Spatial Data Infrastructures in Morocco (From the Diagnosis to the Success of the Implementation)

Author(s):  
Elmostaphi Elomari ◽  
Hassan Rhinane

A spatial data infrastructure (SDI) is a platform for coordinating the exchange and sharing of spatial data between several producers or users of spatially referenced data. In Morocco, there is a massive production of spatial data and several generally public administrations are starting to feel the need for geographic information governance through a mechanism of exchange and management of data to optimize their efforts and avoid a redundant production. The purpose of this chapter is to draw up an inventory of the state of the art of geo-spatial data, systems, and tools existing in the central administrations in Morocco in relation with the collection, management, storage, and dissemination of geographical information. Through this study, it was found that the problem is more a question of global governance, and that the current context has assets for the establishment of a spatial data infrastructure in Morocco.

2013 ◽  
pp. 1794-1808
Author(s):  
Antony K Cooper ◽  
Serena Coetzee ◽  
Derrick G Kourie

User-Generated Content (UGC) in general, and Volunteered Geographical Information (VGI) in particular, are becoming more important as sources for official data bases, such as those used in national Spatial Data Infrastructures (SDIs). Discovering and assessing VGI as suitable geospatial resources for one’s purposes is hence becoming more important, but can be difficult. One way of assessing VGI resources is by classifying them into different types of resources, i.e. a taxonomy of resources. The question is whether such taxonomies can accurately identify suitable VGI resources. We assess five taxonomies both subjectively and using formal concept analysis to determine their discrimination adequacy, that is, how well the taxonomies discriminate between repositories containing UGC in general, or VGI in particular.


2019 ◽  
Vol 8 (6) ◽  
pp. 263
Author(s):  
Tandang Yuliadi Dwi Putra ◽  
Yoshihide Sekimoto ◽  
Ryosuke Shibasaki

Over the last 25 years, the potential benefits of sharing and reusing geographic information for national development programs have led many countries to establish their own national spatial data infrastructure (NSDI). Indonesia is among the early adopters; however, despite its early introduction of NSDI concepts, the implementation has encountered some difficulties. The main objective of this study is to understand the evolution of NSDI development in Indonesia and then develop strategic directions for future implementation. We first characterized periods of current NSDI development based on the use of technology and identified problems that have occurred. To understand the problems’ causes, we conducted a stakeholder analysis utilizing questionnaire surveys. In addition, we analyzed cost components allocated for NSDI operation. The results showed that stakeholders’ low participation was caused by insufficient technological, financial, and human resources to manage geographic information. Subsequently, a strengths-weaknesses-opportunities-threats analysis was conducted to determine proposed directions of the institutional and technical aspects. This research provides the framework for analyzing NSDI evolution in one country—Indonesia. The proposed directions can be applied in other countries to ensure effective NSDI development and implementation.


Author(s):  
Matthes Rieke ◽  
Lorenzo Bigagli ◽  
Stefan Herle ◽  
Simon Jirka ◽  
Alexander Kotsev ◽  
...  

The nature of contemporary Spatial Data Infrastructures lies in the provision of geospatial information in an on-demand fashion. Though recent applications identified the need to react to real-time information in a time-critical way. In particular, research efforts in the field of geospatial Internet of Things have identified substantial gaps in this context, ranging from a lack of standardization for event-based architectures to the meaningful handling of real-time information as ''events''. This manuscript presents work in the field of Event-driven Spatial Data Infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of Spatial Data Infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches - developed in different research projects - to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall Event-driven Spatial Data Infrastructure.


2019 ◽  
Vol 44 (44) ◽  
pp. 73-80
Author(s):  
Risto Kalliola ◽  
Niina Käyhkö ◽  
Sanna Jokela

AbstractThe regional Lounaispaikka-SDI (Spatial Data Infrastructure) in southwest Finland is being developed by a dynamic assembly of the region’s geospatial expertise and its networking, spatial data and geoportal services. Emerging as a data-centric constellation that supported the region’s geographical information professionals, this assembly has developed into a geospatial service with more broadly-focused public information on the region. This development has had five adaptive phases, each as a response to changing local needs and fast-evolving trends in information and communication technologies. Alongside these processes, the Lounaispaikka-SDI has also reinforced the region’s geospatial competencies with benefits offered to academia, public sector institutions, and companies.


2011 ◽  
Vol 5 (2) ◽  
pp. 275 ◽  
Author(s):  
Nicola Ferrè ◽  
Paolo Mulatti ◽  
Matteo Mazzucato ◽  
Monica Lorenzetto ◽  
Matteo Trolese ◽  
...  

Author(s):  
Antony K Cooper ◽  
Serena Coetzee ◽  
Derrick G Kourie

User-Generated Content (UGC) in general, and Volunteered Geographical Information (VGI) in particular, are becoming more important as sources for official data bases, such as those used in national Spatial Data Infrastructures (SDIs). Discovering and assessing VGI as suitable geospatial resources for one’s purposes is hence becoming more important, but can be difficult. One way of assessing VGI resources is by classifying them into different types of resources, i.e. a taxonomy of resources. The question is whether such taxonomies can accurately identify suitable VGI resources. We assess five taxonomies both subjectively and using formal concept analysis to determine their discrimination adequacy, that is, how well the taxonomies discriminate between repositories containing UGC in general, or VGI in particular.


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