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Historical and Archaeological Analysis

Historical Analysis

Census data stored in AccessCensus data stored in Access

GIS can be used to map the locations of historical resources in our community. These historical site locations can then be connected to information gathered from sources such as the manuscript census record or old maps and images of these locations. This allows for the easy exploration of multiple records that can help you understand the history behind the site.

Chestertown Historical Geography Project

3D Visualization of a historic building3D Visualization of a historic building

This project creates a GIS for the town of Chestertown. The project uses the historic Sanborn maps and census data to create interactive maps that highlight historic properties and allow the user to analyze demographic trends. The project georeferences the Sanborn Maps to current Chestertown GIS data. Access databases were created to store the census data for the years 1900, 1910, and 1920. The census records are linked to the specific addresses on the digitized Sanborn maps. At this point, the data is used to analyze demographic variables over time and space. The final project will be made freely available to members of the Chestertown community, the Kent County Historical Commission, as well as the Kent County Public Library and the Kent County School District.

Archaeological Analysis

GIS is used to map known archaeological resources for cultural resource management purposes and can also be used to predict where unknown sites are located based on analysis of the existing geospatial characteristics of known sites.

Archaeology Predictive Model

Soil types, available natural resources (waterways), and landscape conditions (topography) were used to create the Predictive Model in 2004. Washington College Field School students survey a plowed field to test the Predictive Model over several years.

This data is currently being analyzed to determine a variety of information. The size and number of new archaeological sites as well the range of sites in relation to the Archaeological Predictive Model zones will provide supporting evidence for the Predictive Model study.