Data-Driven Urban Planning: Illuminating City Landscapes through Polar Histograms and OSMnx in Python

Urban planning, a multifaceted discipline at the intersection of design, policy, and development, relies heavily on data-driven insights to shape sustainable and efficient cities. As urban environments evolve, so too do the tools and methodologies employed by planners. One such tool is the polar histogram, a unique visualization technique that offers a fresh perspective on spatial data analysis. To comprehend the significance of polar histograms in urban planning, it’s essential to grasp the fundamentals of histograms. Traditionally, histograms represent the distribution of data across different intervals, offering a visual summary of the underlying patterns. In urban planning, histograms have been instrumental in analyzing factors such as population density, land use, and infrastructure. <a href="https://medium.com/@jcacosta285/data-driven-urban-planning-illuminating-city-landscapes-through-polar-histograms-and-osmnx-in-4b23f81ef59b">Click Here</a>