Fundamentals of Geographic Information Systems and Spatial Data - PowerPoint PPT Presentation

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Title: Fundamentals of Geographic Information Systems and Spatial Data


1
Fundamentals of Geographic Information Systems
and Spatial Data
  • Laurie Schretlen Leah Vanderjagt
  • Netspeed October 20, 2005

2
GIS Spatial Data - Today
  • Introduction to Geographic Information Systems
    (GIS) technology basics, applications, and
    directions
  • Spatial data information resources for GIS
    research
  • Spatial data access
  • in Canada and in Alberta
  • GEODE

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9
GIS Components
  • Map data
  • Information about location w/graphics

http//www.zoology.unimelb.edu.au/stats/Eworksheet
s/images/RandomCoordinates.jpg
10
GIS Components
  • Attribute data
  • Information about what can be found at a
    particular location

http//www.extension.umn.edu/distribution/naturalr
esources/images/5740f02.gif
11
GIS as database
http//utca.eng.ua.edu/projects/final_reports/0240
3fnl_files/image004.jpg
12
Spatial data examples
  • Road networks
  • Vegetation inventories
  • Soil inventories
  • Census results
  • Municipal boundaries
  • Elevation values
  • Climate readings
  • Habitat ranges

13
GIS Components
  • Software
  • A technology for storing and analyzing location
    and attribute data

http//www.l.hsr.ch/skripte/gisscripts/media/softw
arescreen1.jpg
14
GIS Components
  • Hardware
  • Systems to support rapid graphic analysis and
    processing

http//www.gdf-hannover.de/pics/gisrechner.png
15
GIS Personnel
  • People
  • Project coordinators
  • Data analysts
  • Programmers
  • Data and knowledge managers
  • Librarians

16
GIS Components
  • Methods
  • The analysis to be performed on the data

http//www.wwf.org.co/colombia/images/a28_c.gif
17
GIS Methods and Analysis
  • GIS is used to answer questions and support
    decisions
  • The quality of the answer depends on
  • The METHODS chosen
  • The DATA (more on that later)

18
Data Layers
  • The ability to stack layers in a GIS allows us
    to ask questions about the relationship between
    different objects of study

Image courtesy of Charlene Nielsen, Department of
Biology, University of Alberta
19
Overlay
  • What two things occur at the same location?

http//www.orthogate.com/guide/workshops/images/im
age002.gif
20
Overlay GIS
  • What residences lie beneath this toxic plume of
    ammonia?

21
Overlay GIS
http//www.saultc.on.ca/GIS/images/RedPineTraill_s
m.jpg
22
Buffering
  • What lots are located near this road?

http//news.sina.com.cn/duihua/sars/LearnMoreAbout
GIS/gis4.files/buffer.gif
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Modeling
  • GIS is used to ask what if?
  • Testing scenarios and possible outcomes

25
Modeling
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Image created by Leah Vanderjagt, 2005 Data
NRCan CDED City of Edmonton 2001 Digital
Orthophotos
28
Modeling - Site Selection
  • Combining best conditions from multiple layers to
    come up with the best location for a proposed
    facility
  • Eg. Good slope drainage enough distance from
    streams access to roads Best site

29
Modeling
30
GIS Applications
  • GIS applications combine multiple analytical
    processes to support decision-making
  • Some examples from non-profit and government
    sectors

31
Habitat tracking and analysis
  • maps.gov.bc.ca/imf406/imf.jsp?sitelibc_habwiz

32
www.shim.bc.ca/atlases/shim/shim.htm
33
Health Care Disease outbreak monitoring and
modeling
Avian Flu
Affected and at-risk poultry farms
Dispersion of Avian Flu in Thailand
http//www.gisdevelopment.net/application/health/l
inks/ma04184pf.htm
34
SARS Mapping
Distribution map
Outbreak model Buffalo, NY
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Facilities Management for Municipal Government
37
Route Optimization Modeling
38
Crime Analysis
39
Other uses
  • Many groups still need to create paper maps to
    support operations - nearly always GIS-based
  • GIS is also used for storage of information
    there is an archiving function

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Directions for GIS
  • WEB APPLICATIONS
  • Standards
  • Unlocking the GIS black box -distributed
    experimentation and collaboration
  • GIScience

42
GIS in Academic Institutions
  • GIS is used extensively in science/ecology
    disciplines
  • Renewable resources management
  • Forestry
  • Biology (ecology)
  • Geography
  • Earth and atmospheric sciences
  • Geology

