Building a Web-based GIS Portal For the Great Lakes Observing System (GLOS) Pete Giencke Program...
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Transcript of Building a Web-based GIS Portal For the Great Lakes Observing System (GLOS) Pete Giencke Program...
Building a Web-based GIS PortalFor the Great Lakes Observing
System (GLOS)
Pete GienckeProgram Specialist
Data and Information Management
Introduction
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 amongthe various entities involved in Great Lakesresearch, management, policymaking anduse at the local, regional, and international levels.
GLOS GIS Portal
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
Background
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
Will consist of subsystems for observations, data management and communications (DMAC), data analysis and modeling, and education
User Driven, End-to-End System
User Groups/Applications
Analysis, Models, Data Requirements
Data Communications & Management
Observing Subsystem
IOOS Vision
IOOS Regional Associations
GoMOOS.org
Examples
OpenIOOS.org
Examples
http://www.sco.wisc.edu/wisclinc/
Examples
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
Design
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
Design Factors (the ...abilities)
• Interoperability/Scalability
• Extensibility
• Sustainability
• Accessibility/Usability
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?
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?
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?
Operation
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
Demo
Application Highlights
• Visualizing disparate data
• Querying data
• Incorporating real-time, or near real-time data
• Incorporating Web Services
• Linking to data
• Data Discovery
Visualizing Disparate Data
Querying data
Incorporating Real-Time Data
Incorporating Web Services
Data Discovery
Demonstration
Live Demonstration
http://mds.glc.org/glosMap/htdocs
Conclusions
Conclusions
• Challenges
• Acquiring Data
• Integration with IOOS Assets
• Standards
• Roadmap
• GLOS
• GLOS GIS Portal