Free and open source tools present numerous opportunities to support current urban
planning practice. However, their overview is fragmented, and the uptake among planning …

Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …

There is a prevailing trend to study urban morphology quantitatively thanks to the growing
accessibility to various forms of spatial big data, increasing computing power, and use cases …

Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …

Many cities in low-and medium-income countries (LMICs) are facing rapid unplanned
growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is …

The recent growth of geographic data science (GDS) fuelled by increasingly available open
data and open source tools has influenced urban sciences across a multitude of fields. Yet …

Informal areas in the Global South are still relatively under-researched. This is partly due to
the difficulties associated with accessing these areas, especially when it comes to more …

The spatial arrangement of the building blocks that make up cities matters to understand the
rules directing their dynamics. Our study outlines the development of the national open …

Convolutional neural network (CNN)-based remote sensing (RS) image segmentation has
become a widely used method for building footprint mapping. Recently, DeeplabV3+, an …

Details on building levels play an essential part in a number of real-world application
models. Energy systems, telecommunications, disaster management, the internet-of-things …