USING GEOSPATIAL INFORMATION SYSTEMS TO PREDICT THE FORM OF “ROADBEDS AND ROAD SEGMENTS” CLASSIFICATIONS FOR THE CHEROKEE TRAIL OF TEARS IN MISSOURI, 1837-1839

Abstract

This thesis aims to answer the questions, “How can we efficiently use the processes of categorization and Geospatial Information System (GIS) methods and analyses to help identify the ‘form’ that various segments on the Trail of Tears, specifically the listed National Historic Trail (NHT) of the “Cherokee Trail of Tears in Missouri, 1837-1839”? Can a predictive model be developed by looking at the spatial relationships between modern roads and the suspected paths taken by the Cherokee in 1837- 1839? If so, what other information can be gained from this approach?”The classifications are derived from the National Register of Historic Properties (NRHP) Multiple Property Documentation Form (MPDF) and discuss the classifications and criteria that segments of the Trail of Tears must meet to be considered contributing characteristics. The NRHP documentation form defines these different classes of the Trail of Tears into ‘three basic forms:1) Modern Roads, 2) Limited-Use, Passable Roads, and 3) Abandoned Roads. This thesis is limited to the segments of the Trail of Tears that fall within the Mark Twain National Forest (MTNF) boundaries. Though much of the Trail has been modified into modern roads, traces are still evident in many locations along these modern routes that hold integrity from the significant period of the late 1830s. Because the Trail of Tears passes through multiple states and traverses over 6,000 miles, managing the protection of its physical traces can be a logistical challenge for cultural resource managers. For this thesis, I developed a carefully constructed GIS model that is able to predict these classifications of various Trail of Tears segments using a sequence of geoprocessing methods, logical operators, and Boolean algebraic expressions. Using GIS, I determine the spatial relationship between the National Park Service’s Trail of Tears linear data and the extant roads that have been documented to date. I then use statistical analysis to assess the model itself and its findings. The results identified seventeen segments of the Trail that are likely to hold integrity in the roadbed and road segment form three: abandoned. This is important because this form is the most sensitive to any undertakings and includes the segments that hold the greatest amount of integrity. The results also confirmed that the Trail of Tears does have a spatial relationship with many modern and limited-use roads that are still used today. Basic statistical analysis confirmed that the sample segments used to develop the draft model are representative of the model’s outcomes when applied to a forest-wide scale and that a total of 68.94 miles of the Trail crosses through the Mark Twain National Forest. This thesis also emphasizes collaboration and consultation methods with the Cherokee Nation throughout the chapters as the way forward before this model is considered finished. The intent of this thesis is to provide a management tool for cultural resource managers to predict which segments of the Trail of Tears fall into the three classifications by using a specific set of geoprocessing methods. This tool can be helpful in identifying areas of the Trail that may hold more physical integrity than others and implementing specific protection measures from any undertakings. It also adds to our understanding of the Trail of Tears within the MTNF. This model can also contribute to our understanding of the Trail of Tears and the hardships the Cherokee faced during that time. It will also provide research and public education opportunities so we can adequately convey the significance that the Trail of Tears has in our history. This model is built to be flexible for adding additional parameters that may be added through future research or consultation. The methodology used to produce this model would stay the same if used in other areas where the Trail crosses. The input parameters are likely to differ, but the methodology would stand.