Topic outline
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||Lecture|| This general introduction to distributed Spatial Data Infrastructures is using the European INSPIRE framework as an example and will provide a brief overview of this module's contents and learning objectives.
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Why do we need standards to achieve interoperability, and who are the institutions providing them?
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Working with an SDI, users must not be exposed to explicit transformations between Spatial Reference Systems (SRS). This module introduces standardized SRS definitions, online coordinate transformation services and service-based gazetteer geocoding.
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Starting from the abstraction and modeling of the real world, this lesson will focus on OGC Simple Feature spec's. GML (Geography Markup Language) serves as a common language.
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Spatial Data Infrastructures are based on generic web architectures. This module therefore introduces basic principles of SoA and leads to the use of service interfaces as basic building blocks for any SDI.
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||Lecture|| Interoperability and SoA are fundamental concepts facilitating an SDI. This module provides an overview and introduction to key (OGC) services detailed in subsequent lessons.
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This module provides a practical introduction into WMS and WFS, offering experience with basic handling and insights into differences between these service types.
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These services provide raster and image data, complementing vector-based features. Remote sensing imagery, land cover and digital elevation models are among the resources shared through WCS.
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||Lecture|| Not only the management of data is moving to cloud-based environments, but in particular the delegation of geoprocessing tasks from the desktop to the cloud yields substantial benefits. These include increased scalability, sharing of workflows and ubiquitous browser-based access to analytical functionality.
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Geospatial data are increasingly evolving from a measurement > database > application context towards use as life data streams. This shortens the decision making cycle and enables GIS applications in real time.
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Tesselation (tiling) of big data sets is needed for maintaining the performance of services in demanding environments. WMTS (map) services are eg used for serving standard basemaps, while vector (feature) tile services facilitate client-side rendering.
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||Lecture|| Open Data are an increasingly important foundation for SDIs. While Open Data as such is not (necessarily) a services based concept, open availability of data and services enhances the potential of SDI for public, and public participation applications.
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Metadata, as descriptive entries characterising data sets, define the content of data catalogs. Search and discovery of data and services within a worldwide web infrastructure would not be feasible without metadata and catalog services.
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||Lecture|| Spatial Data Infrastructures are complex webs of interoperating services. For the human user they only are accessible through portal interfaces. Portals typically support multicriteria search and discovery, metadata display and links to visualisation and for app integration. Portals are designed for regional and/or thematic user groups.