An empirical study of the limitations of minimum bounding boxes for defining the extent of geospatial resources: the use of DGGS and other alternatives for improving the performance of spatial searches
Martín-Segura, S. (Universidad de Zaragoza) ; López-Pellicer, F. J. (Universidad de Zaragoza) ; Béjar, R. (Universidad de Zaragoza) ; Nogueras-Iso, J. (Universidad de Zaragoza) ; Zarazaga-Soria, F. J (Universidad de Zaragoza)
Resumen: A Minimum Bounding Box (MBB) is a rectangle which bounds a geographic feature or dataset. It is commonly used in spatial information systems as a simplified way of describing the spatial extent of a resource. MBBs are typically indexed for searching and discovering resources relevant to a given geographic area of interest. However, this simplification leads to a loss of precision in the description of the extent and can affect the overall precision of the search results. We propose an alternative technique for describing the spatial extent based on the use of DGGS tiles. To measure the precision improvements offered by our method, we designed and implemented an empirical method for evaluating the average precision, and applied it to three different systems: one based on MBB, another on Convex Hull, and ours based on DGGS. The three methods were evaluated with the same test collection obtained from some of the main European geospatial data catalogues compliant with the INSPIRE directive. The results showed that our method outperformed the other two. Where the catalogue average precision of the MBB search scenarios is between 73% and 97%, the DGGS is between 96% and 99%. Additionally, we propose a realistic method of transitioning from the current technologies to the technology we are proposing, considering the current state of the spatial data infrastructures.
Idioma: Inglés
DOI: 10.1080/13658816.2024.2361274
Año: 2024
Publicado en: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 38, 10 (2024), 2019-2038
ISSN: 1365-8816
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113353RB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/T59-23R
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
Fecha de embargo : 2025-06-05
Exportado de SIDERAL (2024-12-20-12:05:35)
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Idioma: Inglés
DOI: 10.1080/13658816.2024.2361274
Año: 2024
Publicado en: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 38, 10 (2024), 2019-2038
ISSN: 1365-8816
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113353RB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/T59-23R
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. Fecha de embargo : 2025-06-05
Exportado de SIDERAL (2024-12-20-12:05:35)
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Record created 2024-07-11, last modified 2024-12-20