Mapping Manhattan’s Growth - Building Construction Time-lapse in Python | скачать в хорошем качестве

Mapping Manhattan’s Growth - Building Construction Time-lapse in Python |

In this video, I’m building a time-lapse visualization showing the evolution of Manhattan’s built-up area using open building data from New York City’s Open Data Portal. I collected and cleaned the building footprint polygons, focusing on Manhattan, and used their construction timestamps to bring the city’s expansion to life, with each frame representing a year of development. The result is a striking time-lapse showing how the borough gradually filled with buildings over the course of 200 years - first, really slow, and then, in a couple of major waves of construction, how the peninsula gets so packed as we know it today. This type of visualization is particularly useful for urban planning and historical analysis - it helps identify growth periods, patterns of densification, and highlights how limited space led to the vertical cityscape that defines Manhattan now. Understanding these dynamics can inform future zoning, redevelopment, and sustainability strategies. Code: https://open.substack.com/pub/milanja... Data source: NYC Open Data – Building Footprints #30DayMapChallenge #Python #GeoPandas #NYC #Manhattan #UrbanPlanning #DataVisualization #Mapping #GIS #CityGrowth #BuildingData #OpenData #Cartography #Animation #SpatialAnalysis