The document discusses the key components and concepts of a National Spatial Data Infrastructure (NSDI). An NSDI aims to integrate distributed geospatial data through partnerships between different levels of government and private organizations. It establishes standards, frameworks and metadata to facilitate discovery and sharing of geospatial data. Central to an NSDI is a clearinghouse that allows users to search metadata from distributed servers according to common protocols. When properly implemented through the coordination of stakeholders, an NSDI can help reduce data duplication, lower costs and make critical spatial information more accessible.
Geo-referencing is GIS based spatial analysis technique which is discussed in this presentation.For video you can see following link:
https://www.youtube.com/watch?v=h559lOsvOU8&feature=youtu.be&fbclid=IwAR3PB9YB4i86zrYyzxbiz_g2-4_ujowdO1gfm4Lz5E3vGf56Fn5DAzeUA_8
Geo-referencing is GIS based spatial analysis technique which is discussed in this presentation.For video you can see following link:
https://www.youtube.com/watch?v=h559lOsvOU8&feature=youtu.be&fbclid=IwAR3PB9YB4i86zrYyzxbiz_g2-4_ujowdO1gfm4Lz5E3vGf56Fn5DAzeUA_8
An introduction to GIS Data Types. Strengths and weaknesses of raster and vector data are discussed. Also covered is the importance of topology. Concludes with a discussion of the vector-based format of OpenStreetMap data.
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTORRaster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
GIS for Transportation Infrastructure ManagementEsri
Being able to visualize your assets and the surrounding environment when you build, upgrade, or repair transportation infrastructure helps you prioritize your work and make the right decisions.
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data. The acronym GIS is sometimes used for geographical information science or geospatial information studies to refer to the academic discipline or career of working with geographic information systems and is a large domain within the broader academic discipline of Geoinformatics. In the simplest terms, GIS is the merging of cartography, statistical analysis, and computer science technology.
This is most benificial for the First year Engineering students.This presentation consists of videos and many applications of GIS. The processes and the other parts of GIS is also nicely explained.
SDI in Croatia; shifting from NSDI 1.0 to NSDI 2.0Tomislav Ciceli
Croatia has strong legacy in Spatial Data Infrastructure (SDI) domain. First activities started already at the begging of 21st century with few studies about possibilities for data exchange between different institutions on governmental level. All activities which followed those studies were formalised in Act on State Survey and Real Cadastre in 2007 (Official Gazetteer 13/2007). In period after Law come in force all activities were focused on formal framework of establishment of National Spatial Data Infrastructure (NSDI) which resulted with three level hierarchy of NSDI Bodies; Council, Board and Working groups. That period can be treated like phase 1.0 of SDI establishment in Republic of Croatia. From 2013 Croatia become member of European Union and with other obligations we needed to transpose Directive 2007/2/EZ to our legislation which was made in May of 2013 with Act on National Spatial Data Infrastructure (Official Gazetteer 56/2013). With that Act Croatia become legally compatible with EU legislation in domain of SDI and implementation on operational level started. Formal structure was kept, with introducing State Geodetic Administration like National Contact Point for NSDI and INSPIRE. Many new activities come with putting Act on NSDI in force; creating of NSDI Registries, creating of National metadata catalogue and publishing of National geoportal. During 2014 activities on Monitoring of SDI/INSPIRE in Croatia also were accomplished. All those activities were very operational, with focus on real implementation and according to that that phase can be treated like phase 2.0. in SDI development in Republic of Croatia. In scope of this work brief overview of main activities for phase 1.0 and phase 2.0 will be made.
An introduction to GIS Data Types. Strengths and weaknesses of raster and vector data are discussed. Also covered is the importance of topology. Concludes with a discussion of the vector-based format of OpenStreetMap data.
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTORRaster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
GIS for Transportation Infrastructure ManagementEsri
Being able to visualize your assets and the surrounding environment when you build, upgrade, or repair transportation infrastructure helps you prioritize your work and make the right decisions.
