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Building a Web-based GIS Portal

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Building a Webbased GIS Portal – PowerPoint PPT presentation

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Title: Building a Web-based GIS Portal


1
Building a Web-based GIS Portal For the Great
Lakes Observing System (GLOS)
Pete Giencke Program Specialist Data and
Information Management
2
Introduction
3
GLOS GIS Portal
The Great Lakes Observation System GIS portal
intends to allow users of all levels visualize
and discover geospatial data for the region at
large. The GLOS GIS Portal was written to
address critical communication and information
gaps among the various entities involved in Great
Lakes research, management, policymaking and use
at the local, regional, and international levels.
4
GLOS GIS Portal
5
Building Upon RDX 2004
  • Develop and implement advanced informational
    tools to promote science, education and informed
    decision making.
  • Adopt and implement standards for data
    collection, management, access, exchange and tool
    development.
  • Improve communication between the Great Lakes
    data and information management and user
    communities.

http//rdx.glc.org/conf04.html
6
Background
7
About the Integrated Ocean Observing System (IOOS)
  • A global ocean observing system was first
    suggested by the Intergovernmental Oceanographic
    Commission in 1990.
  • Ocean.US Office established in 2000 planning
    began for development of a sustained and
    integrated ocean observing system for the U.S.
  • The societal goals of IOOS focus on
  • detecting and predicting oceanic components of
    climate variability
  • facilitating safe and efficient marine operations
  • ensuring national security
  • managing resources for sustainable use
  • preserving and restoring healthy marine
    ecosystems
  • mitigating natural hazards
  • ensuring public health

8
IOOS Vision
Will consist of subsystems for observations, data
management and communications (DMAC), data
analysis and modeling, and education
9
IOOS Regional Associations
10
Examples
GoMOOS.org
11
Examples
OpenIOOS.org
12
Examples
http//www.sco.wisc.edu/wisclinc/
13
Great Lakes Observing System (GLOS)
  • A Business Plan and governance structure have
    been established by 30-member regional steering
    committee, led by the Great Lakes Commission
  • Inaugural Board of Directors for the GLOS
    Regional Association will be elected in April
    2006
  • Membership in GLOS is being sought from all
    sectors and potential user communities maritime,
    environmental and industry interests, scientists,
    educators
  • Web site www.glos.us

14
Design
15
Application Infrastructure
  • PostGIS ArcSDE Backend
  • Store access data
  • CRON/bash/perl
  • Web Service Scraping
  • Mapserver
  • Heavy lifting map generation
  • Ka-Map
  • Customized, lightweight caching frontend

16
Design Factors (the ...abilities)
  • Interoperability/Scalability
  • Extensibility
  • Sustainability
  • Accessibility/Usability

17
Interoperability
  • Adherence to known, open standards
  • XML (SOAP), OGC (GML, WFS, WMS),
  • Utilize open source software throughout
  • Mapserver, Postgres, ka-map
  • Ensure cross-browser, cross-platform support
  • Firefox, Internet Explorer, Safari
  • Apple, Linux, Windows
  • Screen resolutions, bandwidth?

18
Extensibility Scalability
  • Support disparate functionality with disparate
    datasets in disparate formats
  • Mapserver, GDAL backbone
  • Web Services, geospatial, and ancillary data
    aggregation, visualization, and dissemination.
  • Bi-directional temporal navigation
  • Retain historical data?
  • Incorporate model output?

19
Accessibility/Usability
  • Provide users with a familiar Google-like
    browsing experience
  • Provide different levels of access based on
    rule-based authorization
  • KISS Keep it Simple .
  • Caching nature retaining unstable services?

20
Operation
21
Operations
  • Aggregation
  • Ingest existing/legacy assets (orthoimagery,
    project-related GIS data, etc) in multiple
    formats (shapefile, SQL, etc).
  • Input distributed (WFS/WMS/XML) geospatial
    information
  • Visualization
  • Discovery

22
Demo
23
Application Highlights
  • Visualizing disparate data
  • Querying data
  • Incorporating real-time, or near real-time data
  • Incorporating Web Services
  • Linking to data
  • Data Discovery

24
Visualizing Disparate Data
25
Querying data
26
Incorporating Real-Time Data
27
Incorporating Web Services
28
Data Discovery
29
Demonstration
30
Live Demonstration
http//mds.glc.org/glosMap/htdocs
31
Conclusions
32
Conclusions
  • Challenges
  • Acquiring Data
  • Integration with IOOS Assets
  • Standards
  • Roadmap
  • GLOS
  • GLOS GIS Portal

33
Conclusions
Questions? Pete Giencke pgiencke_at_glc.org
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