private static ISpatialIndexNode <IExtents, TItem> findParentNode(ISpatialIndexNode <IExtents, TItem> lookFor,
ISpatialIndexNode <IExtents, TItem> searchNode)
{
foreach (ISpatialIndexNode <IExtents, TItem> node in searchNode.SubNodes)
{
if (node.Equals(lookFor))
{
return(searchNode);
}
}
IExtents itemBounds = lookFor.Bounds;
// TODO: I think a breadth-first search would be more efficient here
foreach (ISpatialIndexNode <IExtents, TItem> child in searchNode.SubNodes)
{
if (child.Intersects(itemBounds))
{
ISpatialIndexNode <IExtents, TItem> found = findParentNode(lookFor, child);
if (found != null)
{
return(found);
}
}
}
return(null);
}
public void Insert(IExtents bounds, TItem entry, ISpatialIndexNode <IExtents, TItem> node, INodeSplitStrategy <IExtents, TItem> nodeSplitStrategy, IndexBalanceHeuristic heuristic, out ISpatialIndexNode <IExtents, TItem> newSiblingFromSplit)
{
if (node == null)
{
throw new ArgumentNullException("node");
}
if (!(node is QuadTreeNode <TItem>))
{
throw new ArgumentException("Parameter 'node' must be of type QuadTreeNode<TItem>", "node");
}
QuadTreeNode <TItem> quadTreeNode = node as QuadTreeNode <TItem>;
insertEntryRecursive(quadTreeNode, entry, nodeSplitStrategy, heuristic, out newSiblingFromSplit);
if (newSiblingFromSplit != null)
{
if (quadTreeNode.ItemCount == 4)
{
throw new QuadTreeIndexInsertOverflowException();
}
quadTreeNode.Add(newSiblingFromSplit);
}
}
private static ISpatialIndexNode <IExtents, TItem> findLeastExpandedChild(
IEnumerable <ISpatialIndexNode <IExtents, TItem> > children,
ComputationExtents currentBounds,
Double leastExpandedArea,
Double leastExpandedChildArea)
{
ISpatialIndexNode <IExtents, TItem> leastExpandedChild = null;
foreach (ISpatialIndexNode <IExtents, TItem> child in children)
{
ComputationExtents childBounds = child.Bounds != null
? new ComputationExtents(child.Bounds)
: new ComputationExtents();
ComputationExtents candidateRegion = childBounds.Union(currentBounds);
Double candidateRegionArea = candidateRegion.Area;
Double childArea = childBounds.Area;
Double expandedArea = candidateRegionArea - childArea;
if (expandedArea < leastExpandedArea)
{
leastExpandedChild = child;
leastExpandedChildArea = childArea;
leastExpandedArea = expandedArea;
}
else if (expandedArea == leastExpandedArea &&
childArea < leastExpandedChildArea)
{
leastExpandedChild = child;
leastExpandedChildArea = childArea;
}
}
return(leastExpandedChild);
}
private static ISpatialIndexNode <TBounds, TItem> findLeastExpandedChild(
IEnumerable <ISpatialIndexNode <TBounds, TItem> > children,
TBounds currentBounds,
Double leastExpandedArea,
Double leastExpandedChildArea)
{
ISpatialIndexNode <TBounds, TItem> leastExpandedChild = null;
foreach (ISpatialIndexNode <TBounds, TItem> child in children)
{
TBounds childBounds = child.Bounds;
TBounds candidateRegion = (TBounds)childBounds.Union(currentBounds);
Double candidateRegionArea = Area(candidateRegion);
Double childArea = Area(childBounds);
Double expandedArea = candidateRegionArea - childArea;
if (expandedArea < leastExpandedArea)
{
leastExpandedChild = child;
leastExpandedChildArea = childArea;
leastExpandedArea = expandedArea;
}
else if (expandedArea == leastExpandedArea &&
childArea < leastExpandedChildArea)
{
leastExpandedChild = child;
leastExpandedChildArea = childArea;
}
}
return(leastExpandedChild);
}
protected override void addSubNode(ISpatialIndexNode <IExtents, TItem> child)
{
if (child == null)
{
throw new ArgumentNullException("child");
}
RTreeNode <TItem> node = child as RTreeNode <TItem>;
if (node == null)
{
throw new ArgumentException("Parameter must be of type RTreeNode<TItem>.");
}
ensureChildren();
_children.Add(node);
if (Bounds == null)
{
Bounds = node.Bounds.Clone() as IExtents;
}
else
{
Bounds.ExpandToInclude(child.Bounds);
}
}
private static ISpatialIndexNode <IExtents, TItem> findNodeForItem(TItem item,
ISpatialIndexNode <IExtents, TItem> node)
{
foreach (TItem nodeItem in node.Items)
{
if (item.Equals(nodeItem))
{
return(node);
}
}
IExtents itemBounds = item.Bounds;
// TODO: I think a breadth-first search would be more efficient here
foreach (ISpatialIndexNode <IExtents, TItem> child in node.SubNodes)
{
if (child.Intersects(itemBounds))
{
ISpatialIndexNode <IExtents, TItem> found = findNodeForItem(item, child);
if (found != null)
{
return(found);
}
}
}
return(null);
}
public ISpatialIndexNode <IExtents, TItem> SplitNode(ISpatialIndexNode <IExtents, TItem> node, IndexBalanceHeuristic heuristic)
{
if (node == null)
{
return(null);
}
QuadTreeNode <TItem> quadTreeNode = node as QuadTreeNode <TItem>;
DynamicQuadTreeBalanceHeuristic quadTreeHeuristic = heuristic as DynamicQuadTreeBalanceHeuristic;
throw new NotImplementedException();
}
public ISpatialIndexNode <TBounds, TItem> SplitNode(ISpatialIndexNode <TBounds, TItem> node, IndexBalanceHeuristic heuristic)
{
if (node == null)
{
throw new ArgumentNullException("node");
}
DynamicRTreeBalanceHeuristic rTreeHueristic
= heuristic as DynamicRTreeBalanceHeuristic;
return(doSplit(node, rTreeHueristic));
}
/// <summary>
/// Removes an item from the index.
