Anthropology

Permanent URI for this communityhttp://hdl.handle.net/1903/2211

Browse

Subject: search.filters.subject.Geographic information science and geodesy

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Revisiting Chert Preferences and Lithic Supply Zones of Early Archaic Northwestern Ohio: A Least Cost Path Analysis
    (2024) Bell, Meagan; Palus, Matthew; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Newly documented lithic data resulting from reconnaissance-level cultural resource management surveys recently conducted in Erie and Huron Counties, Ohio raised questions regarding northwestern Ohio’s existing model of Early Archaic chert preferences and lithic supply zones. An initial examination of the artifact assemblages revealed a scarcity of non-local Upper Mercer chert which opposed the current premise on Early Archaic chert utilization and population movements in Ohio. This study attempts to understand the implications of the scarcity of Upper Mercer chert in these northwestern Ohio Early Archaic artifact assemblages by synthesizing regional data and conducting Least Cost Path analyses with Geographic Information System software.
  • Thumbnail Image
    Item
    RECENT TIMBERING ACTIVITY AS A VARIABLE IN PREDICTIVE MODELING
    (2023) Plent, Samuel Gerard; Palus, Matthew M; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This thesis explores how the presence of recent timbering activities affects the predictive power of predictive models in regard to precontact archaeological sites. Predictive models have been used to assess the likelihood of identifying cultural resources in a given area for decades. A county-wide predictive model has not been created for any county in the state of Georgia. This research applies what is known about predictive modeling to Henry County, Georgia and assesses its accuracy. It then seeks to test predictive power of another environmental variable in order to further refine the process of predicting the location of precontact archaeological sites. The thesis focuses its efforts in Henry County, Georgia, which has multiple instances of pine silviculture areas that have been surveyed for cultural resources after being harvested. Timber has been an important natural resource in Georgia since the nineteenth century. The management of forests for the timber industry began in 1875 with the establishment of the American Forestry Association. The timbering and replanting of these areas can occur as often as every 15 to 30 years. This process can disturb soils and buried resources. Elevation, soil, and hydrology data was collected from multiple public sources including the United State Geological Survey (USGS) and the United States Department of Agriculture Natural Resources Conservation Service (USDA, NRCS). Archaeological site and previous survey data was taken from the Georgia Natural Archaeological and Historic Resources Geographic Information Systems (GNAHRGIS). The environmental data was combined to create a set of predictive models for predicting the likelihood of an area to contain a precontact archaeological site using Geographic Information Systems (GIS). Each predictive model was tested for accuracy using previously collected archaeological data. The predictive model found to be most accurate was analyzed within multiple areas containing recent timbering activities that have been previously surveyed for cultural resources. It appears that the presence of recent timbering activities does not negatively affect the predictive power of a predictive model regarding precontact archaeological sites. This is demonstrated by showing that a predicative model for the entirety of Henry County, Georgia does not lose accuracy when applied to multiple areas that have been timbered prior to survey for cultural material. Predictive models can be powerful tools in the Cultural Resource Manager’s toolkit. However, many may be reticent to apply these tools to areas that have seen large-scale industrial ground disturbing activities. This thesis has demonstrated that predictive models can still be useful tools in areas recently affected by large-scale timbering activities. While systematic survey is still necessary, this can be helpful in matters of scoping, budgeting, and planning
  • Thumbnail Image
    Item
    THE CLOISTERED INFRASTRUCTURE OF THE OHIO & ERIE CANAL: AN ANALYSIS AND INVENTORY OF THE CANAL WITH A THEORETICAL LANDSCAPE ARCHAEOLOGY AND HISTORICAL GEOGRAPHIC INFORMATION SYSTEMS APPROACH
    (2022) Waugh, Mason Richard; Palus, Matthew M; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The period of the 1820s and 1830s experienced a burst of canal construction across Ohio. The Ohio & Erie Canal connected the Cuyahoga River to Akron, and thence southward to Portsmouth along the Ohio River. The opening of the canal allowed early settlers within Ohio to easily transport products, effectively lowering the costs of goods and increasing the profitability of businesses utilizing the thoroughfare. Towns near the canal flourished as commodities previously difficult to obtain were now brought from long distances. These improvements that the Ohio & Erie Canal brought, as well as the context and significance of the canal, have been thoroughly documented in historical literature. A few intact portions of the Ohio & Erie Canal are currently included on the National Register of Historic Places (NRHP) and listed on the Ohio State Historic Preservation Office (SHPO) online Geographic Information System (GIS) mapping system. Several Cultural Resource Management (CRM) compliance surveys have also identified and documented canal remnants. However, most portions of the canal are not inventoried or listed on the SHPO online GIS mapping system. Few components of the canal are listed on the NRHP and within Scioto County there are only two locks represented on the NRHP. The general location of the Ohio & Erie Canal is well documented on historical maps; however, the placement of stream crossings and ancillary components (culverts, weirs, bridges) are poorly understood or perhaps cloistered, communicating little to the outside world as they are currently known. A series of plat maps was recorded in the early 1900s by the Canal Commission of the State of Ohio. Plat maps of the Ohio & Erie Canal in Scioto County were obtained for this project and were provided by the Ohio History Connection (2022). No large-scale effort to my knowledge has been made to georeference the plat maps of the Ohio & Erie Canal and analyze archaeological potential using Historical GIS (hGIS), which uses historical documents such as plat maps to answer questions about the past or to inventory canal features based on their location. To address the lack of recorded ancillary structures on the southern descent of the Ohio & Erie Canal, a total of 35 separate portions of the canal plat maps were georeferenced to the modern landscape to identify archaeological potential, ancillary structure locations, and to support recommendations for new contributing resources to the NRHP-listed historic districts. Seven separate categories of ancillary canal components or features which could be extrapolated from the canal plat maps were assigned GPS coordinates. The seven categories consisted of aqueducts, buildings, bridges, culverts, inlets, locks, and waste weirs. These components represent 70 individual features correlating to what was indicated on the canal plat maps through stations 1770-2660 in Scioto County. The inventory of these features breaks down the Ohio & Erie Canal component types and lists coordinates to increase accessibility of the information for future researchers and planners. A cross comparison of the portions of the canal currently listed on the NRHP and the SHPO online GIS mapping system is also completed and contained in this thesis. With the previously inventoried canal components and the newly georeferenced portions of the canal analyzed, this thesis assists further studies in assessing archaeological potential along the canal. Lastly, a recommendation is made suggesting which ancillary components along the canal could be contributing elements to the discontinuous or incomplete NRHP listing. This thesis attempts to provide interested researchers a better understanding of the ancillary components of the canal and how these components should be evaluated for NRHP eligibility. The Ohio & Erie Canal was not simply a historical waterway providing transportation of commodities, but also an early historical engineering feat containing a culmination of various structures whose design was to maintain water levels and one of the first mass engineering attempts in Ohio to manage the landscape and communities around the canal. Culverts along the canal are not only important, but they are also necessary for understanding how the Ohio & Erie Canal operated, how it adapted to certain topographical challenges, and were essential to the functioning of the canal. Removing culverts along the canal would not have allowed the canal to function due to the necessity of proper water levels. The public dissemination of the georeferenced data included in this thesis is intended to be a lasting benefit to gongoozlers, historians, researchers, and planners alike. As such this data will be made available by allowing the georeferenced maps and associated layers available through ArcGIS Pro. The map package in ArcGIS Pro is available upon request by contacting the author of this thesis.