Thesis abstract ‘Site Unseen: Archaeology, Cultural Resource Management, Planning and Predictive Modelling in the Melbourne Metropolitan Area’

14th November 2013

Shaun Canning

PhD, Department of Archaeology, La Trobe University, Bundoora, 2003

This main aim of this thesis is the construction of predictive models of Aboriginal archaeological site location in the Melbourne metropolitan area. Existing information from Aboriginal Affairs Victoria sites database was the primary source of data for the predictive modelling exercise. Many problematic issues regarding the construction and collection of archaeological data are identified and discussed throughout the thesis. Particular areas of concern are the biases that exist in data generated from cultural resource management surveys, which are subsequently present in the AAV database. Methods are explored for utilising biased data in predictive modelling.

Methodological improvements are suggested in order to make future data collection more rigorous. The site concept, sampling, survey intensity, shovel test pit excavation, report formats; survey design and visibility constraints are analysed and discussed in depth. The predictive model developed utilises Dempster-Shafer Belief theory (a branch of Bayesian statistics) and the IDRISI32 GIS in order to make use of the vast corpus of biased data housed in the AAV database.

Canning, S.
Thesis abstract 'Site Unseen: Archaeology, Cultural Resource Management, Planning and Predictive Modelling in the Melbourne Metropolitan Area'
2004
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Thesis Abstracts
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