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Building a Web-based GIS Portal For the Great Lakes Observing System (GLOS) Pete Giencke Program Specialist Data and Information Management.

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Presentation on theme: "Building a Web-based GIS Portal For the Great Lakes Observing System (GLOS) Pete Giencke Program Specialist Data and Information Management."— Presentation transcript:

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 Will consist of subsystems for observations, data management and communications (DMAC), data analysis and modeling, and education IOOS Vision

9 IOOS Regional Associations

10 GoMOOS.org Examples

11 OpenIOOS.org Examples

12 http://www.sco.wisc.edu/wisclinc/ Examples

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 Challenges Acquiring Data Integration with IOOS Assets Standards Roadmap GLOS GLOS GIS Portal

33 Conclusions Questions? Pete Giencke pgiencke@glc.org


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