A Seminar Report On Geographic Information Systems In partial fulfillment of requirements for the degree of Bachelor of Engineering In Information Technology SUBMITTED BY: Dixeet parekh (08-IT-20) Under the Guidance of Ms. Meenakshi SUBMITTED TO: DEPARTMENT OF INFORMATION TECHNOLOGY, KALOL INSTITUTE OF TECHNOLOGY & RESEARCH CENTER.
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A
Seminar Report
On
Geographic Information Systems
In partial fulfillment of requirements for the degree of
Bachelor of Engineering
In
Information Technology
SUBMITTED BY:
Dixeet parekh (08-IT-20)
Under the Guidance of
Ms. Meenakshi
SUBMITTED TO:
DEPARTMENT OF INFORMATION TECHNOLOGY,
KALOL INSTITUTE OF TECHNOLOGY & RESEARCH CENTER.
CERTIFICATE
This is to certify that the Seminar Report entitled ―Geographic Information
Systems‖ i s t he b o na f i e d wo rk o f
Mr . Dixeet Parekh (08-IT-20)
Studying in Kalol Institute of Technology & Research Center, Kalol. He is assigned the
above Seminar Work by this institute during the period of July 2010 to Nov 2010, as a
part of his bachelor of engineering (IT-Semester V); curriculum set by Gujarat
Technological University & has successfully completed the Seminar work.
It indeed gives me a pleasure to highlight that he worked very hard & with deep sincerity
throughout the semester. I am sure that the experience gained during the seminar work
will enable him to take similar challenging works in future.
Date of Submission Internal Guide Head,I.T Department (Ms. Meenakshi) (Mr. Hitesh C. Patel)
ACKNOWLEDGEMENT
I, Parekh Dixeet, of 5th
semester I.T., extend my heartily gratitude towards the college
management of KITRC, Kalol, for their great help in completing my seminar report. I also thank
our honorable principal, Dr. Akshey Bhargava, for being our light throughout this road.
I also want to thank our head of department, Mr. Hitesh C. Patel, along with our course guide,
Ms. Meenakshi, for their guidance throughout the preparation of seminar report.
Last but not the least; I would heartily like to thank my family and friend for being my support
throughout the time of tension, while doing this work and making it all a huge success.
Regards,
Parekh Dixeet
ABSTRACT
―Geographic Information Systems‖ (GIS) module introduces you to how GIS can be used to
help make better coastal management decisions. The module outlines the theory behind how GIS work,
and the practical benefits and problems of their use. In particular, the module seeks to provide practical
support for those considering using GIS. Topics covered in the module include decision-making, data
sourcing, data quality management, and GIS project management.
Throughout the module, there are real examples, taken from across Europe, to illustrate the
benefits and potential problems associated with the use of GIS. Web links are also embedded into the
module to other specialist GIS sites, including data providers, GIS suppliers and other members of the
GIS user community so that you can seek further information.
By the end of the module, you will be able to determine how GIS could be of use to you, what
problems you are likely to encounter using GIS, and how to proceed with the development of a GIS.
Parekh Dixeet
V IT
ID: 08-IT-20
INDEX
Sr. No. TITLE Page
No.
1 Introduction 1
2 History of Geographic Information Systems 2
3 Who uses GIS? 4
4 What can you do with a GIS? 5
5 GIS components 6
6 Working of Geographic Information Systems 7
7 Making Maps and Posters 13
8 Making Pin Maps 14
9 Using Regions 15
10 GIS Task 17
11 Advanced Software for Geospatial Analysis 20
12 Application 21
13 Advantages of GIS 22
14 Disadvantages of GIS 24
15 The Future of GIS 25
16 Conclusion 26
17 Bibliography 27
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1. INTRODUCTION
Geographic Information Systems (GIS) is an evolving, catchall phrase that initially
referred to management of information with a geographic component primarily stored in vector
form with associated attributes. This definition quickly became too restrictive with advances in
software and ideas about information management. An advanced GIS system should be able to
handle any spatial data, not just data tied to the ground by geographic reference points. The
capacity to handle non-geographic spatial data was formerly the domain of systems referred to as
AM/FM (Automated Mapping and Facilities Management). Other non-geographic applications,
such as interactive medical encyclopedias that retrieve information based on the human form,
should also be manageable by a robust system.
Integration of imagery with vector data is now a necessity for a full-featured GIS system.
