/// <summary>
/// Given a node object, calculate the node Minimum Bounding Rectangle from it's entries. Used in consistency checking
/// </summary>
/// <returns></returns>
internal Rectangle calculateMinimumBoundingRectangle()
{
minimumBoundingRectangle = new Rectangle(true);
Update();
for (int i = 0; i < entryCount; i++)
{
if (entries[i].Value.MinX < minimumBoundingRectangle.MinX)
{
minimumBoundingRectangle.MinX = entries[i].Value.MinX;
}
if (entries[i].Value.MinY < minimumBoundingRectangle.MinY)
{
minimumBoundingRectangle.MinY = entries[i].Value.MinY;
}
if (entries[i].Value.MaxX > minimumBoundingRectangle.MaxX)
{
minimumBoundingRectangle.MaxX = entries[i].Value.MaxX;
}
if (entries[i].Value.MaxY > minimumBoundingRectangle.MaxY)
{
minimumBoundingRectangle.MaxY = entries[i].Value.MaxY;
}
}
return minimumBoundingRectangle;
}
/// <summary>
/// Start at the Root Node
/// Select the child that needs the least enlargement in order to fit the new geometry.
/// Repeat until at a leaf node.
/// If leaf node has available space insert Else split the entry into two nodes
/// Update parent nodes
/// Update the entry that pointed to the node with a new minimum bounding rectangle
/// Add a new entry for the second new node
/// If there is no space in the parent node, split and repeat
/// </summary>
/// <param name="r">the rectangle being added</param>
public void Add(Rectangle r)
{
AddInternal(r);
size++;
#if RtreeCheck
checkConsistency();
#endif
}
internal void addEntry(ref Rectangle r)
{
Update();
entries[entryCount++] = r;
if (r.MinX < minimumBoundingRectangle.MinX)
minimumBoundingRectangle.MinX = r.MinX;
if (r.MinY < minimumBoundingRectangle.MinY)
minimumBoundingRectangle.MinY = r.MinY;
if (r.MaxX > minimumBoundingRectangle.MaxX)
minimumBoundingRectangle.MaxX = r.MaxX;
if (r.MaxY > minimumBoundingRectangle.MaxY)
minimumBoundingRectangle.MaxY = r.MaxY;
}
internal Rectangle calculateMBR()
{
Rectangle mbr = new Rectangle(true);
for (int i = 0; i < entryCount; i++)
{
if (entries[i].Value.MinX < mbr.MinX)
mbr.MinX = entries[i].Value.MinX;
if (entries[i].Value.MinY < mbr.MinY)
mbr.MinY = entries[i].Value.MinY;
if (entries[i].Value.MaxX > mbr.MaxX)
mbr.MaxX = entries[i].Value.MaxX;
if (entries[i].Value.MaxY > mbr.MaxY)
mbr.MaxY = entries[i].Value.MaxY;
}
return mbr;
}
/// <summary>
/// Computes the union of this rectangle and the passed rectangle, storing the result in this rectangle.
/// </summary>
/// <param name="r">Rectangle to add to this rectangle</param>
public void Add(Rectangle r)
{
if (r.minX < minX)
minX = r.minX;
if (r.maxX > maxX)
maxX = r.maxX;
if (r.minY < minY)
minY = r.minY;
if (r.maxY > maxY)
maxY = r.maxY;
}
/// <summary>
/// Calculate the area by which this rectangle would be enlarged if added to the passed rectangle. Neither rectangle is altered.
