The document provides an overview of geographic information systems (GIS) including:
- What a GIS is and what it is not
- Why GIS technology is important for tasks like map-making, layering information, and decision-making
- Key advances in GIS technology from the 1960s to present day in terms of hardware, software, users, and application areas
- Who creates major GIS software and applications, including companies like ESRI, Intergraph, and Autodesk
This document summarizes the career and work of Dr. Bob Williams from 1980 to the present. It outlines his educational background and qualifications in fields like cartography, surveying, and geospatial science. It then describes several projects he worked on in the 1980s that demonstrated innovative and visionary ideas for automated cartography and geographic information systems. These included early digital mapping software called MAPPACK, YAMPI, MISTI, and WIMS that allowed for automated map generation and querying of geographic databases. The document discusses how these projects foreshadowed future applications in areas like navigation, infrastructure management, and command/control systems.
The document discusses map projections and their properties. It begins with basics of map projections, which involve transforming locations on the round Earth onto a flat surface. It then covers four key properties of projections: shape, area, distance, and direction. No projection can perfectly maintain all properties. The document also categorizes projections based on the type of developable surface used, such as cylindrical, conical, or planar. It provides examples to illustrate different properties and classifications.
This document discusses a journal paper and theme issue on the cultural significance and spatial politics of high-resolution satellite imagery. The theme issue examines how increased access to satellite imagery is reshaping understandings of space and place. It explores how satellite imagery is being used in new ways by various groups, from media to artists to activists to everyday users. While satellite imagery was traditionally used mainly for military, government and environmental purposes, it is now more widely and freely available online through portals like Google Earth, leading to new viewing practices and cultural meanings associated with this type of visual representation of space.
This document discusses a journal paper and theme issue on the cultural significance of high-resolution satellite imagery.
The author writes to share a journal paper he authored that considers Cryptome Eyeball Series as a case study. The paper is part of a theme issue examining how readily available satellite imagery is changing how groups understand space and place. Once restricted to military and elite uses, satellite imagery is now widely and freely accessible online through services like Google Earth.
The theme issue examines new cultural meanings and spatial politics emerging from this shift. It explores how different social groups now use satellite imagery in new ways, from activists to artists to everyday leisure users. The editor introduces five papers that will critically examine the view satellite imagery provides of the
Why GIS use is prevalent in natural resource management Evolution of the development of GIS technology and key figures Common spatial data collection techniques and input devices that are available Common GIS output processes that are typical in natural resource management The broad types of GIS software that are available.
The document discusses ubiquitous information architecture and defines it as shaping information products and experiences to support findability across physical, digital and cognitive spaces. It provides an agenda for a workshop on the topic, including defining information architecture, principles of cartography, classic and pervasive approaches to information architecture, and mapping and sketching exercises. It also shares definitions and perspectives on information architecture from various experts.
Spatial is (not) special - Adventures in location-based dataThierry Gregorius
Delivered to the BCS Data Management forum, an overview of GIS/Geospatial trends, the need for spatial integrity, why spatial intelligence doesn't need a map, and creative curveballs like the enduring benefits of analog tools and handmade craftsmanship.
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
This document summarizes the career and work of Dr. Bob Williams from 1980 to the present. It outlines his educational background and qualifications in fields like cartography, surveying, and geospatial science. It then describes several projects he worked on in the 1980s that demonstrated innovative and visionary ideas for automated cartography and geographic information systems. These included early digital mapping software called MAPPACK, YAMPI, MISTI, and WIMS that allowed for automated map generation and querying of geographic databases. The document discusses how these projects foreshadowed future applications in areas like navigation, infrastructure management, and command/control systems.
The document discusses map projections and their properties. It begins with basics of map projections, which involve transforming locations on the round Earth onto a flat surface. It then covers four key properties of projections: shape, area, distance, and direction. No projection can perfectly maintain all properties. The document also categorizes projections based on the type of developable surface used, such as cylindrical, conical, or planar. It provides examples to illustrate different properties and classifications.
This document discusses a journal paper and theme issue on the cultural significance and spatial politics of high-resolution satellite imagery. The theme issue examines how increased access to satellite imagery is reshaping understandings of space and place. It explores how satellite imagery is being used in new ways by various groups, from media to artists to activists to everyday users. While satellite imagery was traditionally used mainly for military, government and environmental purposes, it is now more widely and freely available online through portals like Google Earth, leading to new viewing practices and cultural meanings associated with this type of visual representation of space.
This document discusses a journal paper and theme issue on the cultural significance of high-resolution satellite imagery.
