Data di Pubblicazione:
2009
Abstract:
There has recently been a growing recognition of the need for interoperability -
not only in traditionally 'geographic' disciplines (e.g. mapping, physical geography) but
also in more science-focussed disciplines like Earth systems science, geology,
meteorology, oceanography. These latter application domains bring a fresh viewpoint to the
nature of spatial information. While the conventional geographic disciplines have a primary
focus on a 'feature' view (points/lines/polygons with thematic attributes), the scientific
domains utilise a conventional 'coverage' view (thematic properties distributed over some
region in space and/or time). For integrated information systems like SEIS and SISE,
however, a more harmonised model is required. Fundamentally, the feature- and coverageviews are complementary, and any general framework must support both viewpoints. A
framework for harmonisation is offered through the observation process that lies at the
heart of much Earth science data. By recognising that an observation process samples the
natural environment (which may be represented through a feature view) and generates a
coverage result, we are able to reconcile these hitherto different approaches. This
harmonized model supports the different types of discovery and access services useful to
serve the heterogeneous SEIS use cases.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
SDI; Coverage model; Observation & Measurement model; Feature model.
Elenco autori:
Nativi, Stefano
Link alla scheda completa:
Titolo del libro:
Proceedings of the European conference TOWARDS eENVIRONMENT