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Global Change Master Directory (GCMD)
Land Use Evolution and Impact Assessment Model
Entry ID: UIUC_LEAM


Summary
Abstract: The Land Use Evolution and Impact Assessment Model (LEAM) its development, and its application to several regions within the continental United States is conducted and managed by a team of faculty, staff, and students at the University of Illinois at Urbana-Champaign. This team brings together expertise in substantive issues, modeling, high-performance computing, and visualization coming from the departments of Landscape Architecture, Urban Planning, Geography, Economics, Natural Resources and Environmental Sciences, the National Center for Supercomputing Applications (NCSA), the United States Army Corp of Engineers, and private industry. The mission of the LEAM group is to help others understand the relationships between human economic/cultural activities and biophysical cycles from a changing land use perspective. All of us must realize that these interacting systems behave in very complex and dynamic ways. Understanding the extent of how one system affects another will allow us to make better land use management decisions in the future.

Related URL
Link: PROJECT HOME PAGE
Description: Land Use Evolution and Impact Assessment Model project home page.

ISO Topic Category
ENVIRONMENT
GEOSCIENTIFIC INFORMATION


Access Constraints
Login access is required for various parts of the site including read and write permission for the directories and files. Please contact the LEAM group for more information.


Keywords
Models
Land Use Changes
Landscape
Urban Planning
Impact Assessments
Decision Making


Personnel
LAND USE EVOLUTION AND IMPACT ASSESSMENT MODEL (LEAM) GROUP
Role: TECHNICAL CONTACT
Phone: 217-333-5172
Fax: 217-244-1717
Email: deal at uiuc.edu
Contact Address:
111 Temple Buell Hall
611 Taft Drive
City: Champaign
Province or State: IL
Postal Code: 61820
Country: USA


TYLER B. STEVENS
Role: SERF AUTHOR
Phone: 301-851-8113
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
5700 Rivertech Court
City: Riverdale
Province or State: MD
Postal Code: 20737
Country: USA


Publications/References
Aurambout, Jean-Phillippe, Anton G. Endress, and Brian M. Deal. 2004. A spatial dynamic model to simulate population variations and movements within fragmented landscapes. Ecological Modeling In Review.

Aurambout, Jean-Phillippe, Anton G. Endress, and Brian M. Deal. October 2005. A spatial model to estimate habitat fragmentation and its consequences on long-term persistence of animal populations. Environmental Monitoring and Assessment, Volume 109, Numbers 1-3, pp. 199-225.

Choi W and Sun Z. Calibration of Land Use Change Drivers in Support of Dynamic Urban Growth Change Modeling. The Geographical Journal of Korea 39: 325-335, 2005.

Choi, Woonsup. Climate Change, urbanization, and hydrological impacts. International Journal of Global Environmental Issues. 2004. Volume 4, No. 4, pp. 267-286.

Deal, Brian M. 2001. Ecological Urban Dynamics: the Convergence Spatial Modeling and Sustainability. Journal of Building Research and Information 29:381-393.

Deal, Brian M. 2002. Video Review: "The Next Industrial Revolution, by W. McDonough, M Braungart". Journal of The American Planning Association.

Deal, Brian M. 2003. Book Review: "Ecological Planning: A Historical and Comparative Synthesis, by Forster Ndubisi, Baltimore, MD: Johns Hopkins University Press. 2002". Journal of Planning Literature.

ADeal, Brian M. and Daniel Schunk. 2004. Spatial Dynamic Modeling and Urban Land Use Transformation: A SImulation Approach to Assessing the Costs of Urban Sprawl. Ecological Economics 51:79-95.

Fang SF, Gertner GZ, Sun Z and Anderson AA. The impact of interactions in spatial simulation of the dynamics of urban sprawl. Landscape and Urban Planning 73: 294-306, 2005.

Goran, William and Brian M. Deal. 2002. Technologies to Help Installations Plan Across Fence Lines. Army Acquisition, Logistics, and Technology, 2002, 32-34.

Wang, Yun, Woonsup Choi, and Brian M. Deal. 2005. Long-term Impacts of Land Use Change on Non-point Source Pollutant Loading for St. Louis Metropolitan Area, USA. Environmental Management DOI:10.1007/s00267-003-0315-8.

Yang, Limin, G. Xian, J. Klaver, and Brian M. Deal. 2003. Urban Land Cover Change Detection Through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data. Photogrammetric Engineering & Remote Sensing 69, no. 9:1003-1010.
Extended Metadata Properties
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Creation and Review Dates
SERF Creation Date: 2010-09-10
SERF Last Revision Date: 2018-08-21



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