/// </summary>
/// <param name="r">Rectangle to union with this rectangle, in order to compute the difference in area of the union and the original rectangle</param>
/// <returns>enlargement</returns>
public double Enlargement(ref Rectangle r)
{
double enlargedArea = (Math.Max(maxX, r.maxX) - Math.Min(minX, r.minX)) * (Math.Max(maxY, r.maxY) - Math.Min(minY, r.minY));
return enlargedArea - Area;
}
/// <summary>
/// Determine whether this rectangle is contained by the passed rectangle
/// </summary>
/// <param name="r">The rectangle that might contain this rectangle</param>
/// <returns>return true if the passed rectangle contains this rectangle, false if it does not</returns>
public bool containedBy(Rectangle r)
{
return r.maxX >= maxX && r.minX <= minX && r.maxY >= maxY && r.minY <= minY;
}
/// <summary>
/// Determine whether this rectangle intersects the passed rectangle
/// </summary>
/// <param name="r">The rectangle that might intersect this rectangle</param>
/// <returns>return true if the rectangles intersect, false if they do not intersect</returns>
public bool Intersects(ref Rectangle? r)
{
return maxX >= r.Value.minX && minX <= r.Value.maxX && maxY >= r.Value.minY && minY <= r.Value.maxY;
}
/// <summary>
/// Determine whether an edge of this rectangle overlies the equivalent edge of the passed rectangle
/// </summary>
/// <param name="r"></param>
/// <returns></returns>
public bool edgeOverlaps(Rectangle r)
{
return minX == r.minX || maxX == r.maxX || minY == r.minY || maxY == r.maxY;
}
internal NodeLeaf splitNode(RTree rTree, Rectangle r)
{
// [Pick first entry for each group] Apply algorithm pickSeeds to
// choose two entries to be the first elements of the groups. Assign
// each to a group.
// debug code
/*double initialArea = 0;
if (log.isDebugEnabled())
{
double unionMinX = Math.Min(n.mbrMinX, newRectMinX);
double unionMinY = Math.Min(n.mbrMinY, newRectMinY);
double unionMaxX = Math.Max(n.mbrMaxX, newRectMaxX);
double unionMaxY = Math.Max(n.mbrMaxY, newRectMaxY);
initialArea = (unionMaxX - unionMinX) * (unionMaxY - unionMinY);
}*/
System.Array.Copy(rTree.initialEntryStatus, 0, rTree.entryStatus, 0, rTree.maxNodeEntries);
Update();
NodeLeaf newNode = null;
newNode = new NodeLeaf(level, rTree.maxNodeEntries);
pickSeeds(rTree, ref r, newNode); // this also sets the entryCount to 1
// [Check if done] If all entries have been assigned, stop. If one group has so few entries that all the rest must be assigned to it in
// order for it to have the minimum number m, assign them and stop.
while (entryCount + newNode.entryCount < rTree.maxNodeEntries + 1)
{
if (rTree.maxNodeEntries + 1 - newNode.entryCount == rTree.minNodeEntries)
{
// assign all remaining entries to original node
for (int i = 0; i < rTree.maxNodeEntries; i++)
{
if (rTree.entryStatus[i] == ((byte)RTree.EntryStatus.unassigned))
{
rTree.entryStatus[i] = ((byte)RTree.EntryStatus.assigned);
if (entries[i].Value.MinX < minimumBoundingRectangle.MinX)
minimumBoundingRectangle.MinX = entries[i].Value.MinX;
if (entries[i].Value.MinY < minimumBoundingRectangle.MinY)
minimumBoundingRectangle.MinY = entries[i].Value.MinY;
if (entries[i].Value.MaxX > minimumBoundingRectangle.MaxX)
minimumBoundingRectangle.MaxX = entries[i].Value.MaxX;
if (entries[i].Value.MaxY > minimumBoundingRectangle.MaxY)
minimumBoundingRectangle.MaxY = entries[i].Value.MaxY;
entryCount++;
}
}
break;
}
if (rTree.maxNodeEntries + 1 - entryCount == rTree.minNodeEntries)
{
// assign all remaining entries to new node
for (int i = 0; i < rTree.maxNodeEntries; i++)
{
if (rTree.entryStatus[i] == ((byte)RTree.EntryStatus.unassigned))
{
rTree.entryStatus[i] = ((byte)RTree.EntryStatus.assigned);
Rectangle entryR = entries[i].Value;
newNode.addEntry(ref entryR);
entries[i] = null;
}
}
break;
}
// [Select entry to assign] Invoke algorithm pickNext to choose the next entry to assign. Add it to the group whose covering rectangle
// will have to be enlarged least to accommodate it. Resolve ties by adding the entry to the group with smaller area, then to the
// the one with fewer entries, then to either. Repeat from S2
pickNext(rTree, newNode);
}
reorganize(rTree);
// check that the MBR stored for each node is correct.