43
GIS in Academic Institutions
  • Also used in
  • Civil engineering
  • Business
  • Economics
  • History
  • Psychology
  • Health

44
GIS and Libraries
  • Community demographic analysis

45
GIS - Bibliography
46
Spatial data access
  • Map Attribute data is usually referred to
    as spatial data
  • Locating the right spatial data and obtaining the
    rights to use it is a major component of every
    GIS project

47
Spatial data quality Inconsistencies
48
Spatial data quality Projections
http//www.colorado.edu/geography/gcraft/notes/map
proj/gif/twoproj.gif
49
Spatial data access
  • Spatial data is expensive to create and update
  • Government agencies and large corporations can
    afford it
  • Data sharing is not necessarily a part of the
    plan

50
Spatial data access
  • If its shared, spatial data is either sold by
    the producer or by a designated value-added
    reseller
  • Public consultations have resulted in open
    sharing of more and more spatial data sets at the
    federal level
  • Some federal data is made available through the
    Depository Services Program

51
Canadian Geospatial Data Infrastructure
52
Spatial data access
  • There is much more data available for purchase
  • Therefore, there is a spatial data economy in
    Canada
  • This economy is driven by cost-recovery policies
  • Government agencies charge other agencies,
    corporations, and individuals for data access

53
Different models of access
  • United States wide, very open access to drive
    commercial development
  • Canada stewardship model of cost-recovery
  • Provincial economy examples
  • Manitoba
  • Alberta

54
Alberta Policy Environment
  • Government agencies cost-recovery sales
  • Third party vendors data enhancers and resellers
    for profit
  • Data producers who do not sell or distribute
    their data

55
Challenges to Access
  • What is the result of Albertas policy
    environment?
  • Data creators dont have sufficient resources to
    respond to individual researcher demand
  • Data suppliers do not document or support data
    products
  • Data suppliers primary business is not data
    supply, ie. creating happy data customers

56
Post-secondary Response
  • Underground data economy have and have-not
    departments at one institution
  • Some data creators provide data in exchange for
    research results
  • Individuals or projects receive licenses for
    data cannot be shared with institution
  • Academic libraries began to acquire data through
    license (database model)
  • Successful examples NRCan, DMTI

57
GEODE
  • To address issues of access to spatial data in
    Alberta, the GEODE project was launched in 1999
  • Participating institutions
  • University of Alberta
  • University of Calgary
  • SAIT
  • University of Lethbridge
  • Miistakis Institute for the Rockies

58
GEODE
  • Access to Alberta-based spatial data
  • Digital elevation models
  • Topographic data
  • Alberta Vegetation Index
  • Census boundaries
  • Landsat 7 imagery
  • Metadata development
  • Data browser
  • 10,000 files downloaded

59
Benefits to GIS Researchers
  • Consortium-wide access to high quality data
  • Centralized price and acquisition negotiations
  • The opportunity to work with industry-standard
    Alberta data

60
Benefits to suppliers
  • One point of access for post-secondary
    institutions
  • Data support coordinated through library and
    departments
  • Institutional licensing
  • Training of future employees with industry
    standard data

61
GEODEs Transformation
  • GEODE was reconceived in late 2004 as a
    consortium to facilitate and promote access to
    spatial data for post-secondary education in
    Alberta
  • Objectives
  • Develop new funding strategies
  • Enhance contents of collection
  • Expand institutional membership

62
Benefits of institutional membership
  • Access to GEODE collections
  • Training and assistance with GEODE service
    delivery
  • Advocacy and liaison with vendors
  • Cost-sharing
  • Technology/infrastructure guidance
  • Collaborative development of best practices

63
GIS for Post-secondary Education
  • For access to spatial data for GIS research and
    teaching to continue and thrive in Alberta,
    academic libraries need to collaborate to
  • Develop spatial data collections according to
    shared research priorities
  • Lobby for access with producers and vendors
  • Share resources and expertise

64
Moving forward
  • Long-range technology goal database-driven web
    service delivery of spatial data files
  • GEODE is seeking assistance with the development
    of a province-wide licensing model for spatial
    data use in research and teaching

65
Questions? Discussion?
  • Laurie Schretlen lschretl _at_ ucalgary.ca
  • Leah Vanderjagt leahv _at_ ualberta.ca

66
Web Citations
  • Google Local www.google.ca
  • Google Earth earth.google.com
  • BC Habitat Wizard maps.gov.bc.ca/imf406/imf.jsp?s
    itelibc_habwiz
  • Sensitive Habitat Inventory and Mapping
    www.shim.bc.ca/atlases/shim/shim.htm
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