An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/6/374 |
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| author | Francisco Javier Ariza-López Antonio Rodríguez-Pascual Francisco J. Lopez-Pellicer Luis M. Vilches-Blázquez Agustín Villar-Iglesias Joan Masó Efrén Díaz-Díaz Manuel Antonio Ureña-Cámara Alberto González-Yanes |
| author_facet | Francisco Javier Ariza-López Antonio Rodríguez-Pascual Francisco J. Lopez-Pellicer Luis M. Vilches-Blázquez Agustín Villar-Iglesias Joan Masó Efrén Díaz-Díaz Manuel Antonio Ureña-Cámara Alberto González-Yanes |
| author_sort | Francisco Javier Ariza-López |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:47:17Z |
| format | Article |
| id | doaj.art-e341a36fbeb141149ff12f3dba37c16f |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T10:47:17Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-e341a36fbeb141149ff12f3dba37c16f2023-11-21T22:30:50ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-06-0110637410.3390/ijgi10060374An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and IntegrationFrancisco Javier Ariza-López0Antonio Rodríguez-Pascual1Francisco J. Lopez-Pellicer2Luis M. Vilches-Blázquez3Agustín Villar-Iglesias4Joan Masó5Efrén Díaz-Díaz6Manuel Antonio Ureña-Cámara7Alberto González-Yanes8Research Group in Cartographic Engineering, GiiC, University of Jaén, 23071 Jaén, Andalusia, SpainCentro Nacional de Información Geográfica, CNIG, 28003 Madrid, Madrid, SpainAdvanced Information Systems Laboratory, IAAA, University of Zaragoza, 50018 Zaragoza, Aragon, SpainCentro de Investigación en Computación, Instituto Politécnico Nacional, Ciudad de Mexico 07738, MexicoInstituto de Estadística y Cartografía de Andalucía, 41071 Sevilla, Andalusia, SpainGrumets Research Group, CREAF, Autonomous University of Barcelona, 08193 Bellaterra, Catalonia, SpainBufete Mas y Calvet, 28006 Madrid, Madrid, SpainResearch Group in Cartographic Engineering, GiiC, University of Jaén, 23071 Jaén, Andalusia, SpainInstituto Canario de Estadística, ISTAC, 38071 Santa Cruz de Tenerife, Canarias, SpainThe 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.https://www.mdpi.com/2220-9964/10/6/374geospatial informationstatistical dataframeworkinteroperability |
| spellingShingle | Francisco Javier Ariza-López Antonio Rodríguez-Pascual Francisco J. Lopez-Pellicer Luis M. Vilches-Blázquez Agustín Villar-Iglesias Joan Masó Efrén Díaz-Díaz Manuel Antonio Ureña-Cámara Alberto González-Yanes An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration ISPRS International Journal of Geo-Information geospatial information statistical data framework interoperability |
| title | An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration |
| title_full | An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration |
| title_fullStr | An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration |
| title_full_unstemmed | An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration |
| title_short | An Analysis of Existing Production Frameworks for Statistical and Geographic Information: Synergies, Gaps and Integration |
| title_sort | analysis of existing production frameworks for statistical and geographic information synergies gaps and integration |
| topic | geospatial information statistical data framework interoperability |
| url | https://www.mdpi.com/2220-9964/10/6/374 |
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