[Boost-commit] svn:boost r83743 - trunk/libs/geometry/doc/index/rtree

Subject: [Boost-commit] svn:boost r83743 - trunk/libs/geometry/doc/index/rtree
From: adam.wulkiewicz_at_[hidden]
Date: 2013-04-03 10:38:10

Author: awulkiew
Date: 2013-04-03 10:38:07 EDT (Wed, 03 Apr 2013)
New Revision: 83743
URL: http://svn.boost.org/trac/boost/changeset/83743

Log:
geometry.index docs: Fixed errors in text.
Text files modified: 
   trunk/libs/geometry/doc/index/rtree/creation.qbk |     4 ++--                                    
   trunk/libs/geometry/doc/index/rtree/query.qbk    |     3 +--                                     
   2 files changed, 3 insertions(+), 4 deletions(-)

Modified: trunk/libs/geometry/doc/index/rtree/creation.qbk
==============================================================================
--- trunk/libs/geometry/doc/index/rtree/creation.qbk	(original)
+++ trunk/libs/geometry/doc/index/rtree/creation.qbk	2013-04-03 10:38:07 EDT (Wed, 03 Apr 2013)
@@ -12,7 +12,7 @@
 
 [section Template parameters]
 
-__rtree__ has 4 parameters:
+__rtree__ has 5 parameters:
 
  rtree<Value,
        Parameters,
@@ -31,7 +31,7 @@
 [section Values and Indexables]
 
 __rtree__ may store `__value__`s of any type as long as passed function objects know how to interpret those `__value__`s, that is
-extract an `__indexable__` that the __rtree__ can handle and compare `__values__`.
+extract an `__indexable__` that the __rtree__ can handle and compare `__value__`s.
 
 By default function objects `index::indexable<Value>` and `index::equal_to<Value>` are defined for some typically used `__value__`
 types which may be stored without defining any additional classes. By default the rtree may store pure `__indexable__`s, pairs

Modified: trunk/libs/geometry/doc/index/rtree/query.qbk
==============================================================================
--- trunk/libs/geometry/doc/index/rtree/query.qbk	(original)
+++ trunk/libs/geometry/doc/index/rtree/query.qbk	2013-04-03 10:38:07 EDT (Wed, 03 Apr 2013)
@@ -83,8 +83,7 @@
 
 Nearest neighbours queries returns `__value__`s which are closest to some point in space.
 Additionally it is possible to define how the distance to the `Value` should be calculated.
-The examples of some knn queries may be found in the table below. All queries return 5 closest `Values`.
-The query point and Values are orange.
+The example of knn query is presented below. 5 `__value__`s nearest to some point are orange.
 
 [$img/index/rtree/knn.png]