UrbanPy: A Library to Download, Process and Visualize High Resolution Urban Data to Support Transportation and Urban Planning Decisions

Autor: Andres Regal, Claudio Ortega, Antonio Vazquez Brust, Michelle Rodriguez, Patricio Zambrano-Barragan
Rok vydání: 2022
Zdroj: Springer Proceedings in Mathematics & Statistics ISBN: 9783031068614
DOI: 10.1007/978-3-031-06862-1_34
Databáze: OpenAIRE