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authorNatalia <124304+nessita@users.noreply.github.com>2025-08-22 12:36:48 -0300
committernessita <124304+nessita@users.noreply.github.com>2025-08-25 10:51:10 -0300
commit4286a23df64f6ce3b9b6ed097f4d1aac7d9e0de4 (patch)
treee7225d1586c174b5945f595b3759b7c6dddbdae1 /docs/ref/contrib/gis/db-api.txt
parent01a460f23e470555a733b8980401402b7947bb9f (diff)
Refs #36485 -- Removed double spaces after periods in sentences.
Diffstat (limited to 'docs/ref/contrib/gis/db-api.txt')
-rw-r--r--docs/ref/contrib/gis/db-api.txt8
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/ref/contrib/gis/db-api.txt b/docs/ref/contrib/gis/db-api.txt
index be7e5440b4..cf26978169 100644
--- a/docs/ref/contrib/gis/db-api.txt
+++ b/docs/ref/contrib/gis/db-api.txt
@@ -141,7 +141,7 @@ Spatial Lookups
===============
GeoDjango's lookup types may be used with any manager method like
-``filter()``, ``exclude()``, etc. However, the lookup types unique to
+``filter()``, ``exclude()``, etc. However, the lookup types unique to
GeoDjango are only available on spatial fields.
Filters on 'normal' fields (e.g. :class:`~django.db.models.CharField`)
@@ -233,9 +233,9 @@ Introduction
------------
Distance calculations with spatial data is tricky because, unfortunately,
-the Earth is not flat. Some distance queries with fields in a geographic
+the Earth is not flat. Some distance queries with fields in a geographic
coordinate system may have to be expressed differently because of
-limitations in PostGIS. Please see the :ref:`selecting-an-srid` section
+limitations in PostGIS. Please see the :ref:`selecting-an-srid` section
in the :doc:`model-api` documentation for more details.
.. _distance-lookups-intro:
@@ -273,7 +273,7 @@ to be in the units of the field.
In PostGIS, ``ST_Distance_Sphere`` does *not* limit the geometry types
geographic distance queries are performed with. [#fndistsphere15]_ However,
these queries may take a long time, as great-circle distances must be
- calculated on the fly for *every* row in the query. This is because the
+ calculated on the fly for *every* row in the query. This is because the
spatial index on traditional geometry fields cannot be used.
For much better performance on WGS84 distance queries, consider using