This work sets out to determine the number of centres with high employment density in metropolitan areas. To do this it uses spatial analysis techniques such as Local Indicators of Spatial Association (LISA). Its most important contribution is the analysed sample: all 359 of the MSAs of the USA...

This paper proposes a novel methodology for delineating urban areas based on a machine learning algorithm that groups buildings within portions of space of sufficient density. To do so, we use the precise geolocation of all 12 million buildings in Spain. We exploit building heights to create a...

This study tackles the description of the size distribution of urban employment centers or, in other words, the size of areas within cities with significantly high density of workers. Certainly, there exists a branch of urban economics that has paid substantial attention to urban employment...