A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
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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 lightweight and customizable web GIS platform for the state of Goa, India. Designed as a community maintained tool for hyperlocal spatial data exploration and decision making.
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
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.
Web-based urban digital twin prototype for neighbourhood-scale energy and ecology scenario planning in Twekkelerveld, Enschede.
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