SpatialCluster: A Python library for urban clustering

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dc.article.number101739
dc.catalogadorgrr
dc.contributor.authorReyes A.
dc.contributor.authorMendoza Rocha, Marcelo Gabriel
dc.contributor.authorVera, Camila
dc.contributor.authorLucchini Wortzman, Francesca
dc.contributor.authorDimter J.
dc.contributor.authorGutierrez F.
dc.contributor.authorBro N.
dc.contributor.authorLobel Díaz, Hans Albert
dc.contributor.authorReyes A.
dc.date.accessioned2024-05-28T15:33:02Z
dc.date.available2024-05-28T15:33:02Z
dc.date.issued2024
dc.description.abstractThis paper introduces SpatialCluster, a Python library developed for clustering urban areas using geolocated data. The library integrates a range of methods for urban clustering, including Deep Modularity Networks, Gaussian Mixtures, K-Nearest Neighbours, Self Organized Maps, and Information-Theoretic Clustering, providing a comprehensive framework. These methods are evaluated using indices such as the Adjusted Rand Index and Adjusted Mutual Information, and the library includes features for detailed map visualization. SpatialCluster's online documentation offers examples, making the library accessible to researchers and urban planners. The library aims to facilitate urban data analysis and contribute to the field of urban studies.
dc.description.funderNational Center of Artificial Intelligence, Chile
dc.description.funderIMFD ANID
dc.description.funderCENIA
dc.description.funderANID Fondecyt
dc.fechaingreso.objetodigital2024-05-28
dc.fuente.origenSCOPUS
dc.identifier.doi10.1016/j.softx.2024.101739
dc.identifier.issn23527110
dc.identifier.scopusidSCOPUS_ID:85190735676
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85848
dc.information.autorucEscuela de Ingeniería; Mendoza Rocha, Marcelo Gabriel; S/I; 1237020
dc.information.autorucEscuela de Ingeniería; Lucchini Wortzman, Francesca; S/I; 203806
dc.information.autorucEscuela de Ingeniería; Lobel Díaz, Hans Albert; 0000-0003-3514-9414; 131278
dc.language.isoen
dc.nota.accesocontenido completo
dc.publisherElsevier B.V.
dc.revistaSoftwareX
dc.rightsacceso abierto
dc.subjectData science
dc.subjectPython
dc.subjectScientific libraries
dc.subjectUrban clustering
dc.subject.ods11 Sustainable cities and communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleSpatialCluster: A Python library for urban clustering
dc.typeartículo
dc.volumen26
sipa.codpersvinculados1237020
sipa.codpersvinculados203806
sipa.codpersvinculados131278
sipa.trazabilidadSCOPUS;2024-05-05
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