Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

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

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 and Alberto González-Yanes    

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.

 Artículos similares

       
 
Xuejing Xie, Yongyang Xu, Bin Feng and Wenjun Wu    
The classification of urban functional areas is important for understanding the characteristics of urban areas and optimizing the utilization of urban land resources. Existing related methods have improved accuracy. However, they neglect cognitive differ... ver más

 
Seyed Ali Alavi, Saeed Esfandi, Amir Reza Khavarian-Garmsir, Safiyeh Tayebi, Aliakbar Shamsipour and Ayyoob Sharifi    
This research aims to analyze the relationship between environmental justice and urban green space connectivity in Tehran, Iran. The evaluation of green space connectivity in this study is conducted through two distinct cost layers: one aimed at enhancin... ver más
Revista: Urban Science

 
Athanasios Bakalis, Triantafyllos Makarios and Vassilis Lekidis    
The seismic damage in reinforced concrete bridges is identified in this study using the ?M and P? hybrid technique initially developed for planar frames, where M signifies ?Monitoring? and P denotes ?Pushover analysis?. The proposed methodology involves ... ver más
Revista: Infrastructures

 
Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman    
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ... ver más
Revista: IoT

 
Reenu Mohandas, Mark Southern, Eoin O?Connell and Martin Hayes    
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedure... ver más