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

Abstract

International audienceThe continuous development of Spatial Data Infrastructures (SDI) provides a favourable context for environmental management and planning. However, it appears that the actual contribution of SDIs should also depend on the correlation between users’ expectations and the services delivered to them. Several studies have addressed some organizational, methodological and technological aspects of the development of SDIs. However, only a few studies have, to the best of our knowledge, studied SDI use at large. This article introduces a methodological approach oriented towards the study of the relationship between SDIs and the users interacting with them as part of their professional practices. Our study is applied to coastal zone management and planning in France. This approach combines structural and data flow modelling. The former is based on Social Network Analysis (SNA) and the latter on Data Flow Diagrams (DFD). This modelling approach has been applied to an online questionnaire and semi-structured interviews. The results identify the SDIs, geographical data flows and institutional levels implied in French coastal zone management and planning

GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis

“…Click here to download Manuscript R_FogSDI_AIHC_RKB_HD_ver26.pdf Click here to view linked References 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 management, healthcare, land use and urban planning, watershed management, marine and coastal management etc. [29,28,11,10]. Cloud-SDI have became an emerging area that has the ability to integrate and analyze heterogeneous thematic layers along with corresponding attributes for creation and visualization of various planning scenarios useful for decision making.…”

“…In early 80s, many national surveying and mapping agencies had planned the coordination of their activities. They felt the need for a strategy for providing unbound access to geographical information tools and it lead to development of Spatial Data Infrastructure (SDI) [28,37,65,13]. The fundamental components of SDI are people, data, policy, networking, and standards as depicted in Figure 1.…”

“…1 The dynamic nature of SDI framework. People rely on data and policy, standards and networks have to facilitate the storage, exchange and analysis of data [28]. standards, and access network are dynamic in nature due to the rapid developments in related technologies [45].…”

“…Spatial Data Infrastructure (SDI) has been facilitated by sharing geospatial data by various stakeholders from local to global level. It has created an environment that enables users to retrieve, access and disseminate geospatial data and related meta-data in a secured way [28]. SDI has the capability for storage, decision making on raw geospatial data, thus bringing geospatial data and related maps to a common scale according to the need of the users.…”

Spatial Data Sharing: A Pilot Study of French SDIs

“…The methodological framework presented is the first stage in comparing declarations on SDIs with data actually shared and geocollaboration actions implemented. The second stage will consist of comparing the SDI promoters' assertions concerning the data and services and the actual use made of them [29]. As [7] quite rightly pointed out: "information should always be viewed within its context".…”