A modelling framework for the study of Spatial Data Infrastructures applied to coastal management and planning

Jade Georis-Creuseveau (1) , Christophe Claramunt (2) , Françoise Gourmelon (1)

1 LETG - Brest - Littoral, Environnement, Télédétection, Géomatique
2 IRENAV - Institut de Recherche de l'Ecole Navale

Nowadays the continuous development of Spatial Data Infrastructures provides a favorable context for environmental management. But in fact, the real contribution of SDIs depends on the answers they provide to their users. To the best of our knowledge, few studies have addressed SDI uses at large. The research presented in this paper introduces a novel methodological approach for the study of SDI uses within the context of Integrated Coastal Zone Management (ICZM) in France. We develop a two-tier approach that combines a structural and data flow modeling analysis based on Social Network Analysis (SNA) and Data Flow Diagrams (DFD) applied to an online questionnaire and semi-structured interviews. The results reveal a multi-SDIs and multi-levels use which is structured around several key SDIs whose role is particularly significant, but complemented by a series of ‘minor’ SDIs. This use is also based on information flows between SDIs and other entities (e.g. institutional partners, working group) involved in the sharing of the geographical information within the framework of French coastal management.

Mots clés: Data Flow Diagram (DFD); Social Network Analysis (SNA); SDIs use; Spatial Data Infrastructures (SDI); coastal stakeholders

Domaines: Informatique [cs]

Jade Georis-Creuseveau, Christophe Claramunt, Françoise Gourmelon. A modelling framework for the study of Spatial Data Infrastructures applied to coastal management and planning. International Journal of Geographical Information Science, 2017, 31 (1), pp.122-138. ⟨10.1080/13658816.2016.1188929⟩. ⟨hal-02139336⟩