Exploratory GIS models present multiple different conceptual versions of space. This article focusses on the landscape level pathways between areas defined as suitable for land use and occupancy within the Willandra Lakes Region World Heritage Area (WLRWHA), New South Wales (NSW), Australia. Models of the potential connections between ecologically significant land use patches and key hydrology provide iterative networks of functional connectivity, highlighting salient pathways of past land use and occupancy of Country. The shape of the connections between places is important to understanding Country from the inside. Outputs from these network models are a powerful visualisation tool because they display areas where contact with the 19thc Europeans, particularly through fence construction and ground water appropriation, caused greater levels of exploitation and damage than currently recognised. Concomitantly, the benefit of situating these network techniques within an exploratory framework cannot be understated. The iterative nature of the exploratory design allows for multiple presentations of the connectivity between the spaces within the WLRWHA and therefore multiple ways of knowing and seeing space. Modelling the potential pathways between suitable patches opens the door to discussions about the diverse possible corridors of activity within pre-European settlement of Country and the corollary discussion of how European settlement substantially impacted upon these connections and continues to impact on a living Country.
Funding
The research within this article was supported by the La Trobe Internal Research Grant Scheme (IRGS), La Trobe Transforming Human Societies’ PhD scholarship, APA PhD scholarship, and funding from the overarching Mungo Archaeology Project (MAP), headed by Chief Investigator Associate Professor Nicola Stern (ARC Linkage Project (LP0775058), Environmental Evolution of the Willandra Lakes World Heritage Area, 2007–2009; ARC Discovery Project (DP1092966), Human Responses to Long Term Landscape and Climate Change, 2010–2014).