LandUseDiversityHM

Urbanization is a defining feature of the contemporary world, with profound implications for both the environment and society. As cities grow, knowing the geographical distribution of land use becomes more important for successful urban planning and administration. Geospatial analytic approaches provide effective tools for analyzing and describing urban settings. This project presents an analysis of urban land use diversity utilizing geospatial methods, focusing on a specific study area and employing open-source libraries and raster data. The analysis uses several open-source Python libraries designed for geographical analysis, including OSMnx, GeoPandas and Rasterio, among others. These libraries provide a comprehensive suite of functions for acquiring, processing, and visualizing geospatial data, enabling a flexible and scalable approach to urban analysis. The project's modular structure enables for seamless adaption to different study areas, facilitating the exploration of urban land use dynamics across diverse geographical contexts.