Transforming geographic information into new spatial data models

Doctoral Thesis: Transforming geographic information into new spatial data models in
compliance with laws and regulations applicable to multiuser spatial databases.
PhD Student: Rafael Sierra Requena
Supervisor/s: José Carlos Martinez Llario and Eloina Coll Aliaga.
Nowadays new technologies are changing the way we collect, store, distribute and use
geographic information. One of the most important factors of change is the standardization of
spatial data in compliance with international laws and regulations, such as ISO 19100. The
implementation of standards increases the quality and interoperability of spatial data structure
and contents, thus facilitating the reuse of transboundary common spatial data by users, who
would benefit from it independently from any Geographical Information System software.
Within this framework of spatial data standardization, both the European Directive INSPIRE
(2007/2/CE) and its transposition to the Spanish law (Ley 14/2010) are based on ISO 19100
regulations, and they both enact new data models for storing and distributing geographic
information on various themes through web services.
This thesis intends to transform the existing geographic information - in national, regional and
local cartography - into new spatial data models. For that purpose, the INSPIRE Directive
spatial data models on UML Language will be analysed first, then modified and adapted to be
used at the different levels of the Spanish Public Administration. The result will be new and
interrelated spatial data models, which will provide a wide and unique framework for land
management. Furthermore, it will allow cartographic rendering and geospatial analysis with
different theme layers, such as the analysis of relationships between administrative units;
protected sites; hydrography; transport networks; etc.
Different methodologies like ETL Tools, scripting or data mining will be test for transforming
current geographic information into newly designed spatial data models.
Therefore, the main goals of this thesis will be to research new spatial data model adapted to
the INSPIRE regulations; to promote a methodology for transforming current geographic
information; and to study implementation on spatial databases or non SQL databases that
provide local or cloud services. Finally, the result will be allowing the access, query and
editing of standard geographic information to Spanish Public Administration users.
Available Means:
Computer equipment, applications and servers of UPV. Also, Access and utilization of
services of the Engineering Department on Cartographic, Geodesy and Photogrammetry.
Sierra Requena, R., Sevilla Sánchez, C. & Nuñez Maderal, E. (2015). Hidrographic spatial
transformation with open source ETL tools. IX Jornadas de SIG Libre de Girona (Spanish
PhD PROGRAMME IN GEOMATICS ENGINEERING. Universitat Politècnica de València Email: [email protected]
FOSS4G Meeting).
Sierra Requena, R., Merino, J.A., Gullón, T. (2014). National Topographic Database
Production through PostGIS spatial database. VIII Jornadas de SIG Libre. (Spanish FOSS4G
Ruiz-López, F.; Coll Aliaga, E.; Martínez Llario, JC. (2011). Analyzing and testing strategies
to guarantee the topological relationships and quality requirements between networks inside
BTA and BTU data models. Lecture Notes in Computer Science.
Eduardo Núñez, Nuria Valcárcel, Julián Delgado (Instituto Geográfico Nacional). Estado
actual de producción de IGR de Hidrografía del IGN” Celia Sevilla (Centro Nacional de
Información Geográfica). JIIDE 2015.
Martinez Llario, J. C., Coll Aliaga, E., Sierra Requena, R. (2010). Spatial Data Model for
Local government with the INSPIRE rules. 7th International Symposium on Spatial Data
Quality – Coimbra 2011.
PhD PROGRAMME IN GEOMATICS ENGINEERING. Universitat Politècnica de València Email: [email protected]