#if RtreeCheck
if (!this.minimumBoundingRectangle.Equals(calculateMBR()))
{
throw new UnexpectedException("Error: splitNode old node MBR wrong");
}
if (!newNode.minimumBoundingRectangle.Equals(newNode.calculateMBR()))
{
throw new UnexpectedException("Error: splitNode new node MBR wrong");
}
#endif
#if RtreeCheck
double newArea = minimumBoundingRectangle.Area + newNode.minimumBoundingRectangle.Area;
double percentageIncrease = (100 * (newArea - initialArea)) / initialArea;
Console.WriteLine("Node " + this + " split. New area increased by " + percentageIncrease + "%");
#endif
return newNode;
}
// Return the index of the found entry, or -1 if not found
internal virtual int findEntry(ref Rectangle r)
{
for (int i = 0; i < entryCount; i++)
{
if (entries[i].Value.Equals(r))
return i;
}
return -1;
}
private void pickSeeds(RTree rTree, ref Rectangle r, NodeLeaf newNode)
{
// Find extreme rectangles along all dimension. Along each dimension, find the entry whose rectangle has the highest low side, and the one
// with the lowest high side. Record the separation.
double maxNormalizedSeparation = -1; // initialize to -1 so that even overlapping rectangles will be considered for the seeds
int highestLowIndex = -1;
int lowestHighIndex = -1;
Update();
// for the purposes of picking seeds, take the MBR of the node to include the new rectangle aswell.
if (r.MinX < minimumBoundingRectangle.MinX)
minimumBoundingRectangle.MinX = r.MinX;
if (r.MinY < minimumBoundingRectangle.MinY)
minimumBoundingRectangle.MinY = r.MinY;
if (r.MaxX > minimumBoundingRectangle.MaxX)
minimumBoundingRectangle.MaxX = r.MaxX;
if (r.MaxY > minimumBoundingRectangle.MaxY)
minimumBoundingRectangle.MaxY = r.MaxY;
double mbrLenX = minimumBoundingRectangle.MaxX - minimumBoundingRectangle.MinX;
double mbrLenY = minimumBoundingRectangle.MaxY - minimumBoundingRectangle.MinY;
#if RtreeCheck
Console.WriteLine("pickSeeds(): Node = " + this);
#endif
double tempHighestLow = r.MinX;
int tempHighestLowIndex = -1; // -1 indicates the new rectangle is the seed
double tempLowestHigh = r.MaxX;
int tempLowestHighIndex = -1; // -1 indicates the new rectangle is the seed
for (int i = 0; i < entryCount; i++)
{
double tempLow = entries[i].Value.MinX;
if (tempLow >= tempHighestLow)
{
tempHighestLow = tempLow;
tempHighestLowIndex = i;
} // ensure that the same index cannot be both lowestHigh and highestLow
else
{
double tempHigh = entries[i].Value.MaxX;
if (tempHigh <= tempLowestHigh)
{
tempLowestHigh = tempHigh;
tempLowestHighIndex = i;
}
}
// PS2 [Adjust for shape of the rectangle cluster] Normalize the separations by dividing by the widths of the entire set along the corresponding dimension
double normalizedSeparation = mbrLenX == 0 ? 1 : (tempHighestLow - tempLowestHigh) / mbrLenX;
if (normalizedSeparation > 1 || normalizedSeparation < -1)
{
Console.WriteLine("Invalid normalized separation X");
}
#if RtreeCheck
Console.WriteLine("Entry " + i + ", dimension X: HighestLow = " + tempHighestLow + " (index " + tempHighestLowIndex + ")" + ", LowestHigh = " + tempLowestHigh + " (index " + tempLowestHighIndex + ", NormalizedSeparation = " + normalizedSeparation);
#endif
// PS3 [Select the most extreme pair] Choose the pair with the greatest normalized separation along any dimension.