The author writes to share a journal paper he authored that considers Cryptome Eyeball Series as a case study. The paper is part of a theme issue examining how readily available satellite imagery is changing how groups understand space and place. Once restricted to military and elite uses, satellite imagery is now widely and freely accessible online through services like Google Earth.
The theme issue examines new cultural meanings and spatial politics emerging from this shift. It explores how different social groups now use satellite imagery in new ways, from activists to artists to everyday leisure users. The editor introduces five papers that will critically examine the view satellite imagery provides of the
Why GIS use is prevalent in natural resource management Evolution of the development of GIS technology and key figures Common spatial data collection techniques and input devices that are available Common GIS output processes that are typical in natural resource management The broad types of GIS software that are available.
The document discusses ubiquitous information architecture and defines it as shaping information products and experiences to support findability across physical, digital and cognitive spaces. It provides an agenda for a workshop on the topic, including defining information architecture, principles of cartography, classic and pervasive approaches to information architecture, and mapping and sketching exercises. It also shares definitions and perspectives on information architecture from various experts.
Spatial is (not) special - Adventures in location-based dataThierry Gregorius
Delivered to the BCS Data Management forum, an overview of GIS/Geospatial trends, the need for spatial integrity, why spatial intelligence doesn't need a map, and creative curveballs like the enduring benefits of analog tools and handmade craftsmanship.
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
The document discusses the potential for "the crowd and the cloud" to represent the next evolutionary step in geo-information processing. It first introduces three disruptive innovations - mobile social internet, cloud computing, and the internet of things. It then discusses the crowd, who they are, what they want, and what they do geospatially. The cloud is defined, including different deployment and service models. Past research is reviewed on topics like automatic image geo-tagging and using social media for crisis management. Future research themes are proposed around new sources and modes of geo-information production, new processing methods, improving interoperability, and applications.
Multimedia les - intro tot informatie visualisatieJoris Klerkx
Information visualization uses interactive visual representations to help make sense of large amounts of data. It can help discover patterns, communicate information more effectively, and facilitate exploration and understanding. The visualization process involves gathering and cleaning data, applying visual encodings like size, color and position, and designing for interactivity and usability testing. Key principles include using common sense, avoiding misleading visuals, and leveraging human perceptual strengths through techniques like Gestalt grouping laws.
This document discusses the field of Geographic Information Science (GIScience). It outlines the scientific and technological motivations for GIScience and defines it as the basic research field seeking to redefine geographic concepts in the context of GIS. The document discusses key individuals who advocated for the development of GIScience as a field and covers major components, laws, impacts, and conclusions regarding GIScience.
Addresses the burning questions in 3D modelling:
What is a good model?
What is its usability (beyond pretty pictures)?
How reproducible and extensible is it?
How can we separate data and interpretation?
How do we consider model uncertainty?
Features a Bayesian model space exploration of a synthetic case study
The document provides an overview of open source intelligence (OSINT) and discusses:
1) OSINT involves analyzing information from open sources like the internet, publications, and imagery rather than classified sources. It is a process of discovery, discrimination, and delivery of tailored answers.
2) While OSINT is not a substitute for classified intelligence, it can address 80% of issues with less cost and time than classified sources. When integrated with all-source analysis, OSINT helps address gaps left by classified collection.
3) OSINT rules acknowledge that most needed information is not online or in English, and many key maps are missing. However, commercial services and tools can help access content in other languages and provide
This document provides an overview of geospatial technology and geographic information systems (GIS). It discusses how GIS integrates data from GPS and remote sensing to store, analyze and manage spatial data referenced to locations on Earth. The key aspects covered include GIS data models using vector and raster formats, representing terrain as digital terrain models (DTMs), performing analysis like overlay operations and neighborhood functions, and calculating slopes and aspects from elevation data. GIS is presented as a versatile system for solving real-world problems by linking thematic data layers based on their geographic coordinates.
This interdisciplinary tutorial was presented at the 2017 IEEE International Conference on Data Engineering in San Diego.
Reference:
Andreas Züfle, Goce Trajcevski, Dieter Pfoser, Matthew T. Rice, Matthias Renz, Timothy Leslie, Paul Delamater and Tobias Emrich. Handling Uncertainty in Geo-Spatial Data. 33rd International Conference on Data Engineering (ICDE). 2017.
This document discusses network graphs and visualization techniques. It begins with definitions of key network graph terminology like nodes, edges, degree centrality. It then discusses techniques for improving network graph readability like curved edges, edge bundling, and edge compression. Bertin's visual variables and Gestalt principles for effective grouping and representation of network structures are also covered. The goal is to concisely summarize the essential information about network graphs and visualization techniques discussed in the document.
