Using GIS, this study creates a predictive model of a distinct population of
French-Canadian settlers, highlighting shared environmental characteristics of known
sites that may have factored into their decision-making process as they chose locations
for their farmsteads. While traditional historic and archaeological research has been
conducted on French Prairie, the advent of GIS and readily available data sets
facilitated this first multivariate, statistical, predictive model of French-Canadian
settlement. This study explored theoretical and logistical issues of predictive modeling
and determined that this population may be uniquely suited to predictive modeling.
Here, however, substantiating a previous settlement pattern was problematic and the
variables used produced a weak predictive model. One by-product of this research was
the digitalization, rectification and analysis of 1852 GLO maps of the French Prairie
during the development of the "known sites" data theme. As an initial attempt at
modeling, this study points to the need for ongoing archeological testing and modeling
efforts as development on and around French Prairie threatens archaeological
resources. The study suggests other environmental and social variables for further testing. / Graduation date: 2005
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/28360 |
| Date | 09 July 2004 |
| Creators | Kinoshita, Jun R. |
| Contributors | Brauner, David R. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0018 seconds