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data. The acronym GIS is sometimes used for geographical information science or geospatial information studies to refer to the academic discipline or career of working with geographic information systems and is a large domain within the broader academic discipline of Geoinformatics. In the simplest terms, GIS is the merging of cartography, statistical analysis, and computer science technology.
This is most benificial for the First year Engineering students.This presentation consists of videos and many applications of GIS. The processes and the other parts of GIS is also nicely explained.
SDI in Croatia; shifting from NSDI 1.0 to NSDI 2.0Tomislav Ciceli
Croatia has strong legacy in Spatial Data Infrastructure (SDI) domain. First activities started already at the begging of 21st century with few studies about possibilities for data exchange between different institutions on governmental level. All activities which followed those studies were formalised in Act on State Survey and Real Cadastre in 2007 (Official Gazetteer 13/2007). In period after Law come in force all activities were focused on formal framework of establishment of National Spatial Data Infrastructure (NSDI) which resulted with three level hierarchy of NSDI Bodies; Council, Board and Working groups. That period can be treated like phase 1.0 of SDI establishment in Republic of Croatia. From 2013 Croatia become member of European Union and with other obligations we needed to transpose Directive 2007/2/EZ to our legislation which was made in May of 2013 with Act on National Spatial Data Infrastructure (Official Gazetteer 56/2013). With that Act Croatia become legally compatible with EU legislation in domain of SDI and implementation on operational level started. Formal structure was kept, with introducing State Geodetic Administration like National Contact Point for NSDI and INSPIRE. Many new activities come with putting Act on NSDI in force; creating of NSDI Registries, creating of National metadata catalogue and publishing of National geoportal. During 2014 activities on Monitoring of SDI/INSPIRE in Croatia also were accomplished. All those activities were very operational, with focus on real implementation and according to that that phase can be treated like phase 2.0. in SDI development in Republic of Croatia. In scope of this work brief overview of main activities for phase 1.0 and phase 2.0 will be made.
What's the status of the NSDI?
Cowen's address will provide his perspective on the current status of the National Spatial Data Infrastructure (NSDI). He will draw from his extensive experience with the National Research Council’s Mapping Science Committee, chairing the NRC study National Land Parcel Data: A Vision for the Future, a recent term as chair of the National Geospatial Advisory Committee, and his service as vice chairman of the Coalition of Geospatial Organizations (COGO) Report Card Committee on the NSDI. Through these activities he has observed and analyzed the Federal geospatial landscape for the thirty years since president Clinton issued Executive Order 12906, Coordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure in 1994. He will comment on the changing role of various stakeholders in the collection, maintenance and sharing of geospatial data.
David Coleman presentation at SDI Summit 2014, Calgary, Canada, 17-19 Sept 2014GSDI Association
Keynote presentation at Pan-Canadian SDI Summit 2014 by GSDI Association President David Coleman entitled "International SDI Initiatives: Thinking Globally, Acting Locally”. After providing context on the role Canadians played in early land information networking and SDI developments through the 1980s and early 1990s, he described the importance of such transnational and international SDI initiatives as Digital Earth, GEO, OGC & ISO, UN GGIM and — with special emphasis on the GSDI Cookbook and Small Grants Program — the GSDI Association itself.
Next Generation Open Data Platforms | AWS Public Sector Summit 2016Amazon Web Services
AWS provides a comprehensive toolkit for building applications that enable sharing and analyzing data at any scale. Come learn about how the City of Chicago and Department of Interior are using the cloud to create sophisticated open data applications. Tom Schenk, Chief Data Officer of the City of Chicago will talk about the OpenGrid project, an award-winning open-source geographical information system that supports real-time monitoring of city-focused and citizen services data retrieval using open data. Jerry Johnston, Director of the Information and Technology Management Division, Office of the Chief Information Officer at the U.S. Department of the Interior (DOI), will discuss the evolution of the National Spatial Data Infrastructure (NSDI) which aims to create a national network of distributed geospatial data that can be used to support a wide range of public and private sector applications.
