Non-Spatial Data and Modelling Multiscale Systems in Archaeology

Abstract

Abstract This article discusses the multiscale nature of modelling in archaeology and its relationship with higher-level spatial analysis. The application and purpose of modelling in archaeology is as varied as the multidisciplinary field itself. With the increasing integration of geographical information systems (GIS) and other digital methods into the archaeological workflow, both new opportunities and potential pitfalls present themselves. The struggle of balancing informal inferences of human behaviour in a formal system, such as GIS, has been the subject of much discussion, as well as the questioning of whether some modelling tasks would be better suited for implementation outside the GIS environment. Higher-level spatial analysis is dependent on a number of lower-level models, each building on the other, inheriting both information and uncertainties. These nuances can be difficult to demonstrate clearly once they have been incorporated into another model, potentially obscured further when restricted by the “geographical space” that is central to GIS. Rather than forcing informal models into a formal environment, an alternative would be to opt instead for the visualization of these within the more flexible “variable space,” where the data are front and centre, and spatial and temporal concepts can function as a means of explaining patterns in the model. This article discusses aspects of the challenges and opportunities involved in these types of analysis and provides examples of alternate approaches that could be considered non-spatial.