXIS["Longitude",EAST],
AUTHORITY["EPSG","4326"]]
>>> srs.proj # PROJ representation
'+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs '
'+proj=longlat +datum=WGS84 +no_defs'
This shapefile is in the popular WGS84 spatial reference
system -- in other words, the data uses longitude, latitude pairs in
@ -389,7 +396,7 @@ The following code will let you examine the OGR types (e.g. integer or
string) associated with each of the fields:
>>> [fld.__name__ for fld in lyr.field_types]
['OFTString', 'OFTString', 'OFTString', 'OFTInteger', 'OFTString', 'OFTInteger', 'OFTInteger', 'OFTInteger', 'OFTInteger', 'OFTReal', 'OFTReal']
['OFTString', 'OFTString', 'OFTString', 'OFTInteger', 'OFTString', 'OFTInteger', 'OFTInteger64', 'OFTInteger', 'OFTInteger', 'OFTReal', 'OFTReal']
You can iterate over each feature in the layer and extract information from both
the feature's geometry (accessed via the ``geom`` attribute) as well as the
@ -423,11 +430,10 @@ Boundary geometries may be exported as WKT and GeoJSON::
>>> print(geom.json)
{ "type": "Polygon", "coordinates": [ [ [ 12.415798, 43.957954 ], [ 12.450554, 43.979721 ], ...
``LayerMapping``
----------------
To import the data, use a LayerMapping in a Python script.
To import the data, use a ``LayerMapping`` in a Python script.
Create a file called ``load.py`` inside the ``world`` application,
with the following code::
@ -685,7 +691,6 @@ GeoDjango also offers a set of geographic annotations to compute distances and
several other operations (intersection, difference, etc.). See the
:doc:`functions` documentation.
Putting your data on the map
============================