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GIS-Based Predictive Modeling and Urban Industrial Archaeology: A Case Study In London, Ontario

Author(s): Daniel J Trepal ; Eric Pomber ; Don Lafrenier

Year: 2016

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We present a case study demonstrating a novel GIS-based archaeological predictive model (APM) adapted for use in postindustrial cities.  In common use among prehistoric archaeologists APMs are also a useful way to analyze historical sources on a landscape scale. This project harnesses massive amounts of historical and modern spatial data to:  determine urban industrial archaeological potential; to determine the potential for the persistence of related historical environmental hazards; and to gauge accessibility for excavation and/or remediation. The model achieves a very high spatial resolution using a host of archival sources such as fire insurance plans, geodetic surveys, and business directories along with modern land cover, land use, zoning, and ownership data. This model is broadly applicable to fields (such as GISciences and urban morphology) and professions (such as urban planning) outside archaeology, in particular facilitating strong, early integration of archaeological and historical data into the urban planning and redevelopment process. 

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GIS-Based Predictive Modeling and Urban Industrial Archaeology: A Case Study In London, Ontario. Daniel J Trepal, Eric Pomber, Don Lafrenier. Presented at Society for Historical Archaeology, Washington, D.C. 2016 ( tDAR id: 434774)


Spatial Coverage

min long: -129.199; min lat: 24.495 ; max long: -66.973; max lat: 49.359 ;

Record Identifiers

PaperId(s): 751

Arizona State University The Andrew W. Mellon Foundation National Science Foundation National Endowment for the Humanities Society for American Archaeology Archaeological Institute of America