Structural Network Engine is a computational framework for extracting structural networks from spatial point cloud datasets.
The engine identifies and reconstructs:
- structural trunks
- backbone networks
- topological nodes
- branching structures
- multi-scale connectivity graphs
The system is designed to work with very large datasets including:
- cosmological galaxy surveys
- LiDAR point clouds
- geospatial datasets
- infrastructure networks
Structural Network Engine can be applied to:
- Cosmic web reconstruction
- Urban infrastructure analysis
- Geological fracture networks
- River and drainage systems
- Biological vascular networks
A web interface allows users to upload datasets and run the structural detection algorithm.
Features:
- user accounts
- credit-based processing
- Stripe payment integration
- dataset upload
- automated structural extraction
backend/ server.py algorithm.py db.py
frontend/ index.html login.html register.html analysis.html
The goal of Structural Network Engine is to provide a universal structural extraction engine capable of identifying networks hidden inside large spatial datasets.
Early prototype.
Currently being tested on cosmological datasets (SDSS).