// Note that if negative it means the rectangles overlapped. However still include overlapping rectangles if that is the only choice available.
if (normalizedSeparation >= maxNormalizedSeparation)
{
highestLowIndex = tempHighestLowIndex;
lowestHighIndex = tempLowestHighIndex;
maxNormalizedSeparation = normalizedSeparation;
}
}
// Repeat for the Y dimension
tempHighestLow = r.MinY;
tempHighestLowIndex = -1; // -1 indicates the new rectangle is the seed
tempLowestHigh = r.MaxY;
tempLowestHighIndex = -1; // -1 indicates the new rectangle is the seed
for (int i = 0; i < entryCount; i++)
{
double tempLow = entries[i].Value.MinY;
if (tempLow >= tempHighestLow)
{
tempHighestLow = tempLow;
tempHighestLowIndex = i;
} // ensure that the same index cannot be both lowestHigh and highestLow
else
{
double tempHigh = entries[i].Value.MaxY;
if (tempHigh <= tempLowestHigh)
{
tempLowestHigh = tempHigh;
tempLowestHighIndex = i;
}
}
// PS2 [Adjust for shape of the rectangle cluster] Normalize the separations by dividing by the widths of the entire set along the corresponding dimension
double normalizedSeparation = mbrLenY == 0 ? 1 : (tempHighestLow - tempLowestHigh) / mbrLenY;
if (normalizedSeparation > 1 || normalizedSeparation < -1)
{
throw new UnexpectedException("Invalid normalized separation Y");
}
#if RtreeCheck
Console.WriteLine("Entry " + i + ", dimension Y: HighestLow = " + tempHighestLow + " (index " + tempHighestLowIndex + ")" + ", LowestHigh = " + tempLowestHigh + " (index " + tempLowestHighIndex + ", NormalizedSeparation = " + normalizedSeparation);
#endif
// PS3 [Select the most extreme pair] Choose the pair with the greatest normalized separation along any dimension.
// Note that if negative it means the rectangles overlapped. However still include overlapping rectangles if that is the only choice available.
if (normalizedSeparation >= maxNormalizedSeparation)
{
highestLowIndex = tempHighestLowIndex;
lowestHighIndex = tempLowestHighIndex;
maxNormalizedSeparation = normalizedSeparation;
}
}
// At this point it is possible that the new rectangle is both highestLow and lowestHigh. This can happen if all rectangles in the node overlap the new rectangle.
// Resolve this by declaring that the highestLowIndex is the lowest Y and, the lowestHighIndex is the largest X (but always a different rectangle)
if (highestLowIndex == lowestHighIndex)
{
highestLowIndex = -1;
double tempMinY = r.MinY;
lowestHighIndex = 0;
double tempMaxX = entries[0].Value.MaxX;
for (int i = 1; i < entryCount; i++)
{
if (entries[i].Value.MinY < tempMinY)
{
tempMinY = entries[i].Value.MinY;
highestLowIndex = i;
}
else if (entries[i].Value.MaxX > tempMaxX)
{
tempMaxX = entries[i].Value.MaxX;
lowestHighIndex = i;
}
}
}
// highestLowIndex is the seed for the new node.
if (highestLowIndex == -1)
newNode.addEntry(ref r);
else
{
Rectangle entryRectangle = entries[highestLowIndex].Value;
newNode.addEntry(ref entryRectangle);
entries[highestLowIndex] = r; // move the new rectangle into the space vacated by the seed for the new node
}
// lowestHighIndex is the seed for the original node.