In recent years governments and research institutions have emphasized the need for open data as a fundamental component of open science. But we need much more than the data themselves for them to be reusable and useful. We need descriptive and machine-readable metadata, of course, but we also need the software and the algorithms necessary to fully understand the data. We need the standards and protocols that allow us to easily read and analyze the data with the tools of our choice. We need to be able to trust the source and derivation of the data. In short, we need an interoperable data infrastructure, but it must be a flexible infrastructure able to work across myriad cultures, scales, and technologies. This talk will present a concept of infrastructure as a body of human, organisational, and machine relationships built around data. It will illustrate how a new organization, the Research Data Alliance, is working to build those relationships to enable functional data sharing and reuse.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Normal Labour/ Stages of Labour/ Mechanism of Labour
NSDI_ Concepts and Components
1. National Spatial Data Infrastructure.
Concepts and Components
Jayantha Samarasinghe
Survey Department of Sri Lanka
2. Outline…..
• What is NSDI ?
• Partnership Via NSDIs ( Problem identification)
• Who needs to access Geographic Information?
• Strategies to Create NSDI
• NSDI Components
• Global SDI
• NSDI & GIS in Emergency Management
• Summary
3. What is a
National Spatial Data Infrastructure?
“The technology, policies, standards, and human
resources necessary to acquire, process, store,
distribute, and improve utilization of geospatial
data.”
Source:
Presidential Executive Order #12906 (1994):
“Co-ordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure” W. Clinton.
4. Partnerships via NSDI
The problem:
• Too much data duplication = waste
• Not enough data duplication = respond to emergencies
• Ad hoc data sharing.
• Data often tailored to one application.
• Detail at local level but not accessible to Regional or National Level.
• Indexes/ Metadata.
• No general protocols for any of this until NSDI…
5. Who needs access to Coordinated Geographic Information?
• Land Records Adjudication
• Disaster Response
• Transportation Management
• Water, gas & electric planning
• Public Protection
• Defense
• Natural Resource Management
• Telecommunications Infrastructure
• Economic Development
• Civic Entrepreneurs
• Forest Management etc..
6. So Why build NSDI?
• Build data once and use it many times
for many applications.
• Integrate distributed providers of data.
• “Place-based management”.
• Share costs of data creation and
maintenance.
• Support sustainable economic,
social, and environmental
development.
7. Strategies to Create NSDI
STRATEGY I: Conceptual steps
• Explain GIS benefits to the Nation and other
communities.
• Include GIS in the curriculum of Universities and other
academia.
• Organize seminars and symposiums where new
developments in GIS are addressed.
• Exchange GIS technology and ideas through instructional
Web sites and online forums.
8. • Form leading committee at the federal level to start this
initiative.
• Involve Central and local governments in the development
and implementation of this initiative.
• Utilize the expertise of academia, the private sector,
professional societies, and others.
• Physically develop, implement NSDI and its components.
Strategies to Create NSDI
STRATEGY II: Logical and physical steps
10. These elements are linked in a veryThese elements are linked in a very
explicit way to assure the function of theexplicit way to assure the function of the
enterprise.enterprise.
NSDI COMPONENTS…….
11. The data provide a core...
Spatial DataSpatial DataSpatial DataSpatial Data
12. Categories of Geospatial Data
• Community-developed data sets usually derived for a
single purpose but made available for potential re-use
• Data sets developed to a common content specification
for high re-use potential. These are known as
“Framework” data.
14. A foundation to which spatial information and
attributes can be added.
A base on which other themes of data can be
compiled.
FrameworkProvides…..
