spatial-planning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

A next-generation, real-time collaborative 3D architectural engine built with Three.js, Laravel 11, and Supabase. Features sub-second syncing, biometric authentication, and enterprise-grade spatial planning right in the browser.

An open web GIS platform with a url API built with Mapbox GL. Prompted from Goa, India.

A computational spatial design environment for generating and exploring architectural spatial configurations from relational graphs, rules, and constraints.

An application that tests the possibilities of using WebXR in spatial planning

A reproducible urban-territorial resilience index prototype for Kaş/Bayındır, Antalya, based on a five-pillar composite indicator framework.

ConstraintCanvas is a WebMCP-powered venue floor planner where humans set the rules and agents optimize within them. Corrections become persistent constraints, proposals stay human-approved, and every decision is enforced by the app.

CEUS reproducibility package for learned-environment planning in county-scale farmland consolidation under multi-objective trade-offs

Technical documentation, architectural specs, and integration guides for the Reinbold Saunabau AI Assistant Suite (Configurator & Spatial Planning).

Reproducible AI-driven planning for county-scale farmland consolidation: contrastive learned-surrogate + MPC pipeline, validated on 128k Chinese cadastral parcels and a public-data US restoration cross-domain test. ArcGIS Pro toolbox + Python CLI. Paper under submission.

This repository contains the data, code, and documentation used to classify and structure the evidence base for the IPBES Spatial Planning and Connectivity Assessment (Chapter 4.2). The workflow combines a review-of-reviews methodology with rule-based keyword classification and backward snowballing to systematically organize literature.