if (lowestHighIndex == -1)
lowestHighIndex = highestLowIndex;
rTree.entryStatus[lowestHighIndex] = ((byte)RTree.EntryStatus.assigned);
entryCount = 1;
minimumBoundingRectangle = entries[lowestHighIndex].Value;
}
internal virtual void recalculateMBR()
{
Update();
minimumBoundingRectangle = entries[0].Value;
for (int i = 1; i < entryCount; i++)
{
if (entries[i].Value.MinX < minimumBoundingRectangle.MinX)
minimumBoundingRectangle.MinX = entries[i].Value.MinX;
if (entries[i].Value.MinY < minimumBoundingRectangle.MinY)
minimumBoundingRectangle.MinY = entries[i].Value.MinY;
if (entries[i].Value.MaxX > minimumBoundingRectangle.MaxX)
minimumBoundingRectangle.MaxX = entries[i].Value.MaxX;
if (entries[i].Value.MaxY > minimumBoundingRectangle.MaxY)
minimumBoundingRectangle.MaxY = entries[i].Value.MaxY;
}
}
/// <summary>
/// Adds a new entry at a specified level in the tree
/// </summary>
/// <param name="r">the rectangle added</param>
internal void AddInternal(Rectangle r)
{
// I1 [Find position for new record] Invoke ChooseLeaf to select a leaf node L in which to place r
NodeLeaf n = (NodeLeaf) chooseNode(r, 1);
NodeLeaf newLeaf = null;
// I2 [Add record to leaf node] If L has room for another entry, install E. Otherwise invoke SplitNode to obtain L and LL containing E and all the old entries of L
if (n.entryCount < maxNodeEntries)
n.addEntry(ref r);
else
newLeaf = n.splitNode(this, r);
// I3 [Propagate changes upwards] Invoke AdjustTree on L, also passing LL if a split was performed
NodeBase newNode = n.adjustTree(this, newLeaf);
// I4 [Grow tree taller] If node split propagation caused the root to split, create a new root whose children are the two resulting nodes.
if (newNode != null)
{
NodeBase oldRoot = rootNode;
NodeInternal root = new NodeInternal(++treeHeight, maxNodeEntries);
rootNode = root;
root.addEntry(ref newNode.minimumBoundingRectangle, newNode);
root.addEntry(ref oldRoot.minimumBoundingRectangle, oldRoot);
}
}
/// <summary>
/// Removes a rectangle from the Rtree
/// </summary>
/// <param name="r">the rectangle to delete</param>
/// <returns>true if rectangle deleted otherwise false</returns>
public bool Remove(Rectangle r)
{
// FindLeaf algorithm inlined here. Note the "official" algorithm searches all overlapping entries. This seems inefficient,
// as an entry is only worth searching if it contains (NOT overlaps) the rectangle we are searching for.
// FL1 [Search subtrees] If root is not a leaf, check each entry to determine if it contains r. For each entry found, invoke
// findLeaf on the node pointed to by the entry, until r is found or all entries have been checked.
