SDI.ppt

What is a Spatial Data
Infrastructure (SDI)?
“The SDI provides a basis for spatial data
discovery, evaluation, and application for users
and providers within all levels of government,
the commercial sector, the non-profit sector,
academia and by citizens in general.”
--The SDI Cookbook
http://www.gsdi.org

Introduction
• National Spatial Data Infrastructure for the availability of and
access to organized spatial data, use of Spatial Data Infrastructure
at Local, State, Regional and National level for sustained
economic growth.
• Convincing the Stakeholders involved Data Collection and
Sharing Standards, Major Institutions and Technical Aspects
involved in the study ensure the successful implementation of
NSDI.
• It is explaining the web base NSDI data management and sharing
among the different enterprises under the specific standards.

Components of a Spatial Data
Infrastructure (SDI)
• Policies & Institutional Arrangements (governance,
data privacy & security, data sharing, cost recovery)
• People (training, professional development,
cooperation, outreach)
• Data (digital base map, thematic, statistical, place
names)
• Technology (hardware, software, networks, databases,
technical implementation plans)

Reasons to Transfer GIS into SDI
As SDI provides access and data sharing,
Interoperability, Local Management, Portability
Reasons are:
• Non-usability of GIS
• Market growth for GI(S) industry
• Government initiatives at all levels
• Economic pressure to recover investments

Scope
Major focus in this project will be on exploring
the available solutions for defining the NSDI
extent and techniques and methods available for
delineating different aspects specifically
Institutional, Technical aspects.

Objective
The main objective of NSDI is development of
spatial data databases and direct transfer of those
data between state institutions, local and regional
self-government, public system and economy
altogether oriented towards user needs.

Components of NSDI
• The components of SDI provides framework of
spatial data, metadata, users and tools that are
interactively connected in order to use spatial data in
an efficient and flexible way.
• Main components are listed below:

Metadata
GEOdata
Clearinghouse (catalog)
Framework
Standards
Partnerships
Metadata
Standards
Partnerships
Discovery Access
Services
Processing
Framework GEOdata

 Metadata describes data and service resources
for order, access, or local use
 Metadata is used to describe all types of data,
emphasis on ‘truth in labeling’
Metadata
Geospatial Data
Services

 Special-use thematic layers are built and
described as available geospatial data
Common data layers are being defined in
the Framework activity
Metadata
Framework GEOdata

Digital orthoimagery
Elevation and bathymetry
Boundaries
Railroads
Geodetic
Federal
State
Local
Private
Utilities
Spatial Analysis Base for Other Data Finished Maps
Roads
Cadastral
Hydrography
Spatial Analysis Base for Other Data Finished Maps
Framework

Institutional Frameworks
The framework is a collaborative community based
effort in which these commonly needed data themes
are developed, maintained, and integrated by public
and private organizations within a geographic area
Enterprise under study:
Department of Solid Waste Management.
Department of Education.

Institutional Frameworks
GIS-Based Analysis determined for SWM:
o Proper Allocation and Relocation of waste bins
o New disposal site selection using a Multi-Criteria Decision Analysis.
o Estimation of Municipal waste generation, collection and Determination of Waste
generation.
o GIS-based Transportation Model for Solid Waste disposal.
o Analysis and Monitoring of Waste Flow.
o Selection of Collection Points (Interface between Primary and Secondary Collection)
and their Distribution.
o Cost Effectiveness Analyses against Different Collection Options for different Areas.
o Transfer Station Site Selection for long distances
o Composting, Incinerator and Recycling Site Selection
o Future Forecasting of Solid Waste Generation for Anticipation to deal Consequences

Suggestion for Base Layers for SWM:
 Boundary
 Roads
 Railways Crossings
 Water Bodies
 Landmarks

Capacity Building:
The development of knowledge, skills and attitudes in
individuals and groups of people relevant in design,
development, management and maintenance of institutional
and operational infrastructures and processes that are locally
meaningful
Motivation provided to SWM Department towards NSDI.
Identified their problems and provided solutions under NSDI.

System Implementation
We have designed the PNSDI (Pakistan National
Spatial Data Infrastructure) for the clients to the
better and direct access to the Spatial Data at
National Level, as it includes the Servers of Federal
Enterprises which has all the detail of the
Enterprises.

Prototype for PNSDI
NSDI WEBSITE
Login
Search for
Spatial Data
(NSDI
Metadata
server)
Pre-view
Spatial data
(NSDI Data
Servers)
Download
Spatial data
(NSDI Data
Servers)
Secure access
Gateway
Secure access
Gateway
GIS Applications
PNSDI PROTOTYPE
Define Require
Data
Place Order
for
Download

• In our project, we have tried our best to suggest NSDI for Pakistan. This thesis provides the basic
framework and roadmap for the implementation of this system in reality. This provides the open
geospatial platform for any user to access the spatial data related to different enterprise.
• This study provide new horizons for the best access to data we have covered all the aspect related
to server end up to client end based on conceptual and logical designing. The diagrammatic
notations provide the better way to understanding the whole system for the other people.
• We have worked on institutional & technical aspects but up to some extent. In future we can also
work on these following aspects of NSDI:
• Appreciation Aspect
• Institutional Aspect
• Technical Aspect
• Implementation Aspect
• Monitoring and Controlling Aspect
• Legal Aspect
• Economic Aspect
• Educational Aspect
FUTURE DIRECTIONS

SDI.ppt

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SDI.ppt