Imagery was once thought to be the exclusive domain of image processing systems, but is now
often required as a backdrop for vector, or other data, types.
No up-to-date GIS system is complete without surface modeling and 3D (technically 2
1/2 D) visualization with ―fly-by‖ capability. In addition to drawing a path for the simulation,
you should be able to orbit with the view directed at a specified point or have the view pan
around a stationary viewer. Vector overlay on this 3D surface should also be an integral part of
the package.
A GIS system should be production oriented, which may or may not mean product
oriented. Production work in GIS involves making maps (a product), but it also involves
interactive analysis (a result which may have no tangible product). This booklet starts by
looking at these two aspects of GIS systems and then describes the facets of GIS systems needed
to reach the integrated goals.
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2. History of Geographic Information Systems
In 1854, John Snow depicted a cholera outbreak in London using points to represent the
locations of some individual cases, possibly the earliest use of the geographic method. His study
of the distribution of cholera led to the source of the disease, a contaminated water pump (the
Broad Street Pump, whose handle he had disconnected, thus terminating the outbreak) within the
heart of the cholera outbreak.
E. W. Gilbert's version (1958) of John Snow's 1855 map of the Soho cholera outbreak
showing the clusters of cholera cases in the London epidemic of 1854
While the basic elements of topography and theme existed previously in cartography, the
John Snow map was unique, using cartographic methods not only to depict but also to analyze
clusters of geographically dependent phenomena for the first time.
The early 20th century saw the development of photolithography, by which maps were
separated into layers. Computer hardware development spurred by nuclear weapon research led
to general-purpose computer "mapping" applications by the early 1960s.
The year 1962 saw the development of the world's first true operational GIS in Ottawa,
Ontario, Canada by the federal Department of Forestry and Rural Development. Developed by
Dr. Roger Tomlinson, it was called the "Canada Geographic Information System" (CGIS) and
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was used to store, analyze, and manipulate data collected for the Canada Land Inventory (CLI) –
an effort to determine the land capability for rural Canada by mapping information about soils,
agriculture, recreation, wildlife, waterfowl, forestry, and land use at a scale of 1:50,000. A rating
classification factor was also added to permit analysis.
CGIS was the world's first such system and an improvement over "mapping" applications
as it provided capabilities for overlay, measurement, and digitizing/scanning. It supported a
national coordinate system that spanned the continent, coded lines as "arcs" having a true
embedded topology, and it stored the attribute and locational information in separate files. As a
result of this, Tomlinson has become known as the "father of GIS," particularly for his use of
overlays in promoting the spatial analysis of convergent geographic data. CGIS lasted into the
1990s and built a large digital land resource database in Canada. It was developed as a
mainframe based system in support of federal and provincial resource planning and management.
Its strength was continent-wide analysis of complex datasets. The CGIS was never available in a
commercial form.
In 1964, Howard T Fisher formed the Laboratory for Computer Graphics and Spatial
Analysis at the Harvard Graduate School of Design (LCGSA 1965-1991), where a number of
important theoretical concepts in spatial data handling were developed, and which by the 1970s
had distributed seminal software code and systems, such as 'SYMAP', 'GRID', and 'ODYSSEY' -
- which served as literal and inspirational sources for subsequent commercial development—to
universities, research centers, and corporations worldwide.
By the early 1980s, M&S Computing (later Intergraph), Environmental Systems
Research Institute (ESRI), CARIS (Computer Aided Resource Information System) and ERDAS
emerged as commercial vendors of GIS software, successfully incorporating many of the CGIS
features, combining the first generation approach to separation of spatial and attribute
information with a second generation approach to organizing attribute data into database
structures. In parallel, the development of two public domain systems began in the late 1970s
and early 1980s. MOSS, the Map Overlay and Statistical System project started in 1977 in Fort
Collins, Colorado under the auspices of the Western Energy and Land Use Team (WELUT) and
the U.S. Fish and Wildlife Service. GRASS GIS was begun in 1982 by the U.S. Army Corps of
Engineering Research Laboratory (USA-CERL) in Champaign, Illinois, a branch of the U.S.
Army Corps of Engineers to meet the need of the U.S. military for software for land management
and environmental planning. The later 1980s and 1990s industry growth were spurred on by the
growing use of GIS on Unix workstations and the personal computer. By the end of the 20th
century, the rapid growth in various systems had been consolidated and standardized on
relatively few platforms, and users were beginning to export the concept of viewing GIS data
over the Internet, requiring data format and transfer standards. More recently, a growing number
of free, open source GIS packages run on a range of operating systems and can be customized to
perform specific tasks.