Machine learning for the environment: monitoring the pulse of our Planet with...Francois Stepman
Presentation by Davis Tuia, EPFL - Machine learning for the environment: monitoring the pulse of our Planet with remotely sensed data
25 May 2023. 9H30 - 16H25 Earth Observation & Artificial Intelligence solutions for climate change challenges
This new edition of the AI4Copernicus event focused on climate change and its impact on energy, food and water security. To withstand current and future pressures on our natural resources, integrated and sustainable management practices are required to balance the needs of people, nature and the economy.
https://paepard.blogspot.com/2023/05/earth-observation-artificial.html
The document summarizes the role of geospatial information in a hyper-connected society. It discusses how the digital earth and geo big data/internet of things are generating massive amounts of geospatial data. It also describes how web geo services, participatory mapping, and geo crowdsourcing are making this data accessible and enabling new forms of interaction between people, places, and things on the internet.
The document summarizes the role of geospatial information in a hyper-connected society. It discusses how the digital earth utilizes geospatial data and services to create three-dimensional, multi-resolution models of the planet. It also explores how geo big data from satellites, sensors, social media, and the internet of things is creating massive datasets. Web geospatial services allow users to access, analyze and visualize this geospatial data through applications and participatory platforms.
This document discusses the use of geographic information systems (GIS) in civil engineering. It provides an overview of GIS, including its history and components. It then discusses several applications of GIS in civil engineering, such as for transportation engineering, watershed analysis, remote sensing, waste management, regional planning, and landslide analysis. GIS allows civil engineers to integrate spatial and non-spatial data from various sources to facilitate complex analysis and decision-making regarding infrastructure development and management.
This document provides an overview of the history and future of data visualization. It discusses early maps and quantitative representations from 6000 BC through the 14th century. The 19th century is described as the "golden age of infographics". Recent developments mentioned include projects by John Tukey in the 1970s, the rise of interactive online tools and datasets in the 2000s, and specific visualization projects created by the speaker. The document outlines different narrative structures for visualization and discusses relevant concepts from information design and human-computer interaction.
This document appears to be a collection of articles from 2003 discussing various topics related to technology and business. It includes summaries of articles about internet security best practices, the potential dangers of nanotechnology, and how companies in Asia can benefit from e-business and digital dividends by optimizing supply chains and reaching new customers online. The region was expected to add over 150 million new internet users in the following four years, with online sales doubling in some sectors like travel and finance, showing promise for digital business opportunities.
This document introduces Hanmin Jung, head of the Department of Computer Intelligence Research at KISTI. It provides an overview of Jung's background, recent activities and roles in various organizations. It also lists the weekly trend reports he authors for NIPA and discusses some of his case studies regarding data curation, including for Apple Maps, strategic foresight planning and analyzing big data. The document emphasizes the importance of data curation in extracting insights and foresights from large amounts of data.
Cyril Connolly, Lecturer, IADT, Dun Laoghaire: Visualising Road Accident Data Dublinked .
This document discusses the history and importance of data visualization. It provides examples of how the software DataDesk can be used to interactively explore and analyze Irish road accident data. Key points include: (1) DataDesk allows slicing and dicing of data through linked views, revealing patterns like regional differences in accident distributions. (2) Rotating plots can show relationships that emerge from entire datasets, like distinguishing clusters in accident profiles. (3) Interactive visualization brings statistics to life and aids decision making.
The document discusses the potential for "the crowd and the cloud" to represent the next evolutionary step in geo-information processing. It first introduces three disruptive innovations - mobile social internet, cloud computing, and the internet of things. It then discusses the crowd, who they are, what they want, and what they do geospatially. The cloud is defined, including different deployment and service models. Past research is reviewed on topics like automatic image geo-tagging and using social media for crisis management. Future research themes are proposed around new sources and modes of geo-information production, new processing methods, improving interoperability, and applications.
Multimedia les - intro tot informatie visualisatieJoris Klerkx
Information visualization uses interactive visual representations to help make sense of large amounts of data. It can help discover patterns, communicate information more effectively, and facilitate exploration and understanding. The visualization process involves gathering and cleaning data, applying visual encodings like size, color and position, and designing for interactivity and usability testing. Key principles include using common sense, avoiding misleading visuals, and leveraging human perceptual strengths through techniques like Gestalt grouping laws.
This document discusses the field of Geographic Information Science (GIScience). It outlines the scientific and technological motivations for GIScience and defines it as the basic research field seeking to redefine geographic concepts in the context of GIS. The document discusses key individuals who advocated for the development of GIScience as a field and covers major components, laws, impacts, and conclusions regarding GIScience.