/// </summary>
/// <param name="item">The item to remove.</param>
public override Boolean Remove(TItem item)
{
ISpatialIndexNode <IExtents, TItem> itemNode = findNodeForItem(item, Root);
bool removed = itemNode != null && itemNode.Remove(item);
if (itemNode.IsPrunable)
{
ISpatialIndexNode <IExtents, TItem> parent = findParentNode(itemNode, Root);
parent.Remove(itemNode);
}
return(removed);
}
public ISpatialIndexNode <IExtents, TItem> SplitNode(
ISpatialIndexNode <IExtents, TItem> node, IndexBalanceHeuristic heuristic)
{
if (node == null)
{
throw new ArgumentNullException("node");
}
RTreeNode <TItem> rTreeNode = node as RTreeNode <TItem>;
Debug.Assert(rTreeNode != null);
DynamicRTreeBalanceHeuristic rTreeHueristic
= heuristic as DynamicRTreeBalanceHeuristic;
return(doSplit(rTreeNode, rTreeHueristic));
}
protected override Boolean removeSubNode(ISpatialIndexNode <IExtents, TItem> child)
{
if (child == null)
{
throw new ArgumentNullException("child");
}
RTreeNode <TItem> node = child as RTreeNode <TItem>;
if (node == null)
{
throw new ArgumentException("Parameter must be of type RTreeNode<TItem>.");
}
ensureChildren();
return(_children.Remove(node));
}
/// <summary>
/// Inserts a node into the tree using <see cref="ItemInsertStrategy"/>.
/// </summary>
/// <param name="item">The item to insert into the index.</param>
public override void Insert(TItem item)
{
ISpatialIndexNode <IExtents, TItem> newSiblingFromSplit;
//printItemCount();
ItemInsertStrategy.Insert(item.Bounds, item, Root,
_nodeSplitStrategy, Heuristic,
out newSiblingFromSplit);
if (newSiblingFromSplit == null)
{
return;
}
//Debug.Print("Node was split.");
// Add the newly split sibling
if (newSiblingFromSplit.IsLeaf)
{
if (Root.IsLeaf) // handle the first splitting of the root node.
{
RTreeNode <TItem> oldRoot = Root as RTreeNode <TItem>;
Root = CreateNode(0);
Root.Add(oldRoot);
}
Root.Add(newSiblingFromSplit);
}
else // Came from a root split
{
ISpatialIndexNode <IExtents, TItem> oldRoot = Root;
Root = CreateNode(0);
Root.Add(oldRoot);
Root.Add(newSiblingFromSplit);
}
}
protected override bool removeSubNode(ISpatialIndexNode <IExtents, TItem> child)
{
throw new NotImplementedException();
}
private void insertEntryRecursive(QuadTreeNode <TItem> quadTreeNode, TItem entry, INodeSplitStrategy <IExtents, TItem> nodeSplitStrategy, IndexBalanceHeuristic heuristic, out ISpatialIndexNode <IExtents, TItem> newSiblingFromSplit)
{
throw new NotImplementedException();
}
public void Insert(TBounds bounds, TItem entry, ISpatialIndexNode <TBounds, TItem> node, INodeSplitStrategy <TBounds, TItem> nodeSplitStrategy, IndexBalanceHeuristic heuristic, out ISpatialIndexNode <TBounds, TItem> newSiblingFromSplit)
{
newSiblingFromSplit = null;
//TODO: handle null node..
