My new article “Spatial Information and the Legibility of Urban Form: Big Data in Urban Morphology” has been published in the International Journal of Information Management (download free PDF). It builds on recent work by Crooks et al, presenting workflows to integrate data-driven and narrative approaches to urban morphology in today’s era of ubiquitous urban big data. It situates this theoretically in the visual culture of planning to present a visualization-mediated interpretative process of data-driven urban morphology, focusing on transportation infrastructure via OSMnx.
Categories
Big Data in Urban Morphology
- Post author By gboeing
- Post date 2019-11-04
- 1 Comment on Big Data in Urban Morphology
- Tags academia, city, complex systems, complexity, data, data science, design, geography, geopandas, geospatial, gis, information management, information theory, land use, maps, matplotlib, modeling, neighborhood, networks, openstreetmap, osmnx, planning, python, science, smart cities, spatial analysis, street-network, urban, urban design, urban form, urban informatics, urban morphology, urban planning, visualization