parents.Clear();
parents.Push(rootNode);
parentsEntry.Clear();
parentsEntry.Push(-1);
NodeBase n = null;
int foundIndex = -1; // index of entry to be deleted in leaf
while (foundIndex == -1 && parents.Count > 0)
{
n = parents.Peek();
int startIndex = parentsEntry.Peek() + 1;
if (!n.IsLeaf)
{
NodeInternal internalNode = n as NodeInternal;
bool Contains = false;
for (int i = startIndex; i < n.entryCount; i++)
{
if (n.entries[i].Value.Contains(r))
{
parents.Push(internalNode.childNodes[i]);
parentsEntry.Pop();
parentsEntry.Push(i); // this becomes the start index when the child has been searched
parentsEntry.Push(-1);
Contains = true;
break; // ie go to next iteration of while()
}
}
if (Contains)
continue;
}
else
{
NodeLeaf leaf = n as NodeLeaf;
foundIndex = leaf.findEntry(ref r);
}
parents.Pop();
parentsEntry.Pop();
} // while not found
if (foundIndex != -1)
{
NodeLeaf leaf = n as NodeLeaf;
leaf.deleteEntry(foundIndex);
leaf.condenseTree(this);
size--;
}
// shrink the tree if possible (i.e. if root node has exactly one entry, and that entry is not a leaf node, delete the root (it's entry becomes the new root)
NodeBase root = rootNode;
while (root.entryCount == 1 && treeHeight > 1)
{
NodeInternal rootInternal = root as NodeInternal;
root.entryCount = 0;
rootNode = rootInternal.childNodes[0];
treeHeight--;
}
// if the tree is now empty, then set the MBR of the root node back to it's original state (this is only needed when the tree is empty,
// as this is the only state where an empty node is not eliminated)
if (size == 0)
rootNode.minimumBoundingRectangle = new Rectangle(true);
#if RtreeCheck
checkConsistency();
#endif
return (foundIndex != -1);
}
/// <summary>
/// Sets the size of this rectangle to equal the passed rectangle.
/// </summary>
/// <param name="r"></param>
public void set(Rectangle r)
{
minX = r.minX;
minY = r.minY;
maxX = r.maxX;
maxY = r.maxY;
}
/// <summary>
/// Finds all rectangles that intersect the passed rectangle.
/// </summary>
/// <param name="r">the rectangle we are intersecting with</param>
/// <param name="v">if returns true, search containues else search is ended</param>
/// <returns>true if at least one intersection was found and v returns true</returns>
public bool Intersects(Rectangle r, Func<Rectangle, bool> v)
{
return intersects(r, v, rootNode);
}
public bool Equals(Rectangle r)
{
return minX == r.minX && minY == r.minY && maxX == r.maxX && maxY == r.maxY;
}
/// <summary>
/// Finds all rectangles contained by the passed rectangle
/// </summary>
/// <param name="r">The rectangle for which this method finds contained rectangles.</param>
/// <param name="v">if return true, continue seach</param>
public void Contains(Rectangle r, Func<Rectangle, bool> v)
{
// find all rectangles in the tree that are contained by the passed rectangle written to be non-recursive (should model other searches on this?)
parents.Clear();
parents.Push(rootNode);
parentsEntry.Clear();
parentsEntry.Push(-1);
// TODO: possible shortcut here - could test for intersection with the MBR of the root node. If no intersection, return immediately.
while (parents.Count > 0)
{
NodeBase n = parents.Peek();
int startIndex = parentsEntry.Peek() + 1;
if (!n.IsLeaf)
{
NodeInternal nodeInternal = n as NodeInternal;
// go through every entry in the index node to check if it intersects the passed rectangle. If so, it could contain entries that are contained.
bool intersects = false;
for (int i = startIndex; i < n.entryCount; i++)
{
if (r.Intersects(ref n.entries[i]))
{
parents.Push(nodeInternal.childNodes[i]);
parentsEntry.Pop();
parentsEntry.Push(i); // this becomes the start index when the child has been searched
parentsEntry.Push(-1);
intersects = true;
break; // ie go to next iteration of while()
}
}
if (intersects)
{
continue;
}
}
else
{
// go through every entry in the leaf to check if it is contained by the passed rectangle
for (int i = 0; i < n.entryCount; i++)
{
if (r.Contains(n.entries[i].Value))
{
if (!v(n.entries[i].Value))
{
return;
}
}
}
}
parents.Pop();
parentsEntry.Pop();
}
}
/// <summary>
/// Determine whether this rectangle contains the passed rectangle
/// </summary>
/// <param name="r">The rectangle that might be contained by this rectangle</param>
/// <returns>return true if this rectangle contains the passed rectangle, false if it does not</returns>
public bool Contains(Rectangle r)
{
return maxX >= r.maxX && minX <= r.minX && maxY >= r.maxY && minY <= r.minY;
}
/// <summary>
/// Recursively searches the tree for all intersecting entries.
