{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/modeling-urbanization-patterns-with","title":"Modeling urbanization patterns with generative adversarial networks","arxiv_id":"1801.02710","date":"2018-01-08","proceeding":null,"authors":["Adrian Albert","Emanuele Strano","Jasleen Kaur","Marta Gonzalez"],"abstract":"In this study we propose a new method to simulate hyper-realistic urban\npatterns using Generative Adversarial Networks trained with a global urban\nland-use inventory. We generated a synthetic urban \"universe\" that\nqualitatively reproduces the complex spatial organization observed in global\nurban patterns, while being able to quantitatively recover certain key\nhigh-level urban spatial metrics.","url_abs":"http://arxiv.org/abs/1801.02710v1","url_pdf":"http://arxiv.org/pdf/1801.02710v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"modeling-urbanization-patterns-with","repo_url":"https://github.com/adrianalbert/citygan","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}