Examples of using Spatial data in English and their translations into Romanian
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Programming
Transforming spatial data Online!
Spatial data modeling(simplicial complexes, realm).
Mass digitization of spatial data|.
National spatial data infrastructure.
That simplify working with spatial data.
Access to spatial data- committee procedure.
Step 2- Progress in identifying the required spatial data.
Comparison of spatial data handlers.
The possibility of creating maps,a detailed study of spatial data.
The National Spatial Data Infrastructure.
Spatial data infrastructure for environmental applications.
The INSPIRE Directive plays a similar role where spatial data are concerned.
Current Status of Spatial Data Infrastructure Moldova and Ukraine».
A scientific foundation in the fascinating fields of spatial data modeling.
Spatial data infrastructure for environmental applications(WEATHER).
Schabenberger O, Gotway CA(2005)Statistical methods for spatial data analysis.
Editing spatial data(points, lines, polygons) along with their attributes.
Step 4- Creation of internet services providing access to view and download spatial data.
Documenting identified spatial data enables them to be found online more easily.
A link with SAP ensures that maintenance data can be combined with spatial data, for instance.
Real-time availability of spatial data in an intuitive web interface. Software.
Today, being constantly developed, FME is the dominant technology for spatial data transformation.
For instance, we create a link to SAP,enabling you to combine maintenance data with spatial data.
Bring spatial data from many sources into the ArcGIS environment for mapping, visualization, and analysis.
INSPIRE is based on a Directive12 that covers spatial data held by public authorities in the Member States.
Our GIS tools allow for advanced analysis andvisual representations of the application's spatial data.
Of them are spatial data, that have to be analyzed and processed, both in real-time and off-line, to extract information.
At this early implementation stage,the low conformity level of spatial data is not surprising(Figure 8).