Predictive Modeling of Paleoindian and Archaic Sites across Florida with GIS
Author(s): John Sabin; Austin Cross
Year: 2018
Summary
Florida’s terminal Pleistocene and early Holocene archaeological sites form interesting settlement patterns when projected upon various geographic representations. Probably many unknown Paleoindian and Early Archaic sites still remain hidden and unstudied, as more than half of Florida’s landmass was inundated during these cultural periods. Due to constraints in visibility and access, the practical limits of traditional survey hinder progress in discovering additional sites around the state. With the advent of geographic information systems and its spatial statistics capabilities, researchers working in the area are able to utilize remote-sensing as well as other techniques to uncover new sites. In addition, predictive models can be created through the incorporation of LiDAR scans available through state databases correlated with existing spatial data. These allow for novel displays of the archaeological landscape in Florida. Conventional methods in both terrestrial and underwater excavation and mapping can now be bolstered via the aid of GIS to g a more complete picture of Paleoindian and Early Archaic settlement patterns in the coastal plains of the American Southeast.
Cite this Record
Predictive Modeling of Paleoindian and Archaic Sites across Florida with GIS. John Sabin, Austin Cross. Presented at The 82nd Annual Meeting of the Society for American Archaeology, Washington, DC. 2018 ( tDAR id: 445364)
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Keywords
Geographic Keywords
North America: Southeast United States
Spatial Coverage
min long: -93.735; min lat: 24.847 ; max long: -73.389; max lat: 39.572 ;
Record Identifiers
Abstract Id(s): 22464