Southern IL GIS Mapping for Next Generation 9-1-1 Based on NENA Standard Data Format By: William...
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Transcript of Southern IL GIS Mapping for Next Generation 9-1-1 Based on NENA Standard Data Format By: William...
Southern IL GIS Mapping for Next Generation 9-1-1 Based
on NENA Standard Data Format
By: William BarrettAdviser: Dr Guangxing Wang
Introduction•What is Next Generation 9-1-1?
•Advancements in communications technology
Research statement
• Facilitate the development and implementation of a Geographic Information
Systems (GIS)-based Next Generation 911 (NG911) system for Southern
Illinois.
• Provide relevant stakeholders with standardized spatial datasets and an
advanced 9-1-1 system.
• Mapping the required geospatial data layers based on National Emergency
Number Association (NENA) standard data formats.
• Check and reduce errors and uncertainties, and conduct data quality control
and standardization.
• If possible, develop a conceptual model for quality control of products.
Research Questions
1. What are the major uncertainty sources of the existing
geospatial data layers?
2. How should the existing geospatial data layers be
converted from numerous data formats to meet the
requirements of the NENA standard data format?
3. What would be the best systematical methodology to
conduct quality control of data layers across the 9-1-1
maps created by the CSI?
Literature Review
• Data quality control issues (Karassenberg and Jong 2005)
• Position errors vs. attribute errors (Lunetta and Congalton1991)
• Identify and quantify errors and uncertainty (Pontius et al.
2000;2002)
• Uncertainty analysis methods (Wang et al. 2005)
• Making everything conform to the National Emergency Number
Association standard (NENA-02-010)
Study Area
• The 23 Counties of Southern IL.
Study Area
Methods
Anticipated Results• A Geographic Information Systems (GIS)-based Next
Generation 911 (NG911) system for Southern Illinois.
• Each county in the CSI group would have a standardized spatial
datasets that include
• Emergency service number (ESN), Public safety answering point
(PSAP), Structures, cell towers, roads, railroads….etc
• Guidelines for quality control of data layers
Significance of the Study
•Because of advancements in communications
technology.
•The way to reach 9-1-1 is changing.
•The existing 9-1-1 system was never intended to
receive calls and data from these types of
devices.
Significance of the Study
• This project will facilitate the development and
implementation of a GIS-based Next Generation 9-1-1
system for the multi-county area of southern Illinois
• If they can not find you they can not help you
• The tools that will be given to the 9-1-1 management will
be greater because of this project.
Work Cited
• Error & Uncertainty
• Goodchild, M.F., Uncertainty: The Achilles heel of GIS?, Geo Info Systems, 8 (11), 50-52, 1998. (Academic
Pursuits column)
• Fisher, Peter F. "Knowledge-based approaches to determining and correcting areas of unreliability in
geographic databases." In The accuracy of spatial databases, Michael Goodchild and Sucharita Gopal, 45- 54.
New York: Taylor & Francis, 1989.
• Walsh, Stephen J, Lightfoot Dale, and Butler David. "Recognition and Assessment of Error in Geographic
Information Systems." Photogrammetric Engineering and Remote Sensing 53, no. 10 (1987): 1423-1430.
• Veregin, Howard. "Error modeling for the map overlay operation." In The Accuracy of Spatial Databases,
Michael Goodchild and Sucharita Gopal, 3-18. New York: Taylor & Francies, 1989.
• Goodchild, Michael F. "Modeling error in objects and fields." In the accuracy of spatial databases, Michael
Goodchild and Sucharita Gopal, 107-114. New York: Taylor & Francis, 1989.
Work Cited
• Methodology
• Wang, Guangxing, George Z. Gertner, Shougan Fang, and Alan B. Anderson. "A methodology for Spatial
Uncertainty Analysis of Remote Sensing and GIS Products." Photogrammetric Engineering & Remote Sensing
71, no. 12 (2005): 1423-1432
• Gertner, George, Guangxing Wang, Shougan Fang, and Alan B. Anderson. "Mapping and uncertainty of
predictions based on multiple primary variables from joint co-simulation with Landsat TM image and polynomial
regression." Remote Sensing of Environment 83 (2002): 498-510
• Karssenberg, D, and De K. Jong. "Dynamic environmental modeling in GIS: 2. Modeling error propagation."
International Journal of Geographical Information Science 19, no. 6 (2005): 623-637.
• Heuvelink, Gerard B., Peter A. Burrough, and Alfred Stein. "Propagation of errors in spatial modelling with
GIS." International Journal of Geographical Information Systems 3, no. 4 (1989): 303-322.
• Heuvelink, Gerard B. Error Propagation in Environmental Modeling with GIS. Bristol, PA: Taylor & Francis,
1998.
Work Cited• Standardization & GIS in emergency service
• Horan, Thomas A., and Benjamin L. Schooley. "Time-Critical Information Services." Communications of the ACM
50, no. 3 (2007): 73-78.
• Davis, Frank W., Dale A. Qualtrochi, Merrill K. Ridd, Stephen J. Walsh, and Joel C. Michaelsen. "Environmental Analysis Using Integrated GIS and Remotely Sensed Data: Some Research Needs and Priorities." Photgrammetric Engineering & Remote Sensing 57, no. 6 (1991): 689-697.
• Innes, J, and D Simpson. "Implementing GIS for planning." Journal of the American Planning Association 59, no. 2 (1993): 230-235.
• NENA Standard Data Formats for ALI Data Exchange & GIS Mapping NENA-02-010, Version 8.1, January 8, 2008
Questions?