Metadata for GPT Dataset
dc.contributor.author | Santiago-Iglesias, Enrique | |
dc.coverage.spatial | east=-3.734622001647949; north=40.449241306562016; name=Calle del Prof. Aranguren, 5, Moncloa - Aravaca, 28040 Madrid, España | |
dc.data.type | Geospatial | |
dc.date.accessioned | 2025-06-05T09:23:05Z | |
dc.date.available | 2025-06-05T09:23:05Z | |
dc.date.issued | 2025 | |
dc.description | This dataset contains information on foot traffic at points of interest (POIs) over time, based on Google Popular Times estimates. It includes real-time occupancy levels, average hourly and daily visit patterns, user review counts, and average ratings. The data allows for the analysis of urban activity patterns across different locations and time periods. | |
dc.description.abstract | Metadata for the Google Popular Times dataset. Access to the data requires a formal request. | |
dc.description.department | Depto. de Geografía | |
dc.description.faculty | Fac. de Geografía e Historia | |
dc.description.status | pub | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/120952 | |
dc.language.iso | eng | |
dc.publisher | Universidad Complutense de Madrid | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116656RB-I00/ES/EVALUACION, ANALISIS Y PREDICCION DE LOS CAMBIOS EN LA MOVILIDAD URBANA TRAS LA PANDEMIA A PARTIR DE BIG DATA GEOLOCALIZADO/ | |
dc.rights.accessRights | open access | |
dc.subject.keyword | Dataset | |
dc.subject.keyword | Foot traffic | |
dc.subject.keyword | Urban activity patterns | |
dc.subject.ucm | Geografía humana | |
dc.subject.ucm | Geografía económica | |
dc.subject.unesco | 5403 Geografía Humana | |
dc.subject.unesco | 5401 Geografía Económica | |
dc.title | Metadata for GPT Dataset | |
dc.type | dataset | |
dc.type.hasVersion | AM | |
dspace.entity.type | Publication |
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