000136104 001__ 136104 000136104 005__ 20240711103552.0 000136104 0247_ $$2doi$$a10.1080/13658816.2024.2361274 000136104 0248_ $$2sideral$$a138970 000136104 037__ $$aART-2024-138970 000136104 041__ $$aeng 000136104 100__ $$0(orcid)0000-0003-0287-9488$$aMartín-Segura, S.$$uUniversidad de Zaragoza 000136104 245__ $$aAn 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 000136104 260__ $$c2024 000136104 5060_ $$aAccess copy available to the general public$$fUnrestricted 000136104 5203_ $$aA 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. 000136104 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113353RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/T59-23R 000136104 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/ 000136104 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000136104 700__ $$0(orcid)0000-0001-6491-7430$$aLópez-Pellicer, F. J.$$uUniversidad de Zaragoza 000136104 700__ $$0(orcid)0000-0001-7866-3793$$aBéjar, R.$$uUniversidad de Zaragoza 000136104 700__ $$0(orcid)0000-0002-1279-0367$$aNogueras-Iso, J.$$uUniversidad de Zaragoza 000136104 700__ $$0(orcid)0000-0002-6557-2494$$aZarazaga-Soria, F. J$$uUniversidad de Zaragoza 000136104 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000136104 773__ $$g(2024), [20] pp.$$pInt. j. geogr. inf. sci.$$tINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE$$x1365-8816 000136104 8564_ $$s3232099$$uhttps://zaguan.unizar.es/record/136104/files/texto_completo.pdf$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2025-06-05 000136104 8564_ $$s1796369$$uhttps://zaguan.unizar.es/record/136104/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2025-06-05 000136104 909CO $$ooai:zaguan.unizar.es:136104$$particulos$$pdriver 000136104 951__ $$a2024-07-11-08:38:24 000136104 980__ $$aARTICLE