/// Calls the passed function when a matching entry is found. Return if the passed function returns false;
/// </summary>
/// <param name="r"></param>
/// <param name="v"></param>
/// <param name="n"></param>
/// <returns></returns>
// TODO rewrite this to be non-recursive.
private bool intersects(Rectangle r, Func<Rectangle, bool> v, NodeBase n)
{
for (int i = 0; i < n.entryCount; i++)
{
if (r.Intersects(ref n.entries[i]))
{
if (n.IsLeaf)
{
if (!v(n.entries[i].Value))
{
return false;
}
}
else
{
NodeInternal nodeInternal = n as NodeInternal;
NodeInternal childNode = nodeInternal.childNodes[i] as NodeInternal;
if (!intersects(r, v, childNode))
{
return false;
}
}
}
}
return true;
}
/// <summary>
/// Return the distance between this rectangle and the passed rectangle. If the rectangles overlap, the distance is zero.
/// </summary>
/// <param name="r">Rectangle to find the distance to</param>
/// <returns>return distance between this rectangle and the passed rectangle</returns>
public double Distance(Rectangle r)
{
double distanceSquared = 0;
double greatestMin = Math.Max(minX, r.minX);
double leastMax = Math.Min(maxX, r.maxX);
if (greatestMin > leastMax)
{
distanceSquared += ((greatestMin - leastMax) * (greatestMin - leastMax));
}
greatestMin = Math.Max(minY, r.minY);
leastMax = Math.Min(maxY, r.maxY);
if (greatestMin > leastMax)
{
distanceSquared += ((greatestMin - leastMax) * (greatestMin - leastMax));
}
return (double)Math.Sqrt(distanceSquared);
}
/// <summary>
/// Used by add(). Chooses a leaf to add the rectangle to.
/// </summary>
/// <param name="r"></param>
/// <param name="level"></param>
/// <returns></returns>
private NodeBase chooseNode(Rectangle r, int level)
{
// CL1 [Initialize] Set N to be the root node
NodeBase n = rootNode;
parents.Clear();
parentsEntry.Clear();
// CL2 [Leaf check] If N is a leaf, return N
while (true)
{
if (n == null)
throw new UnexpectedException("Could not get root node (" + rootNode + ")");
if (n.level == level)
return n;
NodeInternal nodeInternal = n as NodeInternal;
// CL3 [Choose subtree] If N is not at the desired level, let F be the entry in N whose rectangle FI needs least enlargement to include EI. Resolve
// ties by choosing the entry with the rectangle of smaller area.
double leastEnlargement = n.entries[0].Value.Enlargement(ref r);
int index = 0; // index of rectangle in subtree
for (int i = 1; i < n.entryCount; i++)
{
double tempEnlargement = n.entries[i].Value.Enlargement(ref r);
if (tempEnlargement < leastEnlargement || (tempEnlargement == leastEnlargement && n.entries[i].Value.Area < n.entries[index].Value.Area))
{
index = i;
leastEnlargement = tempEnlargement;
}
}
parents.Push(n);
parentsEntry.Push(index);
// CL4 [Descend until a leaf is reached] Set N to be the child node pointed to by Fp and repeat from CL2
n = nodeInternal.childNodes[index];
}
}
/// <summary>
/// Calculate the area by which a rectangle would be enlarged if added to the passed rectangle
/// </summary>
/// <param name="r1">minimum X coordinate of rectangle 1</param>
/// <param name="r2">minimum X coordinate of rectangle 2</param>
/// <returns>return enlargement</returns>
public static double enlargement(Rectangle r1, Rectangle r2)
{
double r1Area = (r1.maxX - r1.minX) * (r1.maxY - r1.minY);
if (r1Area == double.PositiveInfinity)
return 0; // cannot enlarge an infinite rectangle...
