Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …

In this commentary, we describe the current state of the art of points of interest (POIs) as
digital, spatial datasets, both in terms of their quality and affordings, and how they are used …

OpenStreetMap (OSM) has evolved as a popular dataset for global urban analyses, such as
assessing progress towards the Sustainable Development Goals. However, many analyses …

Geospatial data of the building stock is essential in many domains pertaining to the built
environment. These datasets are often provided by governments, but crowdsourcing them …

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 …

In the past 10 years, the collaborative maps of OpenStreetMap (OSM) have been used to
support humanitarian efforts around the world as well as to fill important data gaps for …

In recent years, the concept of proximity has gathered significant attention and the best-
known model dealing with this concept is Carlos Moreno's 15-minute city, where citizens can …

Large-scale microsimulations are increasingly resourceful tools for analysing in detail
citywide effects and alternative scenarios of our policy decisions, approximating the ideal of …

Many recent technological advances (eg ChatGPT and search engines) are possible only
because of massive amounts of user-generated data produced through user interactions …

We offer a review and research agenda for critical remote sensing, defined as inquiries and
scientific practices cognizant of the embedding of power within the production, analysis, and …