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Barbara Parmenter

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Barbara Parmenter. The University of Texas at Austin. School of Architecture ... 10 years as a GIS project management ... A map connected to a database ... – PowerPoint PPT presentation

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Title: Barbara Parmenter


1
Barbara Parmenter
  • The University of Texas at Austin
  • School of Architecture
  • Department of Urban Planning
  • Developed and teach the GIS program for urban and
    regional planning
  • Other experience
  • 10 years as a GIS project management consultant
    on major electric, gas, and water utility
    projects in North America
  • E-mail bparmenter_at_mail.utexas.edu

2
Please introduce yourself
  • Your name
  • Where you work
  • Your professional field
  • Have you used GIS before?
  • During breaks and meals, please tell me more
    about your work and what you need from this
    course

3
GIS Definitions
  • A map connected to a database
  • A computerized data base management system for
    capture, storage, retrieval, analysis, and
    display of spatial data
  • Key concept well-designed system of data and
    tools

4
GIS requires understanding basic principles in
  • Mapping and cartography
  • Database design
  • If you emphasize only mapping or database design,
    you will your GIS will not be as good as it can
    be.

5
Concepts are most importantSoftware can be
learned more easily
  • What remains constant
  • Spatial analysis concepts are relatively stable
  • All GIS software programs support basic analysis
    concepts
  • What changes frequently
  • Tools, user interfaces, inclusion of additional
    capabilities (e.g., 3D, spatial statistics)
  • Data formats
  • Focus students on concepts not software training

6
GIS strengths
  • Good database management system for spatial
    information
  • More efficient updates
  • Easy and effective display
  • Able to integrate data from many different
    sources (but)

7
GIS Weaknesses
  • Cost and difficulty of database creation
  • Higher accuracy, higher costs
  • Integration of data from diverse sources can
    result in poor overall accuracy if not well
    managed
  • Representation of dynamic data flows,
    dispersion, people, time
  • Representation of fuzzy data
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