by Bang Tran, Sovann Prey, Yusfir Ahmad
The initiative of an SDI is to promote the needs of sharing the spatial data surrounded by the different level of hierarchy which currently is leveled within global, regional, national, state and local. In principles, by having the entire spatial data shared under one roof, and on a reachable environment, an affiliation of a spatial enabled society is created and a wide-range of information is enabled for the stakeholder’s access thus creating a great environment and working space for first-class outcomes of improved decision area.
Having SDI on the move is not as easy as it sees; challenge may be coming from stakeholders that have a privacy issue; non-standard supply of the data and technology; and requires a mutual understanding between stakeholders and society on how important it is in creating an entities with good SDI initiatives and allowing effectives result of accessing precise and reliable spatial data.
In this paper, we reviewed various options and fundamental of spatial data implementation includes the INSPIRE model case study on the technical phase. The technical components have also been defined with various formats and standards in practices and establishes by OGC. This report also reviewed, discussed and assessed different aspects of technical components in the development of SDI and their issues in the implementation. We also discovered the difficulties and how these issues can have impacts on an organization’s motivations towards the realizations of SDI initiatives.
One of the key successful criteria of an SDI is access and interaction from various sources. This is to ensure the spatial data is consistent and heterogeneity towards delivery of a diverse spatial services with different needs of different stakeholders. To meet this aims, facilitation of integration of data within multi-sources is desirable, so that the spatial data can be communicated across the needs of information.
It is vital that to overcome many technical issues, an understanding for a collaboration of a single frameworks for each technical and non-technical components can be established and integrate as a platform and able to serve the environment of multi-sources spatial data.
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