During my work on the Quadtree Project, I developed a C++ implementation of the quadtree algorithm to simulate query behavior using Unreal Engine. Below are some of the key achievements:

• Implemented a robust quadtree data structure for efficient spatial data management.
• Optimized performance for operations like collision detection in particle systems.
• Provided real-time visualization of quadtree partitions and queried points.

Technologies Used

• Unreal Engine
• C++
• GitHub
• Visual Studio

Challenges and Solutions

• Challenge: Efficient spatial data management.
  Solution: Implemented a quadtree structure for optimized data querying.
• Challenge: Real-time visualization of spatial data.
  Solution: Developed efficient algorithms for updating and rendering quadtree partitions.

Project Achievements

• Enhanced spatial data management and querying.
• Improved performance in collision detection.
• Provided effective real-time visualization of spatial data.

Code Snippets

Below is a key code snippet demonstrating the core quadtree algorithm implementation from the project:

   #include "Quadtree.h"

   // Initialize the quadtree with a center and size
   void AQuadtree::Initialize(FVector InCenter, float InSize)
   {
       Center = InCenter;
       Size = InSize;
       Clear();
   }
   
   // Insert a point into the quadtree
   bool AQuadtree::Insert(FVector Point)
   {
       if (!ContainsPoint(Point)) return false;
   
       if (Points.Num() < Capacity)
       {
           Points.Add(Point);
           return true;
       }
   
       if (!bDivided) Subdivide();
   
       if (NW->Insert(Point)) return true;
       if (NE->Insert(Point)) return true;
       if (SW->Insert(Point)) return true;
       if (SE->Insert(Point)) return true;
   
       return false;
   }
   
   // Query points within a specified range
   TArray AQuadtree::Query(FVector RangeCenter, float RangeSize)
   {
       TArray FoundPoints;
       if (!Intersect(RangeCenter, RangeSize)) return FoundPoints;
   
       for (FVector Point : Points)
       {
           if (FVector::Dist(Point, RangeCenter) <= RangeSize)
           {
               FoundPoints.Add(Point);
           }
       }
   
       if (bDivided)
       {
           FoundPoints.Append(NW->Query(RangeCenter, RangeSize));
           FoundPoints.Append(NE->Query(RangeCenter, RangeSize));
           FoundPoints.Append(SW->Query(RangeCenter, RangeSize));
           FoundPoints.Append(SE->Query(RangeCenter, RangeSize));
       }
   
       return FoundPoints;
   }