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% | Reference manual page: SpatialTree.tex
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% | 1.07.2001   Johan W.H. Tangelder
% | Package: ASPAS
% | 
\RCSdef{\RCSSpatialTreeRev}{$Revision$}
\RCSdefDate{\RCSSpatialTreeDate}{$Date$}
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\begin{ccRefConcept}{SpatialTree}

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\ccDefinition
  
The concept \ccRefName\ defines the requirements for a tree supporting
both neighbor searching and approximate range searching. 

\ccParameters

\ccc{TreeTraits} represents a tree traits class.

\ccTypes

\ccNestedType{Node;}{Node type.}
\ccNestedType{Node_handle;}{Node handle.}
\ccNestedType{Point_iterator;}{Iterator over points.}
\ccNestedType{input_iterator;}{Input iterator over points.}

\ccCreation
\ccCreationVariable{tree}  %% choose variable name

\ccConstructor{Tree(input_iterator first, input_iterator beyond, TreeTraits t);}
{
Constructs a tree on the elements from the sequence 
\ccc{first, beyond}. 
}

\ccOperations

\ccMethod{
template <class OutputIterator, class FuzzyQueryItem>
OutputIterator search(OutputIterator it, FuzzyQueryItem q);}
{Reports the points that are approximately contained by \ccc{q}.} 

\ccMethod{
OutputIterator report_all_points(OutputIterator it);}
{Reports all the points contained by the tree.} 

\ccMethod{Traits traits();}
{
Returns an instance of the traits class.
}
\ccMethod{Node_handle root();}
{
Returns a handle to the root node of the tree.
}

\ccMethod{Kd_tree_rectangle<NT>* bounding_box();}{returns a pointer to the bounding box 
of the root node of the tree.}


\ccMethod{int item_number();}
{
Returns the number of items that are stored in the tree.
}

\ccHasModels

\ccc{CGAL::Kd_tree<TreeTraits>}.

\ccSeeAlso

\ccc{CGAL::Kd_tree<TreeTraits>}.
\end{ccRefConcept}

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