// Terminating case
if (node.IsLeaf)
{
node.Add(entry);
// Handle node overflow
if (node.ItemCount > heuristic.NodeItemMaximumCount)
{
// Split the node using the given strategy
newSiblingFromSplit = nodeSplitStrategy.SplitNode(node, heuristic);
//if (++_tempSplitCount % 100 == 0)
//{
// Debug.Print("Node split # {0}", _tempSplitCount);
//}
}
}
else
{
// NOTE: Descending the tree recursively here
// can make for a very expensive build of a tree,
// even for moderate amounts of data.
Double leastExpandedArea = Double.MaxValue;
Double leastExpandedChildArea = Double.MaxValue;
//TBounds currentBounds = new ComputationExtents(bounds);
ISpatialIndexNode <TBounds, TItem> leastExpandedChild;
leastExpandedChild = findLeastExpandedChild(node.SubNodes,
bounds,
leastExpandedArea,
leastExpandedChildArea);
Debug.Assert(leastExpandedChild != null);
// Found least expanded child node - insert into it
Insert(bounds, entry, leastExpandedChild, nodeSplitStrategy,
heuristic, out newSiblingFromSplit);
// Adjust this node...
node.Bounds.ExpandToInclude(bounds);
// Check for overflow and add to current node if it occured
if (newSiblingFromSplit != null)
{
// Add new sibling node to the current node
node.Add(newSiblingFromSplit);
newSiblingFromSplit = null;
// Split the current node, since the child count is too high,
// and return the split to the caller
if (node.ItemCount > heuristic.NodeItemMaximumCount)
{
newSiblingFromSplit = nodeSplitStrategy.SplitNode(node, heuristic);
}
}
}
}
private ISpatialIndexNode <TBounds, TItem> doSplit(ISpatialIndexNode <TBounds, TItem> node, DynamicRTreeBalanceHeuristic heuristic)
{
Boolean isLeaf = node.IsLeaf;
IEnumerable <IBoundable <TBounds> > boundables =
isLeaf
? Caster.Upcast <IBoundable <TBounds>, TItem>(node.Items)
: Caster.Upcast <IBoundable <TBounds>, ISpatialIndexNode <TBounds, TItem> >(node.SubNodes);
Int32 boundablesCount = isLeaf ? node.ItemCount : node.SubNodeCount;
List <IBoundable <TBounds> > entries = new List <IBoundable <TBounds> >(boundablesCount);
entries.AddRange(boundables);
IList <IBoundable <TBounds> > group1 = new List <IBoundable <TBounds> >();
IList <IBoundable <TBounds> > group2 = new List <IBoundable <TBounds> >();
pickSeeds(entries, group1, group2);
Int32 group1Count = 1, group2Count = 1;
distribute(entries, group1, group2, heuristic, ref group1Count, ref group2Count);
if (entries.Count > 0)
{
if (group1Count < heuristic.NodeItemMinimumCount)
{
fillShortGroup(entries, group1, ref group1Count);
}
else // group2Count < heuristic.NodeItemMinimumCount
{
fillShortGroup(entries, group2, ref group2Count);
}
}
node.Clear();
ISpatialIndexNode <TBounds, TItem> sibling = NodeFactory.CreateNode(node.Level);
IEnumerable <IBoundable <TBounds> > g1Sized = Enumerable.Take(group1, group1Count);
IEnumerable <IBoundable <TBounds> > g2Sized = Enumerable.Take(group2, group2Count);
if (isLeaf)
{
//IEnumerable<TItem> g1Cast = Caster.Downcast<TItem, IBoundable<TBounds>>(g1Sized);
node.AddRange(g1Sized);
//IEnumerable<TItem> g2Cast = Caster.Downcast<TItem, IBoundable<IExtents>>(g2Sized);
sibling.AddRange(g2Sized);
}
else
{
//IEnumerable<ISpatialIndexNode<IExtents, TItem>> g1Cast
// = Caster.Downcast<ISpatialIndexNode<IExtents, TItem>, IBoundable<IExtents>>(g1Sized);
node.AddRange(g1Sized);
//IEnumerable<ISpatialIndexNode<IExtents, TItem>> g2Cast
// = Caster.Downcast<ISpatialIndexNode<IExtents, TItem>, IBoundable<IExtents>>(g2Sized);
sibling.AddRange(g2Sized);
}
return(sibling);
}
protected abstract Boolean removeSubNode(ISpatialIndexNode <IExtents, TItem> child);
protected abstract void addSubNode(ISpatialIndexNode <IExtents, TItem> child);
public void RestructureNode(ISpatialIndexNode node)
{
}
public void RestructureNode(ISpatialIndexNode <TBounds, TItem> node)
{
}
