Spatial Data Infrastructure (GEOM90015)

AIMS

In this subject, students will learn about the principles, concepts and design strategies used in the development of Spatial Data Infrastructure (SDI) as an enabling platform to facilitate multi-sourced data and service discovery, access, integration and use. An example of SDI is the land titles system and the tools used to maintain and interrogate it. Emphasis will be placed on both technological and institutional factors that facilitate the development of SDIs. Students will examine related disciplines such as land and marine administration as well as technical areas such as interoperability, web-mapping and web-delivery to better meet sustainable development objectives. This subject is of particular relevance to students who want to pursue a career in spatial data management, land administration, but is also relevant to a range of geomatic engineering disciplines that use and produce large spatial datasets for decision-making in support of sustainable development.

The subject partners with other subjects on spatial data management, spatial data analysis and spatial data visualization, and is of particular relevance to people wishing to establish a career in the spatial information industry, the environmental or planning industry.

INDICATIVE CONTENT

SDI concepts and theory, current SDI initiatives, SDI development strategies and development models; SDI as an enabling platform, SDI and Spatially Enabled Government and Society, SDI and partnership approaches, financing and capacity building, challenges for developed and developing countries, capacity building, marine SDI and seamless SDI, policy and privacy Issues, SDI and land administration, metadata, standards and clearinghouses, SDI application areas, and SDI implementation and benchmarking.