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GIS data standards
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Created by
Aveela JOSEPHS
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Cards (27)
The objective of data standards is to ensure data can be
understood
and used
consistently
by different users
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Data standards
Provide definition for data structure, data content, and rules to increase
mutual understanding
, eliminate technical
problems
in data exchange, and increase data integration and interoperability
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Levels of data standardization
Generic
standardization (syntax, data description)
GIS
application-independent
standardization (geometry, topology, quality, metadata)
GIS
application-specific
standardization (for specific applications like cadastre, utilities, urban planning)
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The Open Geospatial Consortium (
OGC
) was established in
1994
to develop open solutions for geographic information processing
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Elements of OGC standardization
Conceptual
modeling and
application
schema
Data transfer
formats
Data encoding
Spatial
representation
Spatial
referencing
Temporal
characteristics
Data quality description
and
evaluation
Visualization
and
portrayal
Geographic information services
and
interfaces
Object
catalogues
and
metadata
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Conceptual modeling
Abstract representation of real-world features, using formal conceptual schemas to describe the universe of
discourse
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Object-oriented modeling
Each
data element
is considered an object in the
standardization
work
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Conceptual schema language
Unified Modeling Language
(UML) is commonly used to develop
conceptual
schemas and templates
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Standard transfer formats
Include attribute, spatial, and
metadata
files, as well as rules for geometry transfer, linking
geometry
and attributes, and metadata transfer
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Standard transfer format files should include
rules
defining how the data is to be
transferred
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Different files
contribute
together to form a
single file
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Standard transfer format files should include
rules
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Rules
Define how the
geometry
is transferred
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Transfer of
links
Between the
geometry
and
attribute
data
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Attribute data transfer
How it is done
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Transfer of metadata
How the metadata is transferred
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Encoding
Rules
allow geographic information to be coded into a system of
independent data structure
suitable for transport or storage
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Components of encoded data
Head
Index
Data dictionary
Data elements
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Spatial
representation
Vector
data model or
raster
data model
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Spatial
referencing
Datum,
anchor point
,
prime meridian
, coordinate system with units, direction, sequence of axes
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Temporal characteristics
Use of ISO
8601
calendar and
24
hour coordinate universal time
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Elements of data quality statements
Positional accuracy
Attribute accuracy
Temporal accuracy
Completeness
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Visualization/Portrayal
Use of computer
graphic
standards like OpenGL,
GKS
to visualize geometry
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Geographic Information Services and Interface standards
Allow users to access and
process
geographic data from variety of sources across
computing
interfaces
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Themes for application level standardization
Buildings
Transport
Utilities
Land use
Administrative units
Water
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Metadata
Data about data, describing who, what, where, when, how of the data
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Metadata attributes
Data set identification
Constraints
Data quality
Content information
Portrayal catalog
Distribution
Extension information
Extent
Citation
Responsible party
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