Addresses the burning questions in 3D modelling:
What is a good model?
What is its usability (beyond pretty pictures)?
How reproducible and extensible is it?
How can we separate data and interpretation?
How do we consider model uncertainty?
Features a Bayesian model space exploration of a synthetic case study
The document provides an overview of open source intelligence (OSINT) and discusses:
1) OSINT involves analyzing information from open sources like the internet, publications, and imagery rather than classified sources. It is a process of discovery, discrimination, and delivery of tailored answers.
2) While OSINT is not a substitute for classified intelligence, it can address 80% of issues with less cost and time than classified sources. When integrated with all-source analysis, OSINT helps address gaps left by classified collection.
3) OSINT rules acknowledge that most needed information is not online or in English, and many key maps are missing. However, commercial services and tools can help access content in other languages and provide
This document provides an overview of geospatial technology and geographic information systems (GIS). It discusses how GIS integrates data from GPS and remote sensing to store, analyze and manage spatial data referenced to locations on Earth. The key aspects covered include GIS data models using vector and raster formats, representing terrain as digital terrain models (DTMs), performing analysis like overlay operations and neighborhood functions, and calculating slopes and aspects from elevation data. GIS is presented as a versatile system for solving real-world problems by linking thematic data layers based on their geographic coordinates.
This interdisciplinary tutorial was presented at the 2017 IEEE International Conference on Data Engineering in San Diego.
Reference:
Andreas Züfle, Goce Trajcevski, Dieter Pfoser, Matthew T. Rice, Matthias Renz, Timothy Leslie, Paul Delamater and Tobias Emrich. Handling Uncertainty in Geo-Spatial Data. 33rd International Conference on Data Engineering (ICDE). 2017.
This document discusses network graphs and visualization techniques. It begins with definitions of key network graph terminology like nodes, edges, degree centrality. It then discusses techniques for improving network graph readability like curved edges, edge bundling, and edge compression. Bertin's visual variables and Gestalt principles for effective grouping and representation of network structures are also covered. The goal is to concisely summarize the essential information about network graphs and visualization techniques discussed in the document.
Machine learning for the environment: monitoring the pulse of our Planet with...Francois Stepman
Presentation by Davis Tuia, EPFL - Machine learning for the environment: monitoring the pulse of our Planet with remotely sensed data
25 May 2023. 9H30 - 16H25 Earth Observation & Artificial Intelligence solutions for climate change challenges
This new edition of the AI4Copernicus event focused on climate change and its impact on energy, food and water security. To withstand current and future pressures on our natural resources, integrated and sustainable management practices are required to balance the needs of people, nature and the economy.
https://paepard.blogspot.com/2023/05/earth-observation-artificial.html
The document summarizes the role of geospatial information in a hyper-connected society. It discusses how the digital earth and geo big data/internet of things are generating massive amounts of geospatial data. It also describes how web geo services, participatory mapping, and geo crowdsourcing are making this data accessible and enabling new forms of interaction between people, places, and things on the internet.
The document summarizes the role of geospatial information in a hyper-connected society. It discusses how the digital earth utilizes geospatial data and services to create three-dimensional, multi-resolution models of the planet. It also explores how geo big data from satellites, sensors, social media, and the internet of things is creating massive datasets. Web geospatial services allow users to access, analyze and visualize this geospatial data through applications and participatory platforms.
This document discusses the use of geographic information systems (GIS) in civil engineering. It provides an overview of GIS, including its history and components. It then discusses several applications of GIS in civil engineering, such as for transportation engineering, watershed analysis, remote sensing, waste management, regional planning, and landslide analysis. GIS allows civil engineers to integrate spatial and non-spatial data from various sources to facilitate complex analysis and decision-making regarding infrastructure development and management.
This document provides an overview of the history and future of data visualization. It discusses early maps and quantitative representations from 6000 BC through the 14th century. The 19th century is described as the "golden age of infographics". Recent developments mentioned include projects by John Tukey in the 1970s, the rise of interactive online tools and datasets in the 2000s, and specific visualization projects created by the speaker. The document outlines different narrative structures for visualization and discusses relevant concepts from information design and human-computer interaction.
This document appears to be a collection of articles from 2003 discussing various topics related to technology and business. It includes summaries of articles about internet security best practices, the potential dangers of nanotechnology, and how companies in Asia can benefit from e-business and digital dividends by optimizing supply chains and reaching new customers online. The region was expected to add over 150 million new internet users in the following four years, with online sales doubling in some sectors like travel and finance, showing promise for digital business opportunities.
