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Article

An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration

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Research Group in Cartographic Engineering, GiiC, University of Jaén, 23071 Jaén, Andalusia, Spain
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Centro Nacional de Información Geográfica, CNIG, 28003 Madrid, Madrid, Spain
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Advanced Information Systems Laboratory, IAAA, University of Zaragoza, 50018 Zaragoza, Aragon, Spain
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Centro de Investigación en Computación, Instituto Politécnico Nacional, Ciudad de Mexico 07738, Mexico
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Instituto de Estadística y Cartografía de Andalucía, 41071 Sevilla, Andalusia, Spain
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Grumets Research Group, CREAF, Autonomous University of Barcelona, 08193 Bellaterra, Catalonia, Spain
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Bufete Mas y Calvet, 28006 Madrid, Madrid, Spain
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Instituto Canario de Estadística, ISTAC, 38071 Santa Cruz de Tenerife, Canarias, Spain
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Author to whom correspondence should be addressed.
Academic Editors: Wolfgang Kainz and Huayi Wu
ISPRS Int. J. Geo-Inf. 2021, 10(6), 374; https://doi.org/10.3390/ijgi10060374
Received: 20 April 2021 / Revised: 19 May 2021 / Accepted: 26 May 2021 / Published: 2 June 2021
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. View Full-Text
Keywords: geospatial information; statistical data; framework; interoperability geospatial information; statistical data; framework; interoperability
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MDPI and ACS Style

Ariza-López, F.J.; Rodríguez-Pascual, A.; Lopez-Pellicer, F.J.; Vilches-Blázquez, L.M.; Villar-Iglesias, A.; Masó, J.; Díaz-Díaz, E.; Ureña-Cámara, M.A.; González-Yanes, A. An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration. ISPRS Int. J. Geo-Inf. 2021, 10, 374. https://doi.org/10.3390/ijgi10060374

AMA Style

Ariza-López FJ, Rodríguez-Pascual A, Lopez-Pellicer FJ, Vilches-Blázquez LM, Villar-Iglesias A, Masó J, Díaz-Díaz E, Ureña-Cámara MA, González-Yanes A. An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration. ISPRS International Journal of Geo-Information. 2021; 10(6):374. https://doi.org/10.3390/ijgi10060374

Chicago/Turabian Style

Ariza-López, Francisco J., Antonio Rodríguez-Pascual, Francisco J. Lopez-Pellicer, Luis M. Vilches-Blázquez, Agustín Villar-Iglesias, Joan Masó, Efrén Díaz-Díaz, Manuel A. Ureña-Cámara, and Alberto González-Yanes. 2021. "An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration" ISPRS International Journal of Geo-Information 10, no. 6: 374. https://doi.org/10.3390/ijgi10060374

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