double r1r2UnionArea = Math.Max(r1.maxX, r2.maxX) - Math.Min(r1.minX, r2.minX) * (Math.Max(r1.maxY, r2.maxY) - Math.Min(r1.minY, r2.minY));
if (r1r2UnionArea == double.PositiveInfinity)
return double.PositiveInfinity; // if a finite rectangle is enlarged and becomes infinite, then the enlargement must be infinite.
return r1r2UnionArea - r1Area;
}
private bool checkConsistency(NodeBase n, int expectedLevel, Rectangle? expectedMBR)
{
// go through the tree, and check that the internal data structures of the tree are not corrupted.
if (n == null)
throw new UnexpectedException("Error: Could not read node " + this);
// if tree is empty, then there should be exactly one node, at level 1
// TODO: also check the MBR is as for a new node
if (n == rootNode && Count == 0)
{
if (n.level != 1)
throw new UnexpectedException("Error: tree is empty but root node is not at level 1");
}
if (n.level != expectedLevel)
throw new UnexpectedException("Error: Node " + this + ", expected level " + expectedLevel + ", actual level " + n.level);
Rectangle calculatedMBR = n.calculateMinimumBoundingRectangle();
Rectangle actualMBR = n.minimumBoundingRectangle;
if (!actualMBR.Equals(calculatedMBR))
{
if (actualMBR.MinX != n.minimumBoundingRectangle.MinX)
throw new UnexpectedException(" actualMinX=" + actualMBR.MinX + ", calc=" + calculatedMBR.MinX);
if (actualMBR.MinY != n.minimumBoundingRectangle.MinY)
throw new UnexpectedException(" actualMinY=" + actualMBR.MinY + ", calc=" + calculatedMBR.MinY);
if (actualMBR.MaxX != n.minimumBoundingRectangle.MaxX)
throw new UnexpectedException(" actualMaxX=" + actualMBR.MaxX + ", calc=" + calculatedMBR.MaxX);
if (actualMBR.MaxY != n.minimumBoundingRectangle.MaxY)
throw new UnexpectedException(" actualMaxY=" + actualMBR.MaxY + ", calc=" + calculatedMBR.MaxY);
throw new UnexpectedException("Error: Node " + this + ", calculated MBR does not equal stored MBR");
}
if (expectedMBR != null && !actualMBR.Equals(expectedMBR))
throw new UnexpectedException("Error: Node " + this + ", expected MBR (from parent) does not equal stored MBR");
for (int i = 0; i < n.entryCount; i++)
{
if (n.level > 1) // if not a leaf
{
NodeInternal nodeInternal = n as NodeInternal;
if (nodeInternal.childNodes[i] == null)
throw new UnexpectedException("Error: Node " + this + ", Entry " + i + " is null");
if (!checkConsistency(nodeInternal.childNodes[i], n.level - 1, n.entries[i]))
{
return false;
}
}
}
return true;
}
/// <summary>
/// Find the the union of this rectangle and the passed rectangle.Neither rectangle is altered
/// </summary>
/// <param name="r">The rectangle to union with this rectangle</param>
/// <returns></returns>
public Rectangle union(Rectangle r)
{
Rectangle union = this;
union.Add(r);
return union;
}
// deletedMin/MaxX/Y is a rectangle that has just been deleted or made smaller. Thus, the MBR is only recalculated if the deleted rectangle influenced the old MBR
internal virtual void recalculateMBRIfInfluencedBy(ref Rectangle r)
{
if (minimumBoundingRectangle.MinX == r.MinX || minimumBoundingRectangle.MinY == r.MinY || minimumBoundingRectangle.MaxX == r.MaxX || minimumBoundingRectangle.MaxY == r.MaxY)
recalculateMBR();
}