136104 20260218073539.0 doi 10.1080/13658816.2024.2361274 sideral 138970 ART-2024-138970 eng (orcid)0000-0003-0287-9488 Martín-Segura, S. Universidad de Zaragoza 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 2024 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/AEI/PID2020-113353RB-I00 info:eu-repo/grantAgreement/ES/DGA/T59-23R info:eu-repo/semantics/openAccess by-nc https://creativecommons.org/licenses/by-nc/4.0/deed.es 5.1 2024 COMPUTER SCIENCE, INFORMATION SYSTEMS 48 / 258 = 0.186 2024 Q1 T1 GEOGRAPHY, PHYSICAL 9 / 67 = 0.134 2024 Q1 T1 INFORMATION SCIENCE & LIBRARY SCIENCE 21 / 166 = 0.127 2024 Q1 T1 GEOGRAPHY 12 / 174 = 0.069 2024 Q1 T1 1.502 2024 Geography, Planning and Development 2024 Q1 Library and Information Sciences 2024 Q1 Information Systems 2024 Q1 11.2 2024 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0001-6491-7430 López-Pellicer, F. J. Universidad de Zaragoza (orcid)0000-0001-7866-3793 Béjar, R. Universidad de Zaragoza (orcid)0000-0002-1279-0367 Nogueras-Iso, J. Universidad de Zaragoza (orcid)0000-0002-6557-2494 Zarazaga-Soria, F. J Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 38, 10 (2024), 2019-2038 Int. j. geogr. inf. sci. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 1365-8816 3232099 http://zaguan.unizar.es/record/136104/files/texto_completo.pdf Postprint info:eu-repo/date/embargoEnd/2025-06-05 1796369 http://zaguan.unizar.es/record/136104/files/texto_completo.jpg?subformat=icon icon Postprint info:eu-repo/date/embargoEnd/2025-06-05 oai:zaguan.unizar.es:136104 articulos driver 2026-02-17-20:39:48 ARTICLE