This document introduces Hanmin Jung, head of the Department of Computer Intelligence Research at KISTI. It provides an overview of Jung's background, recent activities and roles in various organizations. It also lists the weekly trend reports he authors for NIPA and discusses some of his case studies regarding data curation, including for Apple Maps, strategic foresight planning and analyzing big data. The document emphasizes the importance of data curation in extracting insights and foresights from large amounts of data.
Cyril Connolly, Lecturer, IADT, Dun Laoghaire: Visualising Road Accident Data Dublinked .
This document discusses the history and importance of data visualization. It provides examples of how the software DataDesk can be used to interactively explore and analyze Irish road accident data. Key points include: (1) DataDesk allows slicing and dicing of data through linked views, revealing patterns like regional differences in accident distributions. (2) Rotating plots can show relationships that emerge from entire datasets, like distinguishing clusters in accident profiles. (3) Interactive visualization brings statistics to life and aids decision making.
Cyril Connolly, Lecturer, IADT, Dun Laoghaire: Visualising Road Accident Data
GIS_Intro
1. 30 October 200430 October 2004 Theodore A. Samuels, B.Tech.Theodore A. Samuels, B.Tech. 11
Introduction toIntroduction to
Geographic InformationGeographic Information
Systems (GIS)Systems (GIS)
Theodore A. Samuels,Theodore A. Samuels,
B.Tech.B.Tech.
GIS Applications SpecialistGIS Applications Specialist
2. 30 October 2004 Theodore A. Samuels, B.Tech. 2
““MacGyverism”MacGyverism”
I’m not trying to beI’m not trying to be
mysterious about it;mysterious about it;
It’s just that what I do isIt’s just that what I do is
tough to explain.tough to explain.
TV’sTV’s MacGyverMacGyver,,
Troubleshooter/Adventurer,Troubleshooter/Adventurer,
1985.1985.
3. 30 October 2004 Theodore A. Samuels, B.Tech. 3
OverviewOverview
► WhatWhat is a GIS?is a GIS?
► WhyWhy is GIS technology important?is GIS technology important?
► WhenWhen have there been advanceshave there been advances inin
GIS technology?GIS technology?
► WhoWho creates GIS software & applications?creates GIS software & applications?
► WhereWhere are GIS applications used?are GIS applications used?
► HowHow can one learn more about GIS?can one learn more about GIS?
► SummarySummary
► ResourcesResources
4. 30 October 2004 Theodore A. Samuels, B.Tech. 4
My First “GIS” EncounterMy First “GIS” Encounter
(c. 1974)(c. 1974)
Ontario Science Centre, Toronto, CanadaOntario Science Centre, Toronto, Canada
““35 years of Innovation” (1969-2004)35 years of Innovation” (1969-2004)
5. 30 October 2004 Theodore A. Samuels, B.Tech. 5
WhatWhat is a GIS?is a GIS?
► AA computer database system,computer database system, capable of collecting,capable of collecting,
storing, retrieving, analyzing & presenting datastoring, retrieving, analyzing & presenting data
which are referenced by locationwhich are referenced by location
► Links information aboutLinks information about where things arewhere things are withwith
information aboutinformation about what things are like.what things are like.
► Consists of:Consists of:
Spatial (geographic) dataSpatial (geographic) data
Computer hardware & softwareComputer hardware & software
Operating proceduresOperating procedures
PersonnelPersonnel
6. 30 October 2004 Theodore A. Samuels, B.Tech. 6
What isWhat is NotNot a GIS?a GIS?
► A Static MapA Static Map
(Paper/Digital)(Paper/Digital)
Is often aIs often a productproduct
(output) of a GIS(output) of a GIS
May be aMay be a datadata sourcesource
(input) of a GIS when(input) of a GIS when
scanned/digitizedscanned/digitized
Lacks the dynamic,Lacks the dynamic,
interactive capabilities ofinteractive capabilities of
a GIS, which allow usersa GIS, which allow users
to retrieve informationto retrieve information
and choose mapand choose map
features to be displayedfeatures to be displayed
7. 30 October 2004 Theodore A. Samuels, B.Tech. 7
What isWhat is NotNot a GIS?a GIS?
(continued)(continued)
► Remote SensingRemote Sensing (Aerial & Satellite Imaging)(Aerial & Satellite Imaging)
& Global Positioning Systems& Global Positioning Systems (GPS)(GPS)
May beMay be data sourcesdata sources (input) of a GIS(input) of a GIS
Lack the capabilities of a GIS to analyze &Lack the capabilities of a GIS to analyze &
present informationpresent information
Venice, Italy Great Lakes
8. 30 October 2004 Theodore A. Samuels, B.Tech. 8
WhyWhy is GIS Technologyis GIS Technology
Important?Important?
