000109723 001__ 109723
000109723 005__ 20230519145608.0
000109723 0247_ $$2doi$$a10.3390/ijgi10060374
000109723 0248_ $$2sideral$$a127253
000109723 037__ $$aART-2021-127253
000109723 041__ $$aeng
000109723 100__ $$aAriza-López, F.J.
000109723 245__ $$aAn analysis of existing production frameworks for statistical and geographic information: Synergies, gaps and integration
000109723 260__ $$c2021
000109723 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109723 5203_ $$aThe production of official statistical and geospatial data is often in the hands of highly specialized public agencies that have traditionally followed their own paths and established their own production frameworks. In this article, we present the main frameworks of these two areas and focus on the possibility and need to achieve a better integration between them through the interoperability of systems, processes, and data. The statistical area is well led and has well-defined frameworks. The geospatial area does not have clear leadership and the large number of standards establish a framework that is not always obvious. On the other hand, the lack of a general and common legal framework is also highlighted. Additionally, three examples are offered: the first is the application of the spatial data quality model to the case of statistical data, the second of the application of the statistical process model to the geospatial case, and the third is the use of linked geospatial and statistical data. These examples demonstrate the possibility of transferring experiences/advances from one area to another. In this way, we emphasize the conceptual proximity of these two areas, highlighting synergies, gaps, and potential integration. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
000109723 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T59-20R
000109723 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000109723 590__ $$a3.099$$b2021
000109723 592__ $$a0.721$$b2021
000109723 594__ $$a5.0$$b2021
000109723 591__ $$aGEOGRAPHY, PHYSICAL$$b24 / 50 = 0.48$$c2021$$dQ2$$eT2
000109723 593__ $$aGeography, Planning and Development$$c2021$$dQ1
000109723 591__ $$aREMOTE SENSING$$b22 / 34 = 0.647$$c2021$$dQ3$$eT2
000109723 593__ $$aEarth and Planetary Sciences (miscellaneous)$$c2021$$dQ1
000109723 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b88 / 164 = 0.537$$c2021$$dQ3$$eT2
000109723 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109723 700__ $$aRodríguez-Pascual, A.
000109723 700__ $$0(orcid)0000-0001-6491-7430$$aLopez-Pellicer, F.J.$$uUniversidad de Zaragoza
000109723 700__ $$aVilches-Blázquez, L.M.
000109723 700__ $$aVillar-Iglesias, A.
000109723 700__ $$aMasó, J.
000109723 700__ $$aDíaz-Díaz, E.
000109723 700__ $$aUreña-Cámara, M.A.
000109723 700__ $$aGonzález-Yanes, A.
000109723 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000109723 773__ $$g10, 6 (2021), 374 [34 pp]$$pISPRS int. j. geo-inf.$$tISPRS International Journal of Geo-Information$$x2220-9964
000109723 8564_ $$s1644366$$uhttps://zaguan.unizar.es/record/109723/files/texto_completo.pdf$$yVersión publicada
000109723 8564_ $$s2749509$$uhttps://zaguan.unizar.es/record/109723/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109723 909CO $$ooai:zaguan.unizar.es:109723$$particulos$$pdriver
000109723 951__ $$a2023-05-18-16:06:12
000109723 980__ $$aARTICLE