Ontology highlight
ABSTRACT:
SUBMITTER: Straulino D
PROVIDER: S-EPMC9626253 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Straulino Daniel D Saldarriaga Juan C JC Gómez Jairo A JA Duque Juan C JC O'Clery Neave N
Royal Society open science 20221102 11
Knowledge of the spatial organization of economic activity within a city is a key to policy concerns. However, in developing cities with high levels of informality, this information is often unavailable. Recent progress in machine learning together with the availability of street imagery offers an affordable and easily automated solution. Here, we propose an algorithm that can detect what we call <i>visible establishments</i> using street view imagery. By using Medellín, Colombia as a case study ...[more]