► Map-MakingMap-Making
(Cartography)(Cartography)
Can create mapsCan create maps
centered oncentered on anyany
location,location, atat any scale,any scale,
atat anytime,anytime, forfor anyoneanyone
Can showCan show selectedselected
information,information, symbolizedsymbolized
effectivelyeffectively toto highlighthighlight
specific featuresspecific features
9. 30 October 2004 Theodore A. Samuels, B.Tech. 9
LayeringLayering
► Can presentCan present
many layersmany layers
of informationof information
that user maythat user may
turn on/offturn on/off
10. 30 October 2004 Theodore A. Samuels, B.Tech. 10
Information RetrievalInformation Retrieval
► Allows a user to select a location/area/object &Allows a user to select a location/area/object &
retrieve information about itretrieve information about it
11. 30 October 2004 Theodore A. Samuels, B.Tech. 11
Topological ModelingTopological Modeling
► Can recognize &Can recognize &
analyzeanalyze TopologyTopology **
((relationshipsrelationships betweenbetween
geographic features):geographic features):
Adjacency/ContiguityAdjacency/Contiguity
(“What is next to what”)(“What is next to what”)
ContainmentContainment (“What is(“What is
enclosed by what”)enclosed by what”)
ProximityProximity (“How close is(“How close is
one object to another”)one object to another”)
ConnectivityConnectivity (“Which(“Which
lines are connected bylines are connected by
which nodes”)which nodes”)
** Note:Note: NotNot TopographyTopography – description of the– description of the physical featuresphysical features of a regionof a region
Points represent sources of pollution.
Coloured circles show distance from pollution
sources & dark green areas show wetlands.
12. 30 October 2004 Theodore A. Samuels, B.Tech. 12
Network ModelingNetwork Modeling
► Can measureCan measure lengthlength
of each route orof each route or
route segmentroute segment
► Can calculateCan calculate timetime
required to travelrequired to travel
each route or routeeach route or route
segmentsegment
► Can determineCan determine
shortestshortest and/orand/or
least costly route(s)least costly route(s)
13. 30 October 2004 Theodore A. Samuels, B.Tech. 13
Decision-MakingDecision-Making
► Can plot results ofCan plot results of
queries & analysesqueries & analyses
► Can produce &Can produce &
evaluate multipleevaluate multiple
““What IfWhat If ” scenarios” scenarios
quickly, efficiently &quickly, efficiently &
effectivelyeffectively
Lake Nippigon Water Quality Analysis:
Sampled areas showing high concentrations
of flouride & nitrates
14. 30 October 2004 Theodore A. Samuels, B.Tech. 14
Organization & ResourceOrganization & Resource
ManagementManagement
► Links data sets together byLinks data sets together by common location datacommon location data
(i.e., addresses)(i.e., addresses)
► Helps departments & agenciesHelps departments & agencies share datashare data
► One department/agency can benefit from the workOne department/agency can benefit from the work
of anotherof another
► Data isData is collected oncecollected once && used many timesused many times
► No duplication; no “reinventing the wheel”No duplication; no “reinventing the wheel”
15. 30 October 2004 Theodore A. Samuels, B.Tech. 15
Cost EffectivenessCost Effectiveness
► GIS has savedGIS has saved $$$,$$$,$$$$$$,$$$,$$$ through increasedthrough increased
productivity & efficiency, and improved capabilitiesproductivity & efficiency, and improved capabilities
in forecasting & forewarning.in forecasting & forewarning.
16. 30 October 2004 Theodore A. Samuels, B.Tech. 16
WhenWhen have there beenhave there been
Advances in GIS Technology?Advances in GIS Technology?
TimeTime
FrameFrame
TechnicalTechnical
EnvironmentEnvironment
Major UsersMajor Users Major ApplicationMajor Application
AreasAreas
1960 to1960 to
19801980
MainframeMainframe
ComputersComputers
ProprietaryProprietary
SoftwareSoftware
Proprietary DataProprietary Data
StructuresStructures
GovernmentGovernment
UniversitiesUniversities
MilitaryMilitary
Land & ResourceLand & Resource
ManagementManagement
CensusCensus
Surveying &Surveying &
MappingMapping
17. 30 October 2004 Theodore A. Samuels, B.Tech. 17
WhenWhen have there beenhave there been
Advances in GIS Technology?Advances in GIS Technology?
