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Improving Accuracy in Geospatial Information Transfer: A Population Density-Based Approach

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Improving Accuracy in Geospatial Information Transfer: A Population Density-Based Approach

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dc.contributor.author Pérez, Virgilio es_ES
dc.contributor.author Pavía, Jose es_ES
dc.date.accessioned 2024-09-25T07:36:37Z
dc.date.available 2024-09-25T07:36:37Z
dc.date.issued 2024-07-16
dc.identifier.isbn 9788413962016
dc.identifier.uri http://hdl.handle.net/10251/208631
dc.description.abstract [EN] The R package sc2sc offers fundamental tools for transferring information between census sections and postal codes in Spain, based on the cartography of these geographic segmentations. However, certain aspects for improvement have been identified. This document presents a substantial improvement to the package, optimizing the cp2sc function, which facilitates the transfer of information from postal codes to census sections. The introduced improvement considers population density as a corrective factor in the process, resulting in a more accurate and relevant data allocation. Various use cases highlight the improvement of the new methodology, though they also underline the need to work with updated and precise cartography, opening new lines of research and future work. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 6th International Conference on Advanced Research Methods and Analytics (CARMA 2024)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Spatial statistics es_ES
dc.subject Longitudinal data es_ES
dc.subject Census sections es_ES
dc.subject Postal codes es_ES
dc.subject Sc2sc es_ES
dc.subject R-stats es_ES
dc.subject Geospatial analysis es_ES
dc.title Improving Accuracy in Geospatial Information Transfer: A Population Density-Based Approach es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2024.2024.17796
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Pérez, V.; Pavía, J. (2024). Improving Accuracy in Geospatial Information Transfer: A Population Density-Based Approach. Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2024.2024.17796 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 26-28, 2024 es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2024/paper/view/17796 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\17796 es_ES


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