A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
-
Updated
Jan 3, 2025 - Jupyter Notebook
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.
An active design sandbox for weaving spatial topology and flow-based hierarchies through design computation. Prioritizing connectivity over adjacency.
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.
CEUS reproducibility package for learned-environment planning in county-scale farmland consolidation under multi-objective trade-offs
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.
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.
Add a description, image, and links to the spatial-planning topic page so that developers can more easily learn about it.
To associate your repository with the spatial-planning topic, visit your repo's landing page and select "manage topics."