International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
recognition that the data layers and tables in most GIS
implementations come from multiple organizations. An
organization typically develops some, but not all, of its own
spatial data content. At least some of the layers will be from
external sources. Thus GIS data management, by its very
nature, is distributed among many users (ESRI. March 2003).
GIS requires a distributed information system concept to
manage and share spatial data. Because GIS users are hungry
for quality geographic information, there is a fundamental
need for users to share their data. Today, thousands of
organizations worldwide invest billions of dollars annually
automating and integrating map information for their focused
GIS projects. Their need for up-to-date geographic
information drives these efforts. SDI has become an essential
2. Information Modeling for Spatial Data Infrastructure
A Spatial Data Infrastructure interconnects GIS nodes across
the World Wide Web to promote information sharing and
access. The SDI concept binds many GIS nodes into loosely
Figure 1 : Building Blocks of SDI
In practice, each node in an SDI would be built to provide
one or more of these three capabilities. For example, a city
might provide a catalog referencing the available data and
services at its Web site along with a series of data and
mapping services. A small GIS shop would be able to access
and use those services in their Software seat across the
Internet. In another case, a state government might provide
the metadata catalog describing its services as well as data
and services at other GIS portals within the state. The state
might also publish GIS Web services with a set of HTML
clients to access various Internet map and data services. At
its most basic level, a Spatial Data Infrastructure is realized
through a catalog holding metadata about available data and
services. As the number of participating organizations and
users grow, so will the numbers of entries and complexity of
the metadata catalog. The role of a metadata server and
search tools becomes more critical. Metadata server makes
accessing and managing geographic data simple.
3. Building National and Global Data Models for
SDI
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tool when information integration is critical. It works with
geographic information from many sources to support a
broad range of applications. SDI can repurpose information
for new applications that go beyond the data's original intent.
For example, information compiled for land records
management can be used for environmental applications,
utilities, emergency response, homeland security, and many
other applications. Spatial data management includes not
only data collection but also data dissemination.
Interoperability enables data sharing between organizations
and across applications and industries, which results in the
generation and sharing of more useful information.
coupled information networks. There are three functional
node in information model of SDI.
GIS Users—-A wide range of users who connect to the
catalogs, search for useful geographic information, and then
connect to GIS portals that provide the information access.
GIS Users can find the data they need, quickly review and
display its contents, and read or create metadata. GIS Users
can also manage spatial data stored in folders on local disks
or in relational databases that are available on their network.
Metadata Catalogs--A series of well-organized catalogs that
describe and reference geographic information sets at each
node. Metadata is information about GIS data describing a
collection of data. Metadata for geographical data may
include the source of the data, its creation date and format,
its projection, scale, resolution, and accuracy, and its
reliability with regard to some standard.
GIS Portal--A GIS portal that provides access to FTP
download sites, maps, reports, Internet GIS services, and so
on. GIS Portal publishes GIS Data & Services &
Documents. A broad range of GIS users access metadata
and services with any client (wireless, html, java,pocket PC,
windows).
GIS professionals are learning about the benefits of a Spatial
Data Infrastructure (SDI). The SDI, developed by national,
state, and local governments, promotes the vision of a
framework for GIS users to openly share geographic
information with one another. The SDI is meant to address
the needs for users to interconnect their existing GIS nodes
across the Internet (and in many cases over secure networks)
in order to share information with one another openly (i.e.,
based on standards). Many people are familiar with the term
NSDI, or National Spatial Data Infrastructure, a concept
defined as the technologies, policies, and people necessary to
promote the sharing of geospatial data throughout all levels
of government, the private and nonprofit sectors, and the
academic community. Recent discussions have revolved
around the GSDI, or Global Spatial Data Infrastructure,
which describes a framework for data sharing at the global
level. Many GIS users want to provide information portals to
publish a metadata catalog for their collection of GIS data
and services. A few clearinghouse sites want to provide a
catalog of information sets published by many users.
Sometimes the data and services will be published for a user's
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