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3.Who uses GIS?
International organizations
• UN HABITAT, The World Bank, UNEP, FAO, WHO, etc.
Private industry
• Transport, Real Estate, Insurance, etc.
Government s
• Ministries of Environment, Housing, Agriculture, etc.
• Local Authorities, Cities, Municipalities, etc.
• Provincial Agencies for Planning, Parks, Transportation, etc.
Non-profit organizations/NGO’s
• World Resources Institute, ICMA, etc.
Academic and Research Institutions
• Smithsonian Institution, CIESIN, etc.
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3. What can you do with a GIS?
• The possibilities are unlimited…
Environmental impact assessment
Resource management
Land use planning
Tax Mapping
Water and Sanitation Mapping
Transportation routing
and more ...
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4. GIS components
The key to establishing this type of technology within an information framework for the
purposes of decision making is INTEGRATION: the linking together of technology, data and a
decision making strategy.
What GIS is all about today is the bringing together of spatial analysis techniques and
digital spatial data combined with computer technology.
But for many, GIS is much more than a computer database and a set of tools: it is also a
philosophy for information management. Often GIS can form the core of the information
management within an organisation.
There are of course other definitions too. GIS is sometimes referred to as the tool whilst
the user may be the Spatial Information Scientist! In recent times the whole subject area has also
been referred to as Geographic Information Management (GIM) or even Geomatics
Each of these components will now be examined in further details.
1. Data
2. Software & hardware tools
3. GIS data manipulation & analysis
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5. Working of Geographic Information Systems
A GIS stores information about the world as a collection of thematic layers that can be
linked together by geography. This simple but extremely powerful and versatile concept has
proven invaluable for solving many real-world problems from tracking delivery vehicles,
recording details of planning applications, to modelling global atmospheric circulation. The
working of a GIS can be summarised as:
Relating information from different sources
Geographic references / locations
Data capture
Data integration
Projection and registration
Data structures
Data modelling
Relating information from different sources
The ability of GIS to relate information from disparate sources helps in planning and
management of natural resources. A GIS can be used for converting existing digital information,
which may not be in map format, into forms, which it can recognise and use. For example,
digital satellite images can be analysed to produce a thematic layer of digital information about
vegetation. Additionally, existing tabular data such as census can be converted to map-like
format. For the data to be usable, it needs to be geo referenced to the map in some way.
Geographic References
Geographic information contains either an explicit geographic reference, such as a latitude and
longitude or national grid co-ordinate, or an implicit reference such as an address, postal code,
census tract name, forest stand identifier, or road name. An automated process called geocoding
is used to create explicit geographic references (multiple locations) from implicit references
(descriptions such as addresses). These geographic references allow you to locate features, such
as a business or forest stand, and events, such as an earthquake, on the earth's surface for
analysis.
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Data capture
The process of getting data into a digital format recognised by the GIS is known as data capture.
Data on existing paper maps can be digitised or hand traced using a mouse in order to collect the
co-ordinates of the features. Electronic scanning devices are the other options for the data
capture. This step is the most time consuming part in creating a GIS.
Data Integration
A GIS stores information as a collection of thematic layers, which are linked together by
geography. Underlying these layers are associated tables of spatial and descriptive attributes that
describe the geographic features.
Projection and Registration
All the information that is obtained from various disparate sources has to be converted to
consistent spatial references before using in GIS. This process aligns all the data layers by
establishing a consistent co-ordinate system for all the data layers. Before data is analysed, in
most of the GIS projects, projection of the map is done. Projection, one of the fundamentals of
mapmaking, is the mathematical method of transferring information from the earth's three-
dimensional surface to two-dimensional medium. Map projections, however, will result in the
distortion of one or more of these properties: shape, area, distance and direction. Some of the
projections that are used are Universal Transverse Mercator (UTM), Lambert Conformal Conic,
etc.
Data structures
Geographic information systems work with two fundamentally different types of geographic
models, the "vector" model and the "raster" model.
This system is capable of integrating, storing, editing, analyzing, and displaying
geographically-referenced information. In a more generic sense, GIS is a "smart map" tool that
allows users to create interactive queries (user created searches), analyze the spatial information,
and edit data. For those who might be unfamiliar with GIS, the following graphic demonstrates
how different elements within a GIS can be separated or ‗layered‘ in order to combine features,
and enable analysis of data.