TimeTime
FrameFrame
TechnicalTechnical
EnvironmentEnvironment
Major UsersMajor Users Major ApplicationMajor Application
AreasAreas
1980 to1980 to
Mid-1990sMid-1990s
Mainframes &Mainframes &
MinicomputersMinicomputers
Topological DataTopological Data
StructureStructure
Graphical UserGraphical User
Interfaces (GUI)Interfaces (GUI)
Remote SensingRemote Sensing
GPSGPS
GovernmentGovernment
UniversitiesUniversities
MilitaryMilitary
UtilitiesUtilities
BusinessBusiness
Land & ResourceLand & Resource
ManagementManagement
CensusCensus
Surveying &Surveying &
MappingMapping
FacilitiesFacilities
ManagementManagement
Market AnalysisMarket Analysis
18. 30 October 2004 Theodore A. Samuels, B.Tech. 18
WhenWhen have there beenhave there been
Advances in GIS Technology?Advances in GIS Technology?
TimeTime
FrameFrame
TechnicalTechnical
EnvironmentEnvironment
Major UsersMajor Users Major ApplicationMajor Application
AreasAreas
Mid-1990sMid-1990s
to Presentto Present
PCs & WorkstationsPCs & Workstations
MultimediaMultimedia
Network/InternetNetwork/Internet
Data IntegrationData Integration
Open SystemsOpen Systems
EnterpriseEnterprise
ComputingComputing
Object-RelationalObject-Relational
Data ModelData Model
GovernmentGovernment
UniversitiesUniversities
&& SchoolsSchools
MilitaryMilitary
UtilitiesUtilities
BusinessBusiness
GeneralGeneral
PublicPublic
Land & ResourceLand & Resource
ManagementManagement
CensusCensus
Surveying &Surveying &
MappingMapping
FacilitiesFacilities
ManagementManagement
Market AnalysisMarket Analysis
Geographic DataGeographic Data
BrowsingBrowsing
20. 30 October 2004 Theodore A. Samuels, B.Tech. 20
GIS CareersGIS Careers
► GIS TechnicianGIS Technician
Uses GPS to collect dataUses GPS to collect data
Converts data to suitable, usableConverts data to suitable, usable
formform
Creates & maintains GIS databasesCreates & maintains GIS databases
Produces cartographic mapsProduces cartographic maps
► GIS AnalystGIS Analyst
Uses GIS tools & databases to generate productsUses GIS tools & databases to generate products
that facilitate spatial analysis & decision-makingthat facilitate spatial analysis & decision-making
Implements theoretical approaches into GISImplements theoretical approaches into GIS
spatial analysisspatial analysis
21. 30 October 2004 Theodore A. Samuels, B.Tech. 21
GIS CareersGIS Careers
(continued)(continued)
► GIS ProgrammerGIS Programmer
Participates in the fullParticipates in the full Systems Development Life-CycleSystems Development Life-Cycle
(SDLC)(SDLC) of GIS projectsof GIS projects
Develops customized GIS applicationsDevelops customized GIS applications
► GIS ManagerGIS Manager
Directs staffing, development & implementation of GISDirects staffing, development & implementation of GIS
projectsprojects
Develops goals, budgets & sources of fundingDevelops goals, budgets & sources of funding
Implements long range plans, policies & procedures toImplements long range plans, policies & procedures to
guide GIS operationsguide GIS operations
Establishes & implements cooperative efforts with otherEstablishes & implements cooperative efforts with other
departments & organizationsdepartments & organizations
22. 30 October 2004 Theodore A. Samuels, B.Tech. 22
WhereWhere are GIS Applicationsare GIS Applications
Used?Used?
SectorSector ApplicationsApplications
AcademicsAcademics Teaching, Research, Bus Routing, Facilities Management,Teaching, Research, Bus Routing, Facilities Management,
School District DemarcationSchool District Demarcation
BusinessBusiness Banking, Insurance, Real Estate, Retail, Marketing, ShippingBanking, Insurance, Real Estate, Retail, Marketing, Shipping
GovernmenGovernmen
tt
Surveying & Mapping, Land & Resource Management, Census,Surveying & Mapping, Land & Resource Management, Census,
Elections, Weather Services, Highway Planning & Management,Elections, Weather Services, Highway Planning & Management,
Water & Wastewater Services, Public Safety, Law Enforcement,Water & Wastewater Services, Public Safety, Law Enforcement,
Crime Scene Investigation, Justice, Homeland Security,Crime Scene Investigation, Justice, Homeland Security,
Emergency Services, Health CareEmergency Services, Health Care
IndustryIndustry Forestry, Engineering, Transportation, Telecommunications,Forestry, Engineering, Transportation, Telecommunications,
Energy, Mining, Petroleum, Utilities (Electricity, Gas & Water),Energy, Mining, Petroleum, Utilities (Electricity, Gas & Water),
Media & EntertainmentMedia & Entertainment
MilitaryMilitary Training, Command & Control Logistics, Intelligence GatheringTraining, Command & Control Logistics, Intelligence Gathering
23. 30 October 2004 Theodore A. Samuels, B.Tech. 23
HowHow Can One Learn MoreCan One Learn More
About GIS?About GIS?
