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Titel |
The GPlates Geological Information Model and Markup Language |
VerfasserIn |
X. Qin, R. D. Müller, J. Cannon, T. C. W. Landgrebe, C. Heine, R. J. Watson, M. Turner |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
2193-0856
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 1, no. 2 ; Nr. 1, no. 2 (2012-10-08), S.111-134 |
Datensatznummer |
250000165
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Publikation (Nr.) |
copernicus.org/gi-1-111-2012.pdf |
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Zusammenfassung |
Understanding tectonic and geodynamic processes leading to the present-day
configuration of the Earth involves studying data and models across a
variety of disciplines, from geochemistry, geochronology and geophysics, to
plate kinematics and mantle dynamics. All these data represent a
3-D spatial and 1-D temporal framework, a formalism
which is not exploited by traditional spatial analysis tools. This is
arguably a fundamental limit in both the rigour and sophistication in which
datasets can be combined for geological deep time analysis, and often
confines the extent of data analyses to the present-day configurations of
geological objects. The GPlates Geological Information Model (GPGIM)
represents a formal specification of geological and geophysical data in a
time-varying plate tectonics context, used by the GPlates virtual-globe
software. It provides a framework in which relevant types of geological data
are attached to a common plate tectonic reference frame, allowing the data
to be reconstructed in a time-dependent spatio-temporal plate reference
frame. The GPlates Markup Language (GPML), being an extension of the open
standard Geography Markup Language (GML), is both the modelling language for
the GPGIM and an XML-based data format for the interoperable storage and
exchange of data modelled by it. The GPlates software implements the GPGIM
allowing researchers to query, visualise, reconstruct and analyse a rich set
of geological data including numerical raster data. The GPGIM has recently
been extended to support time-dependent geo-referenced numerical raster data
by wrapping GML primitives into the time-dependent framework of the GPGIM.
Coupled with GPlates' ability to reconstruct numerical raster data and
import/export from/to a variety of raster file formats, as well as its
handling of time-dependent plate boundary topologies, interoperability with
geodynamic softwares is established, leading to a new generation of
deep-time spatio-temporal data analysis and modelling, including a variety
of new functionalities, such as 4-D data-mining. |
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