Valores de oferta de tierra urbana en provincia de Buenos Aires | ||
| dc.conicet.datoinvestigacionid | 35197 | |
| dc.conicet.justificacion | ||
| dc.conicet.linkAdjunto | sigeva_files/POSTULANTE/20273255339/DATO/34786/OVS_maps_1.gpkg | |
| dc.conicet.localizacionjson | {"referencia":[{"id":"","nombre":"Buenos 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","tipo":"LUGAR","formato":"","latitud":"","longitud":"","puntosPoligonoList":[]}]} | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.datacite.ContributorName | May, Marcos | |
| dc.datacite.ContributorName | Coletti, Renaldo | |
| dc.datacite.ContributorName | Andrade, Gisel | |
| dc.datacite.ContributorName | Jaimarena, Rocio Maribel | |
| dc.datacite.ContributorName | Rios, Marcelo Ricardo | |
| dc.datacite.ContributorName | Molina, Ervar | |
| dc.datacite.ContributorType | DataCollector | |
| dc.datacite.ContributorType | DataCurator | |
| dc.datacite.ContributorType | DataCurator | |
| dc.datacite.ContributorType | DataCurator | |
| dc.datacite.ContributorType | DataCurator | |
| dc.datacite.ContributorType | DataCollector | |
| dc.datacite.Creator | del Río, Juan Pablo | |
| dc.datacite.Creator | Torres, Diego | |
| dc.datacite.DateType | Creado | |
| dc.datacite.DescriptionType | Información Técnica | |
| dc.datacite.DescriptionType | Métodos | |
| dc.datacite.FunderName | Gobierno de la Provincia de Buenos Aires. Ministerio de Ciencia Tecnologia E Innovacion. | |
| dc.datacite.FundingReference | FITBA 2023-78 | |
| dc.datacite.PublicationYear | 2026 | * |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Científicas y Técnicas | |
| dc.datacite.affiliation | Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada | |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.affiliation | Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente | |
| dc.datacite.awardTitle | Construcción de una plataforma de datos abiertos para el Observatorio de Valores de Suelo de la provincia de Buenos Aires | |
| dc.datacite.date | 10/11/2025-10/11/2025 | |
| dc.datacite.description | Las observaciones surgen de campañas anuales de relevamientos de oferta inmobiliaria de terrenos urbanos o periurbanos (próximos a las áreas urbanas) susceptibles de incorporarse a la dinámica de urbanización. Las fuentes consultadas son los principales sitios inmobiliarios con cobertura en la provincia de Buenos Aires. La unidad de análisis son terrenos libres de mejoras o donde la presencias de las mismas no incida en la formación del precios. | |
| dc.datacite.description | Los datos sufren un proceso de curado automático y manual. Principalmente a partir del control de la ubicación en base al campo de dirección y descripción. Asimismo, se revisa el precio por unidad de superficie en los distintos contextos territoriales para descartar datos atípicos. En aquellos casos que el grado de completitud de las observaciones no permite realizar el curado las mismas no son publicadas. | |
| dc.datacite.language | spa | |
| dc.datacite.publisher | Consejo Nacional de Investigaciones Científicas y Técnicas | * |
| dc.datacite.resourceTypeGeneral | dataset | * |
| dc.datacite.subject | Estudios Urbanos | |
| dc.datacite.version | 1.0 | |
| dc.date.accessioned | 2026-06-01T10:56:25Z | |
| dc.date.available | 2026-06-01T10:56:25Z | |
| dc.date.updated | 2026-06-01T10:54:02Z | |
| dc.description.abstract | En esta primera versión los datos se publican en servicio web WMS, a través de la IDEBA en el marco de la adhesión que la CIC suscribió con dicho organismo. El estándar OGC® Web Map Service (WMS) proporciona un interface HTTP para la petición de imágenes de mapas registradas desde una o más Bases de Datos Geoespaciales. La respuesta a la petición es una o más imágenes de mapas (devueltas como JPEG, PNG, etc.) que se pueden visualizar en buscadores y aplicaciones desktop. (http://www.opengeospatial.org/standards/wms). Próximamente se espera publicar los datos a través del estándar de interface OGC® Web Feature Service (WFS) define operaciones Web de interface para la consulta y edición de entidades geográficas (en inglés features) vectoriales, como por ejemplo carreteras o líneas de contorno de lagos. (http://www.opengeospatial.org/standards/wfs) | |
| dc.description.fil | Fil: del Río, Juan Pablo. Provincia de Buenos Aires. Gobernación. Comision de Invest.científicas. Laboratorio de Invest.del Territorio y El Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | |
| dc.description.fil | Fil: Torres, Diego. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina | |
| dc.identifier.citation | del Río, Juan Pablo; Torres, Diego; (2026): Valores de oferta de tierra urbana en provincia de Buenos Aires. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/288404 | * |
| dc.identifier.institucional | CONICET | |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/288404 | |
| dc.rights | info:eu-repo/semantics/openAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | * |
| dc.subject.keyword | Valores de oferta | |
| dc.subject.keyword | Tierra urbana | |
| dc.subject.keyword | Curado de datos | |
| dc.subject.keyword | Observatorio de valores de suelo - PBA | |
| dc.title | Valores de oferta de tierra urbana en provincia de Buenos Aires | |
| dc.type | dataset | * |
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OVS_maps_1.gpkg
En la actualidad la muestra de datos reune más de 17 mil observaciones curadas, pero se encuentra en un proceso de supervisión que puede dar lugar a ajuste en algunas observaciones.
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