15. Federal
State
Local
Private
Utilities1.Hydrology:
Lakes, River, Streams, Channels
2.Cadastral:
Parcel, Land use, Zoning
3.Transportation:
Roads, rails,
4.Elevation:
Contour lines, spot elevation
5.Administrative Boundaries:
Town ,County, State lines
6.Geodetic Control Points:
Reference points
7.Orthoimagery:
Referenced orhtophotos and
aerials
FrameworkData
17. • Provides documentation of existing internal
geospatial data resources within an
organization. (inventory)
• Permits structured search and comparison of
held spatial data by others. (advertising).
• Provides end-users with adequate information to
take the data and use it in an appropriate
context. (liability)
The Use of Metadata
19. • Discovery of spatial data.
• Distributed search worldwide.
• Uniform interface for spatial data searches.
• Advertising for available Data.ur data holdings
Clearinghouse (Search service)
Provides..
20. Clearinghouse operates as...
• Entry point to constellation of servers.
• Collection of distributed servers, using a common
protocol
• (e.g., Z39.50)
21. • used for searching and retrieving full-text documents,
bibliographic data, images and multimedia in a
distributed network environment.
• The FGDC has developed a Z39.50 application profile
for geospatial metadata, called GEO.
• Z39.50/GEO identifies a set of base standards, and
parameters necessary to accomplish identified
functions.
WHAT IS Z39.50 SEARCHPROTOCOL
23. Who builds standards?
• ISO – International Standards Organization
• FGDC Standards working group
(Federal Geographic Data Committee )
• Open Geospatial Consortium (OGC)
• Concerned organizations
• Producers and users of geospatial data
24. Types of standards
• Data content
Common classifications
Common collection criteria
Data models, data structures (fo rm ats),
query languages.
• Data management
Metadata
Spatial Data Transfer Standard (SDTS)
• Data transferprotocols (e.g., WMS)
27. Lots of people involved…
• Federal government (many agencies)
• Central government
• Local government
• Private sector – contractors, value-adders, exploiters
• Non profit organizations
• Citizenry
• Others…
• No one is in charge…
28. and is a model for development of a
Common Spatial Data Infrastructure
The NSDI is built through the actions ofThe NSDI is built through the actions of
thousandsthousands
of participantsof participants
29. A Global Spatial Data Infrastructure?
• Difficult enough to get national players to work
together…
• Is GSDI a process, a general framework or a
product?
• Who are the stakeholders?
• Who needs it? (military doing what they need
themselves?)
32. NSDI & GIS Approach in Emergency
Management
• Because of its visual and spatial functionality, GIS technology
provides better and faster statistical analyses for decision
makers (emergency managers)
• HOWbig is the hazard area and people live in.
• WHAT are the best roads the hospitals outside of the hazard
zone?
• WHERE are the areas and the buildings with the most damage?
• WHICHroads are damaged or blocked by debris?
33. Web Browser (Thin Client)
@ users
GIS Software (Thick Client)
@ portal
host site
Web Portal
WMS WCSWFS
Geospatial Web Services
Gazetteer
Place
Names &
Attributes
Catalog
Data & Service
Metadata
Clients
Maps Features CoveragesLegend:
@ provider
organizations
Framework Data
WEB PORTAL ARCHITECTURE
34. SUMMARYSUMMARY
With NSDI,
• Implement Social, economic and critical decisions and Country will
understand the necessary steps to create, access and share spatial data.
• User community aware of the importance of spatial data.
• Eliminate the duplication of spatial data.
• Reduced the cost and time.
• Data accessible from a central portal and will make information readily
accessible.
• Countries can become an integral partner in the world‘s GIS community.
35. My most sincere gratitude goes to:
ITC
The Netherlands
Nuffic
The Netherlands
University of K.N.Toosi
Tehran, Iran
Survey Department
Sri Lanka
Govt. of The Netherlands Govt. Of IranGovt. of Sri Lanka
Thank you for your attention!
Editor's Notes
ICAN currently involves over 30 institutions from 14 countries plus the UNESCO IODE (Intl Ocean Data/Information Exchange).