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Raster organises spatial features in a regularly spaced grid of cells or pixels, while the
vector data structure organises spatial features by a set of vectors, which are specified by starting
point co-ordinates (i.e. the information about points, lines, and polygons is encoded and stored
as a collection of x, y co-ordinates). The location of a point feature, such as a location of
borehole, can be described by a single x, y co-ordinates. Point features are represented as vectors
without length or direction. Linear features, such as roads and rivers, can be stored as a
collection of point co-ordinates.
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Polygonal features, such as land parcels and river catchments, can be stored as a closed
loop of co-ordinates. Compared to a line designated in a raster format, a vector line is one-
dimensional and has no width associated with it. The vector model is extremely useful for
describing discrete features, but less useful for describing continuously varying features such as
soil type.
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Vector data model
ADVANTAGE of the vector data format: allows precise representation of points, boundaries,
and linear features.
– useful for analysis tasks that require accurate positioning,
– for defining spatial relationship (ie the connectivity and adjacency) between
coverage features (topology), important for such purposes as network analysis
(for example to find an optimal path between two nodes in a complex transport
network)
Main DISADVANTAGE of vector data is that the boundaries of the resulting map polygons are
discrete (enclosed by well-defined boundary lines), whereas in reality the map polygons may
represent continuous gradation or gradual change, as in soil maps.
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Raster data model
Good for representing indistinct boundaries
– thematic information on soil types, soil moisture, vegetation, ground
temperatures
As reconnaissance satellites and aerial surveys use raster-based scanners, the information (ie
scanned images) can be directly incorporated into GIS .
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6. Making Maps and Posters
GIS map making should transcend
traditional car-tography—roads, streams,
and political boundaries along with map
grids, scale bars, and legends may be
sufficient for some maps but are not an
adequate reflection of a fully featured GIS
system. You should be able to incorporate
a satellite or airphoto image as the
background for line and polygon data with
transparent polygon filling to reveal the
background through vector or CAD
overlays. You should be able to
incorporate enlarged insets and elements
that tie the components at both map scales
together.
To make map making easy, a GIS
system should include a variety of
standard map components that can be
readily added to a layout. These include
map grids, scale bars, legends, annotation
text, and a means of mixing georeferenced
and ungeoreferenced groups (north arrows,
company logos) to complete the map.
Each of these map com-ponents should be
easily customizable; for example, with
map grids you should be able to control
the size and color of the text and lines, the
grid spacing, the components of the grid,
and so on.
A map Is built from many pieces.
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7. Making Pin Maps
A pin map directly visualizes database
information if each record has coordinates for the
location of the observation or report. You could plot
telemetry data for a variety of animals, the location
of cities, or the position of trucks on the road. Direct
display from database offers some advantages over
vector format for point data. New points are added
simply by adding records to the database and the
location of points can be updated by changing
coordinates.
In TNTmips databases used for pin map
display can be in internal format, linked to a
supported format (such as dBASE IV, INFO, or FoxPro), or com-medicated with using ODBC
(Open Database Connectivity to Oracle, for example). With direct linking or ODBC, the
database can be maintained by external software and viewed with all updates available the next
time you redraw the pin map.
We can display all locations in the same style or use other attributes to determine how a
―pin‖ is dis-played. For example, you can use production to determine the size of
symbols for oil wells or, in the case of telemetry data; you can represent observations for
different animals with different symbols. We can even incorporate multiple attributes into
a pie chart or bar graph.
Pin mapping should provide a means to distinguish
multiple pins with the same coordinates, such as the
pins shown below for the same sites in three
different years. Symbol scale can also vary with
field values.
We should also be able to include values for
multiple fields from the same record. The TNT
products let we choose between bar graphs or pie
charts with the option of including multiple line
labels
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8. Using Regions
Regions are areas of interest used primarily for selection— selection for viewing at-
tributes, for extracting, or for other processing. In some cases, such as flood zone or watershed
regions, the region itself is the desired product.
Regions can be interactively and iteratively created. You choose the cells or elements of
interest, then the desired region creation process, adjust region parameters, generate a region,
alter parameters as necessary and generate another region until you are satisfied with the results
and choose to keep that region. Regions can be temporary, available only for the cur-rent display
session, or you can choose to save a region to be used at a later time or in other processes.
Region generation methods available in TNTmips and not mentioned elsewhere on this