An analysis of existing production frameworks for statistical and geographic information: Synergies, gaps and integration

Ariza-López, F.J. ; Rodríguez-Pascual, A. ; Lopez-Pellicer, F.J. (Universidad de Zaragoza) ; Vilches-Blázquez, L.M. ; Villar-Iglesias, A. ; Masó, J. ; Díaz-Díaz, E. ; Ureña-Cámara, M.A. ; González-Yanes, A.

Resumen: The 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.

Idioma: Inglés

DOI: 10.3390/ijgi10060374

Año: 2021

Publicado en: ISPRS International Journal of Geo-Information 10, 6 (2021), 374 [34 pp]
ISSN: 2220-9964

Factor impacto JCR: 3.099 (2021)

Categ. JCR: GEOGRAPHY, PHYSICAL rank: 24 / 50 = 0.48 (2021) - Q2 - T2
Categ. JCR: REMOTE SENSING rank: 22 / 34 = 0.647 (2021) - Q3 - T2
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 88 / 164 = 0.537 (2021) - Q3 - T2

Factor impacto CITESCORE: 5.0 - Earth and Planetary Sciences (Q1) - Social Sciences (Q1)

Factor impacto SCIMAGO: 0.721 - Geography, Planning and Development (Q1) - Earth and Planetary Sciences (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T59-20R

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)