Michael P. McGuire
Geospatial Data Services Manager, Center for Urban Environmental Research
Doctoral Student, Information Systems, UMBC
M.S., Information Systems, UMBC
B.S., Geography and Environmental Planning, Towson University
Area of Expertise:
Geographic information systems; spatial data warehousing; spatial analysis; cartographic techniques;
application development; database design; systems analysis and design;
decision support systems; network administration.
Mr. McGuire is the Geospatial Data Services Manager for CUERE. His duties
include management of spatiotemporal databases, installation and
management of GIS infrastructure, development of web-based GIS applications, and management of spatial analysis
support for research projects. Prior to his appointment at CUERE, Mr.
McGuire held the position of GIS Analyst for the Baltimore County Office
of Planning. At the Office of Planning Mr. McGuire supervised GIS
personnel; coordinated and managed GIS projects; and designed, developed,
and implemented GIS applications and databases. Mr. McGuire developed a
methodology, programming tools, and data model for creation of a
large-scale parcel-based land use database. He also implemented GIS
support for the 2002 Baltimore County Council redistricting and designed
cartographic products for the Baltimore County 2010 Master Plan. Prior to
the Baltimore County Office of Planning, Mr. McGuire held the position of
Environmental Specialist at the Maryland Department of Environment (MDE)
and the position of GIS Technician for the Baltimore County Office of
He is an active member of the American Society for Photogrammetry and Remote Sensing
Chen, A. Gangopadhyay, G. Karabatis, M. McGuire, and C. Welty. (2005)
“Semantic integration and knowledge discovery in environmental
research.” Journal of Database Management. (accepted for publication).
Chen, Z., A. Gangopadhyay, S. Holden, G. Karabatis, M. McGuire. “Semantic Integration of Government Data for Water Quality Management.” Government Information Quarterly Special Issue on Interoperability, (Revised and resubmitted 11/30/2006; accepted 4/10/07; in press 5/25/07.)
McGuire, M.P., A. Komlodi, A. Gangopadhyay, and C. Swan. (2006) “A User-Centered Design of a Spatiotemporal Data Warehouse for Data Exploration in Ecological Research.” Submitted to Ecological Informatics Special Issue Novel Concepts of Ecological Data Management (submitted 12/04/2006); to be revised version submitted 06/26/07.
Conference Proceedings and Presentations:
P. McGuire and Aryya Gangopadhyay. (2006). “Modeling, Visualizing, and
Mining Hydrological Spatial Hierarchies for Water Quality Management ”
to be presented at: ASPRS 2006 Annual Conference, Reno, Nevada, May 1 -
5, 2006. ((c)2006, ASPRS)
Michael P. McGuire (2004). “Using DTM and LIDAR data to analyze human induced topographic change” Proceedings of ASPRS 2004 Fall Conference, Kansas City, Missouri, September 12 - 16, 2004. ((c)2004, ASPRS)
Hungerford, M McGuire, C Poppell , K T.Cuenco, J Tighe, M Megginso n ,
P Ryan (2004). “Use of a geographic information system to examine
spatial patterns in Maryland FoodNet data” (Poster). Annual Meeting of
the American College of Epidemiology, Boston , MA , September 11-14,
Map design for The State of the Baltimore Region: A Baseline Report for
a New Century, 2002.
LiDAR: So Many Possibilities Poster Session. Baltimore Ecosystem
Study Annual Meeting, 2002.
CUERE: State of the Baltimore Region 2002 and Cub Hill: A Case Study of
the Influence of Land Use and Environmental Factors on Landscape
Characteristics and Dynamics in Urban Ecosystems. Poster Session. Maryland
Association of Counties Conference, 2002.
Panel Discussion: Second National Conference on Science, Policy and the
Environment- Panel Discussion on Community Energy and Environment 2001:
Seeing the Big Picture with Remote Sensing and Satellites.
Map design for Baltimore County Master Plan 2010.
Baltimore County Council Redistricting 2002.
Baltimore County Land Use Projections 2025 (GIS Application)
Adequate Public School Facilities Ordinance Development Impact (GIS