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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Mapping Historical Archaeology And Industrial Heritage: The Historical Spatial Data Infrastructure, Daniel Trepal, Don Lafreniere, Timothy Stone
Mapping Historical Archaeology And Industrial Heritage: The Historical Spatial Data Infrastructure, Daniel Trepal, Don Lafreniere, Timothy Stone
Michigan Tech Publications
While a vibrant and growing research literature exists on the value of GIS to archaeology in general, the application of geospatial digital data to the subfield of historical archaeology is less well developed, especially in North America. This is particularly true for the era of industrialization, where the archaeological record is accompanied by a comparatively rich historical record. Historical and industrial archaeology are fundamentally bound up in the interplay between material and historical data, and it is in enhancing the dialogue between these two evidentiary bodies that interdisciplinary geospatial approaches are most fruitful to these subdisciplines. Drawing on recent discussions …
Paul Robeson, Carnival, And The 2018 National Eisteddfod, Mark Rhodes
Paul Robeson, Carnival, And The 2018 National Eisteddfod, Mark Rhodes
Michigan Tech Publications
No abstract provided.
American Influences At The National Eisteddfod, Mark Rhodes
American Influences At The National Eisteddfod, Mark Rhodes
Michigan Tech Publications
No abstract provided.
Understanding Cumulative Hazards In A Rustbelt City: Integrating Gis, Archaeology, And Spatial History, Daniel Trepal, Don Lafreniere
Understanding Cumulative Hazards In A Rustbelt City: Integrating Gis, Archaeology, And Spatial History, Daniel Trepal, Don Lafreniere
Michigan Tech Publications
We combine the Historical Spatial Data Infrastructure (HSDI) concept developed within spatial history with elements of archaeological predictive modeling to demonstrate a novel GIS-based landscape model for identifying the persistence of historically-generated industrial hazards in postindustrial cities. This historical big data approach draws on over a century of both historical and modern spatial big data to project the presence of specific persistent historical hazards across a city. This research improves on previous attempts to understand the origins and persistence of historical pollution hazards, and our final model augments traditional archaeological approaches to site prospection and analysis. This study also demonstrates …