► Contact a career/guidance counsellor or theContact a career/guidance counsellor or the
geography department of your local secondarygeography department of your local secondary
school or post-secondary institution, such as:school or post-secondary institution, such as:
Oshawa, OntarioOshawa, Ontario Lindsay, OntarioLindsay, Ontario Toronto, OntarioToronto, Ontario
Peterborough, OntarioPeterborough, Ontario
University of TorontoUniversity of Toronto
Toronto, OntarioToronto, Ontario Toronto, OntarioToronto, Ontario
24. 30 October 2004 Theodore A. Samuels, B.Tech. 24
SummarySummary
►GIS is among theGIS is among the most sophisticatedmost sophisticated
information systems being used today.information systems being used today.
►GIS is anGIS is an essential software toolessential software tool for:for:
Delivering government servicesDelivering government services
Making business decisionsMaking business decisions
Analyzing & presenting spatial informationAnalyzing & presenting spatial information
in academic researchin academic research
Helping the general public to understandHelping the general public to understand
the world around themthe world around them
25. 30 October 2004 Theodore A. Samuels, B.Tech. 25
ResourcesResources
► American Congress on Surveying & Mapping (ACSM)American Congress on Surveying & Mapping (ACSM)
Careers in Cartography and GIS,Careers in Cartography and GIS, ACSM Publications,ACSM Publications,
Gaithersburg, MD, 2003Gaithersburg, MD, 2003
► Environmental Systems Research Institute (ESRI)Environmental Systems Research Institute (ESRI)
Geography Matters – An ESRI White Paper,Geography Matters – An ESRI White Paper, ESRI, Redlands,ESRI, Redlands,
CA, September 2002CA, September 2002
What Is GIS?,What Is GIS?, ESRI, Redlands, CA (www.gis.com/whatisgis/,ESRI, Redlands, CA (www.gis.com/whatisgis/,
accessed October 2004)accessed October 2004)
► M.F. Goodchild & K.K. Kemp M.F. Goodchild & K.K. Kemp
NCGIA Core Curriculum in GIS: Unit 1 – What Is GIS?,NCGIA Core Curriculum in GIS: Unit 1 – What Is GIS?, NationalNational
Center for Geographic Information and Analysis, University ofCenter for Geographic Information and Analysis, University of
California, Santa Barbara CA, 1990California, Santa Barbara CA, 1990
(www.geog.ubc.ca/courses/klink/gis.notes/ncgia/u01.html,(www.geog.ubc.ca/courses/klink/gis.notes/ncgia/u01.html,
accessed October 2004)accessed October 2004)
26. 30 October 2004 Theodore A. Samuels, B.Tech. 26
ResourcesResources
(continued)(continued)
► Lawrie Keillor-FaulknerLawrie Keillor-Faulkner
Course notes forCourse notes for Technical Issues of GIS,Technical Issues of GIS, Geomatics Institute,Geomatics Institute,
Sir Sandford Fleming College, Lindsay, ON, 2004Sir Sandford Fleming College, Lindsay, ON, 2004
► C.P. Lo & Albert K.W. YeungC.P. Lo & Albert K.W. Yeung
Concepts and Techniques of Geographic InformationConcepts and Techniques of Geographic Information
Systems,Systems, Prentice-Hall, Inc., Upper Saddle River, NJ, 2002Prentice-Hall, Inc., Upper Saddle River, NJ, 2002
► University of Toronto, Dept. of GeographyUniversity of Toronto, Dept. of Geography
Careers in GIS – GIS Day 2001Careers in GIS – GIS Day 2001 (Presentation), University of(Presentation), University of
Toronto, Mississauga, ON, 2001Toronto, Mississauga, ON, 2001
► US Department of the InteriorUS Department of the Interior
Geographic Information Systems PosterGeographic Information Systems Poster, US Geological, US Geological
Survey (USGS), Reston, VA, 1989Survey (USGS), Reston, VA, 1989
(http://erg.usgs.gov/isb/pubs/gis_poster/, accessed October(http://erg.usgs.gov/isb/pubs/gis_poster/, accessed October
2004)2004)